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| computer vision in warehouse management: Investigations in Pattern Recognition and Computer Vision for Industry 4.0 Chowdhary, Chiranji Lal, Swain, Basanta Kumar, Kumar, Vijay, 2023-09-07 The approaches to computer vision have undergone a long journey in recent years, but still, innovations are continuing with leverage increases in computing power, new data availability, and new ways to leverage machine-learning algorithms. As a branch of artificial intelligence (AI), computer vision brings meaningful information from images and videos. Such innovations help communicators to run better campaigns, amplify messages further, and stand out in a noisy, crowded marketplace. Investigations in Pattern Recognition and Computer Vision for Industry 4.0 provides a holistic discussion of the new practical applications and use cases of computer vision and communications. Covering topics such as social media filters, mobile computer vision, and AI-powered image editing, this book is ideal for academicians, researchers, postgraduate students, professional data analysts, research and development centers, organizations dealing with healthcare informatics, and IT firms. |
| computer vision in warehouse management: Intelligent Systems and Applications in Computer Vision Nitin Mittal, Amit Kant Pandit, Mohamed Abouhawwash, Shubham Mahajan, 2023-11-02 The book comprehensively covers a wide range of evolutionary computer vision methods and applications, feature selection and extraction for training and classification, and metaheuristic algorithms in image processing. It further discusses optimized image segmentation, its analysis, pattern recognition, and object detection. Features: Discusses machine learning-based analytics such as GAN networks, autoencoders, computational imaging, and quantum computing. Covers deep learning algorithms in computer vision. Showcases novel solutions such as multi-resolution analysis in imaging processing, and metaheuristic algorithms for tackling challenges associated with image processing. Highlight optimization problems such as image segmentation and minimized feature design vector. Presents platform and simulation tools for image processing and segmentation. The book aims to get the readers familiar with the fundamentals of computational intelligence as well as the recent advancements in related technologies like smart applications of digital images, and other enabling technologies from the context of image processing and computer vision. It further covers important topics such as image watermarking, steganography, morphological processing, and optimized image segmentation. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in fields including electrical engineering, electronics, communications engineering, and computer engineering. |
| computer vision in warehouse management: Handbook of Research on Thrust Technologies Effect on Image Processing Pandey, Binay Kumar, Pandey, Digvijay, Anand, Rohit, Mane, Deepak S., Nassa, Vinay Kumar, 2023-08-04 Image processing integrates and extracts data from photos for a variety of uses. Applications for image processing are useful in many different disciplines. A few examples include remote sensing, space applications, industrial applications, medical imaging, and military applications. Imaging systems come in many different varieties, including those used for chemical, optical, thermal, medicinal, and molecular imaging. To extract the accurate picture values, scanning methods and statistical analysis must be used for image analysis. Thrust Technologies Effect on Image Processing provides insights into image processing and the technologies that can be used to enhance additional information within an image. The book is also a useful resource for researchers to grow their interest and understanding in the burgeoning fields of image processing. Covering key topics such as image augmentation, artificial intelligence, and cloud computing, this premier reference source is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students. |
| computer vision in warehouse management: Computer Vision Systems Dimitrios Tzovaras, Dimitrios Giakoumis, Markus Vincze, Antonis Argyros, 2019-11-22 This book constitutes the refereed proceedings of the 12th International Conference on Computer Vision Systems, ICVS 2019, held in Thessaloniki, Greece, in September 2019. The 72 papers presented were carefully reviewed and selected from 114 submissions. The papers are organized in the following topical sections; hardware accelerated and real time vision systems; robotic vision; vision systems applications; high-level and learning vision systems; cognitive vision systems; movement analytics and gesture recognition for human-machine collaboration in industry; cognitive and computer vision assisted systems for energy awareness and behavior analysis; and vision-enabled UAV and counter UAV technologies for surveillance and security of critical infrastructures. |
| computer vision in warehouse management: Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021) Aboul Ella Hassanien, Abdelkrim Haqiq, Peter J. Tonellato, Ladjel Bellatreche, Sam Goundar, Ahmad Taher Azar, Essaid Sabir, Driss Bouzidi, 2021-05-28 This book presents the 2nd International Conference on Artificial Intelligence and Computer Visions (AICV 2021) proceeding, which took place in Settat, Morocco, from June 28- to 30, 2021. AICV 2021 is organized by the Scientific Research Group in Egypt (SRGE) and the Computer, Networks, Mobility and Modeling Laboratory (IR2M), Hassan 1st University, Faculty of Sciences Techniques, Settat, Morocco. This international conference highlighted essential research and developments in the fields of artificial intelligence and computer visions. The book is divided into sections, covering the following topics: Deep Learning and Applications; Smart Grid, Internet of Things, and Mobil Applications; Machine Learning and Metaheuristics Optimization; Business Intelligence and Applications; Machine Vision, Robotics, and Speech Recognition; Advanced Machine Learning Technologies; Big Data, Digital Transformation, AI and Network Analysis; Cybersecurity; Feature Selection, Classification, and Applications. |
| computer vision in warehouse management: COMPUTER VISION Diego Rodrigues, 2024-11-16 COMPUTER VISION: Introduction, Fundamentals, and Practical Applications is an indispensable work for students, professionals, and technology enthusiasts who seek to master the field of computer vision. This book, written by Diego Rodrigues, an internationally renowned author with over 180 titles published in six languages, offers a comprehensive and practical approach, covering everything from basic concepts to the most advanced and innovative applications of this transformative technology. This complete guide provides the reader with a deep understanding of the key techniques and tools used in computer vision. The chapters are structured to offer a logical and smooth progression, ensuring that learning is both accessible and profound. Throughout the book, the reader will be exposed to fundamental topics such as image acquisition and processing, segmentation and edge detection, convolutional neural networks (CNNs), and pattern recognition. Practical applications in areas such as industrial automation, autonomous vehicles, augmented and virtual reality, connected health, and computer vision security will also be explored. This book stands out for its focus on real-world applications and case studies that demonstrate how computer vision is being utilized by major companies such as Google, Microsoft, IBM, NVIDIA, Tesla, Amazon, Apple, Palo Alto Networks, Cisco Systems, Check Point, Symantec, McAfee, Splunk, CrowdStrike, Fortinet, Tenable, Nessus, OpenVAS, Wireshark, AWS, Microsoft Azure, Google Cloud, IBM Cloud, and other market leaders. These companies are leveraging the power of computer vision to optimize operations, enhance security, and innovate in products and services. The content also addresses crucial issues such as privacy and ethics in computer vision, a topic of growing importance in the digital age. Visual data security, compliance with regulations like GDPR, HIPAA, and PCI DSS, and best practices for protecting sensitive information are discussed in depth, ensuring that the reader is prepared to deal with the ethical and legal challenges associated with the use of computer vision technologies. Combining theoretical clarity with practical applicability, **COMPUTER VISION: Introduction, Fundamentals, and Practical Applications** is ideal for both beginners taking their first steps in the field and experienced professionals looking to deepen their knowledge and skills. Each chapter has been carefully developed to ensure that the reader acquires a solid understanding and is able to apply the concepts learned effectively and efficiently. Open the free sample and discover how this work can be the difference in your career, bringing innovation, efficiency, and a strategic perspective that will position you ahead in an increasingly competitive and digital market. 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| computer vision in warehouse management: Computational Intelligence Techniques for Sustainable Supply Chain Management Sanjoy Kumar Paul, Sandeep Kautish, 2024-05-24 Sustainable supply chain management involves integrating environmentally and financially viable practices into the complete supply chain lifecycle, from product design and development to material selection and sourcing, manufacturing, packaging, transportation, and distribution. A sustainable supply chain ensures balance between economic, social, and environmental performances – such as better assurance of human rights, ethical work practices, carbon footprint reduction, waste management, and resource efficiency. Computational Intelligence Techniques for Sustainable Supply Chain Management presents state-of-the-art computational intelligence techniques and applications for supply chain sustainability issues and logistic problems, filling the gap between general textbooks on sustainable supply chain management and more specialized literature dealing with methods for computational intelligence. This book focuses on addressing problems in advanced topics in the sustainable supply chain, and will appeal to practitioners, managers, researchers, academicians, students, and professionals interested in sustainable logistics, sustainable procurement, sustainable manufacturing, sustainable inventory and production management, sustainable scheduling, sustainable transportation, and sustainable network design. - Serves as a reference on computational intelligence–enabled sustainable supply chains for graduate students in computer/data science, industrial engineering, industrial ecology, and business - Explores key topics in sustainable supply chain informatics, that is, heuristics, metaheuristics, robotics, simulation, machine learning, big data analytics and artificial intelligence - Provides a foundation for industry leaders and professionals to understand recent and cutting-edge methodologies and technologies in the domain of sustainable supply chain powered by computational intelligence techniques |
| computer vision in warehouse management: Pattern Recognition and Computer Vision Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu, Tieniu Tan, Yaonan Wang, Jianhuang Lai, Yao Zhao, 2021-10-22 The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding. |
| computer vision in warehouse management: Industry Automation: The Technologies, Platforms and Use Cases Pethuru Raj, Abhishek Kumar, Ananth Kumar, Neha Singhal, 2024-08-23 This book details cutting-edge technologies, versatile tools, adaptive processes, integrated platforms, and best practices of digitized systems. With the faster maturity and stability of digitization and digitalization technologies, all kinds of physical, mechanical, and electrical systems in our everyday environments (homes, hotels, hospitals, manufacturing floors, etc.) have become digitized systems. Such technology has empowered systems to gain the power to join and contribute to fulfilling the goals of modern computing. Such digitized entities assist in producing and deploying hugely complicated yet sophisticated context-aware services and applications. The other principal contribution is capturing environmental data in real time and enabling local data processing to bring forth actionable insights. This facilitates insight-driven decisions and deeds. Precisely speaking, the aspects of real-time knowledge discovery and dissemination enable the creation and delivery of real-time and real-world features and functionalities. All industrial artifacts are being digitized, connected and empowered to be cognitive in their operations, offerings and outputs. By smartly leveraging a dazzling array of digital technologies and tools, the interaction and collaboration with human experts becomes hugely simplified and speeded up considerably. Such cognition-enabled industrial machineries, equipment, appliances, assembly lines, robots, vehicles, drones, and other assets collectively provide an intelligent environment to envisage and realize state-of-the-art industry 4.0 and 5.0 applications. Every industrial process gets optimized and automated to produce next-generation products to ensure customer delight, to explore fresh avenues to enhance revenues and to embark on higher productivity. In addition, there are chapters illustrating industrial use cases, infrastructure optimization, technology assimilation, and AI-powered data analytics towards industry automation. |
| computer vision in warehouse management: Automation in Warehouse Development Roelof Hamberg, Jacques Verriet, 2011-10-28 The warehouses of the future will come in a variety of forms, but with a few common ingredients. Firstly, human operational handling of items in warehouses is increasingly being replaced by automated item handling. Extended warehouse automation counteracts the scarcity of human operators and supports the quality of picking processes. Secondly, the development of models to simulate and analyse warehouse designs and their components facilitates the challenging task of developing warehouses that take into account each customer’s individual requirements and logistic processes. Automation in Warehouse Development addresses both types of automation from the innovative perspective of applied science. In particular, it describes the outcomes of the Falcon project, a joint endeavour by a consortium of industrial and academic partners. The results include a model-based approach to automate warehouse control design, analysis models for warehouse design, concepts for robotic item handling and computer vision, and autonomous transport in warehouses. Automation in Warehouse Development is targeted at both academic researchers and industrial practitioners. It provides state-of-the art research on warehouse automation and model-based warehouse design. These topics have been addressed from a systems engineering perspective by researchers from different disciplines including software, control, and mechanical engineering, with a clear focus on the industrial applications of their research. |
| computer vision in warehouse management: Cognitive Internet of Things Pethuru Raj, Anupama C. Raman, Harihara Subramanian, 2022-03-29 The Internet of Things (IoT) concept is defined as a flexible and futuristic network where all the different types of devices and smart objects can become seamlessly connected to each other and can actively participate in all types of processes which are happening around us. The grand objective of making physical, mechanical, electrical, and electronic devices to use the deeper and extreme connectivity and service-enablement techniques is to make them intelligent in their deeds, decisions, and deals. Cognitive IoT is the application of cognitive computing technologies to the data which is generated by the connected devices of the IoT ecosystem. Cognition means thinking; however, computers are not yet fully capable of mimicking human like thought. However, the present-day computer systems can perform some functions which are like the capability of human beings to think. Cognitive Internet of Things: Enabling Technologies, Platforms, and Use Cases explains the concepts surrounding Cognitive IoT. It also looks at the use cases and such supporting technologies as artificial intelligence and machine learning that act as key enablers of Cognitive IoT ecosystem. Different Cognitive IoT enabled platforms like IBM Watson and other product specific use cases like Amazon Alexa are covered in depth. Other highlights of the book include: Demystifying the cognitive computing paradigm Delineating the key capabilities of cognitive cloud environments Deep learning algorithms for cognitive IoT solutions Natural language processing (NLP) methods for cognitive IoT systems Designing a secure infrastructure for cognitive IoT platforms and applications |
| computer vision in warehouse management: Utilization of AI Technology in Supply Chain Management Pandey, Digvijay, Pandey, Binay Kumar, Kanike, Uday Kumar, George, A. Shaji, Kaur, Prabjot, 2024-03-01 The surge in digital transformation and the integration of innovative technologies into manufacturing processes have given rise to a pressing issue in supply chain management. Businesses are in dire need of solutions to navigate this complexity and harness the true potential of intelligent supply chains. Utilization of AI Technology in Supply Chain Management is a comprehensive guide tailored for academic scholars seeking to unravel the mysteries of artificial intelligence (AI) and machine learning (ML) in the context of supply chain management. Amid the hype surrounding AI and ML, there exists a critical need to bridge the gap between human expertise and technological advancements. Utilization of AI Technology in Supply Chain Management addresses this necessity by delving into real-world instances where teams have successfully employed these innovative technologies to enhance supply chain performance, reduce inventory, and optimize routes. The adoption of AI and ML is not just a trend; it is the cornerstone of digital acceleration initiatives, making it imperative for scholars to understand and leverage these technologies effectively. |
| computer vision in warehouse management: Artificial Intelligence in Business Management Teik Toe Teoh, Yu Jin Goh, 2023-11-26 Artificial intelligence (AI) is rapidly gaining significance in the business world. With more and more organizations adopt AI technologies, there is a growing demand for business leaders, managers, and practitioners who can harness AI’s potential to improve operations, increase efficiency, and drive innovation. This book aims to help management professionals exploit the predictive powers of AI and demonstrate to AI practitioners how to apply their expertise in fundamental business operations. It showcases how AI technology innovations can enhance various aspects of business management, such as business strategy, finance, and marketing. Readers interested in AI for business management will find several topics of particular interest, including how AI can improve decision-making in business strategy, streamline operational processes, and enhance customer satisfaction. As AI becomes an increasingly important tool in the business world, this book offers valuable insights into how it can be applied to various industries and business settings. Through this book, readers will gain a better understanding of how AI can be applied to improve business management practices and practical guidance on how to implement AI projects in a business context. This book also provides practical guides on how to implement AI projects in a business context using Python programming. By reading this book, readers will be better equipped to make informed decisions about how to leverage AI for business success. |
| computer vision in warehouse management: Computer Vision and Information Technology K. V. Kale, S. C. Mehrotra, R. R. Manza, 2010 Spread in 133 articles divided in 20 sections the present treatises broadly discusses: Part 1: Image Processing Part 2: Radar and Satellite Image Processing Part 3: Image Filtering Part 4: Content Based Image Retrieval Part 5: Color Image Processing and Video Processing Part 6: Medical Image Processing Part 7: Biometric Part 8: Network Part 9: Mobile Computing Part 10: Pattern Recognition Part 11: Pattern Classification Part 12: Genetic Algorithm Part 13: Data Warehousing and Mining Part 14: Embedded System Part 15: Wavelet Part 16: Signal Processing Part 17: Neural Network Part 18: Nanotechnology and Quantum Computing Part 19: Image Analysis Part 20: Human Computer Interaction |
| computer vision in warehouse management: Inside Nvidia: Jensen Huang's Vision for Artificial Intelligence Alistair Maxwell, PhD, Daniel D. Lee, 2024-08-06 Inside Nvidia: Jensen Huang's Vision for Artificial Intelligence by Dr. Alistair Maxwell, PhD, is a comprehensive exploration of Nvidia's journey from a fledgling graphics card company to a global leader in AI technology. Through meticulous research and insightful analysis, Dr. Maxwell delves into the strategic decisions and visionary leadership of Jensen Huang, the co-founder and CEO of Nvidia. This book provides readers with an in-depth understanding of how Nvidia has revolutionized industries ranging from gaming to healthcare with its cutting-edge GPUs and AI advancements. It covers the company's strategic acquisitions, partnerships, and innovations that have positioned it at the forefront of the AI revolution. Dr. Maxwell also explains complex AI concepts, making them accessible to the average reader, and explores the ethical considerations and future prospects of AI technology. From the architecture of Nvidia’s GPUs to their applications in autonomous vehicles, healthcare, and beyond, Inside Nvidia is a must-read for anyone interested in the intersection of technology, business, and artificial intelligence. Published by AGI Publishing, this book is not only a detailed account of Nvidia’s past and present but also a visionary look at the future of AI and its potential to transform our world. Available now on Google Play, this book is perfect for technology enthusiasts, business leaders, and anyone curious about the future of AI. Dive into the fascinating story of Nvidia and discover how Jensen Huang's vision is shaping the future of artificial intelligence. |
| computer vision in warehouse management: The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022) Aboul Ella Hassanien, Rawya Y. Rizk, Václav Snášel, Rehab F. Abdel-Kader, 2022-04-16 This book constitutes the refereed proceedings of the 8th International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2022, held in Cairo, Egypt, during May 5-7, 2022. The 8th edition of AMLTA will be organized by the Scientific Research Group in Egypt (SRGE), Egypt, collaborating with Port Said University, Egypt, and VSB-Technical University of Ostrava, Czech Republic. AMLTA series aims to become the premier international conference for an in-depth discussion on the most up-to-date and innovative ideas, research projects, and practices in the field of machine learning technologies and their applications. The book covers current research on advanced machine learning technology, including deep learning technology, sentiment analysis, cyber-physical system, IoT, and smart cities informatics and AI against COVID-19, data mining, power and control systems, business intelligence, social media, digital transformation, and smart systems. |
| computer vision in warehouse management: Complex AI Dynamics and Interactions in Management Figueiredo, Paula Cristina Nunes, 2024-02-19 Artificial Intelligence (AI) permeates our daily lives, revolutionizing routine tasks. However, the profound implications of AI on business management demand meticulous scrutiny. Leaders and organizations must proactively shape strategies to align with the tenets of this new era. This necessitates a commitment to innovatively amalgamate data, technology, design, and human expertise to address real-world challenges on a large scale. Beyond concerns about the future of work and potential job displacement due to automation, societal readiness at all levels becomes paramount for AI to benefit humanity. Complex AI Dynamics and Interactions in Management guides leaders and organizations navigating this transformative era. It facilitates a seamless transition by advocating successful AI initiatives, discerning optimal opportunities, fostering diverse expert teams, conducting strategic experiments, and crafting solutions that contribute to the benefit of both the organization and society. This book is a valuable resource for managers and decision-makers, providing insights on leveraging AI to enhance business sustainability. This initiative allows collaboration among stakeholders, including professionals from public and private sectors, human resources specialists, data experts, and academics from various countries. |
| computer vision in warehouse management: Supply Chain Management and Logistics in the Global Fashion Sector Rajkishore Nayak, 2020-11-12 The ways in which we design, make, transport and then discard clothes has a huge social and environmental impact. This book covers responsible business practices and sustainability in the fashion industry from the raw fibre stage, through production, to the point of customer consumption. The concepts of responsibility and sustainability are fast becoming essential factors in business decisions and Supply Chain Management and Logistics in the Global Fashion Sector leads the reader through the multiple stages in the supply chain that can impact on business strategy. A perfect resource for students studying fashion and for those working in the sector who wish to identify the latest thinking as they plan sustainability strategies, the book is divided into four clear sections. Part I of the book examines sustainability in the supply chain by identifying the three pillars of sustainability (social, economic and environmental) and considers how fashion brands are innovating in this area. Part II looks at fashion logistics and supply chain operations by assessing fibre, yarn and fabric considerations, logistical issues for both garment production, and service delivery, stock control, transportation, barriers and risks. Part III develops the logistics theme further by identifying recent trends and case studies that highlight agility and lean management structures, and the application of transparency enhancing radio frequency identification (RFID). This section further applies modelling and simulation techniques from the automotive and pharmaceutical industries to the fashion sector. Part IV considers how sustainability can be embedded into the multi-tiered fashion supply chain and its selling environment. |
| computer vision in warehouse management: Shape, Contour and Grouping in Computer Vision David A. Forsyth, Joseph L. Mundy, Vito di Gesu, Roberto Cipolla, 1999-11-03 Computer vision has been successful in several important applications recently. Vision techniques can now be used to build very good models of buildings from pictures quickly and easily, to overlay operation planning data on a neuros- geon’s view of a patient, and to recognise some of the gestures a user makes to a computer. Object recognition remains a very di cult problem, however. The key questions to understand in recognition seem to be: (1) how objects should be represented and (2) how to manage the line of reasoning that stretches from image data to object identity. An important part of the process of recognition { perhaps, almost all of it { involves assembling bits of image information into helpful groups. There is a wide variety of possible criteria by which these groups could be established { a set of edge points that has a symmetry could be one useful group; others might be a collection of pixels shaded in a particular way, or a set of pixels with coherent colour or texture. Discussing this process of grouping requires a detailed understanding of the relationship between what is seen in the image and what is actually out there in the world. |
| computer vision in warehouse management: Revolutionizing Supply Chains Through Digital Transformation Benatiya Andaloussi, Manal, 2024-11-08 In the modern business landscape, the confluence of digital technologies with supply chain management (SCM) has ushered in an era of unprecedented change and opportunity. The concept of SCM, once rooted in traditional logistics and operational efficiency, has evolved into a sophisticated, technology-driven discipline. It is essential to leverage advanced tools to optimize supply chain processes, enhance transparency, and drive more informed decision-making. These innovations not only improve efficiency but also offer businesses a competitive edge in an increasingly complex global market. Revolutionizing Supply Chains Through Digital Transformation offers a comprehensive examination of how digital innovations are not only transforming supply chains but are also fundamentally redefining the value creation process across industries. It delves into the integration of technologies reshaping the way businesses manage their supply chains. Covering topics such as 5G technology, decarbonized transportation, and waste management, this book is an excellent resource for academicians, researchers, supply chain and operations management professionals, executives, managers, decision makers, and graduate and postgraduate students. |
| computer vision in warehouse management: Hands-On Reinforcement Learning with Python Sudharsan Ravichandiran, 2018-06-28 A hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python Key Features Your entry point into the world of artificial intelligence using the power of Python An example-rich guide to master various RL and DRL algorithms Explore various state-of-the-art architectures along with math Book Description Reinforcement Learning (RL) is the trending and most promising branch of artificial intelligence. Hands-On Reinforcement learning with Python will help you master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms. The book starts with an introduction to Reinforcement Learning followed by OpenAI Gym, and TensorFlow. You will then explore various RL algorithms and concepts, such as Markov Decision Process, Monte Carlo methods, and dynamic programming, including value and policy iteration. This example-rich guide will introduce you to deep reinforcement learning algorithms, such as Dueling DQN, DRQN, A3C, PPO, and TRPO. You will also learn about imagination-augmented agents, learning from human preference, DQfD, HER, and many more of the recent advancements in reinforcement learning. By the end of the book, you will have all the knowledge and experience needed to implement reinforcement learning and deep reinforcement learning in your projects, and you will be all set to enter the world of artificial intelligence. What you will learn Understand the basics of reinforcement learning methods, algorithms, and elements Train an agent to walk using OpenAI Gym and Tensorflow Understand the Markov Decision Process, Bellman’s optimality, and TD learning Solve multi-armed-bandit problems using various algorithms Master deep learning algorithms, such as RNN, LSTM, and CNN with applications Build intelligent agents using the DRQN algorithm to play the Doom game Teach agents to play the Lunar Lander game using DDPG Train an agent to win a car racing game using dueling DQN Who this book is for If you’re a machine learning developer or deep learning enthusiast interested in artificial intelligence and want to learn about reinforcement learning from scratch, this book is for you. Some knowledge of linear algebra, calculus, and the Python programming language will help you understand the concepts covered in this book. |
| computer vision in warehouse management: Impacts of Technology on Operations Management: Adoption, Adaptation, and Optimization Ullah, Asad, Pandey, Jitendra, Masengu, Reason, 2024-10-11 The impact of technology on operations management reshapes how organizations approach adoption, adaptation, and optimization of their processes. As businesses integrate advanced technologies such as automation, data analytics, and artificial intelligence, they are revolutionizing operational efficiency. The adoption of these technologies helps streamline workflows while enhancing decision-making capabilities. Adaptation strategically implements these innovations to align with organizational needs, while optimization drives continuous improvement by enabling precise performance tracking and predictive analytics. More exploration into these technological advancements may assist businesses in refining their operations, reducing costs, and achieving greater competitive advantage in todays market. Impacts of Technology on Operations Management: Adoption, Adaptation, and Optimization examines the impact of technology on operations management within organizations. It explores solutions for business optimization, quality management, and product development using technology like AI, IoT, smart and digital technology, and data algorithms. This book covers topics such as circular economy, digital technology, and supply chains, and is a useful resource for computer engineers, managers, business owners, economists, scientists, academicians, and researchers. |
| computer vision in warehouse management: Embedded, Cyber-Physical, and IoT Systems Shuvra S. Bhattacharyya, Miodrag Potkonjak, Senem Velipasalar, 2019-06-29 This Festschrift is in honor of Marilyn Wolf, on the occasion of her 60th birthday. Prof. Wolf is a renowned researcher and educator in Electrical and Computer Engineering, who has made pioneering contributions in all of the major areas in Embedded, Cyber-Physical, and Internet of Things (IoT) Systems. This book provides a timely collection of contributions that cover important topics related to Smart Cameras, Hardware/Software Co-Design, and Multimedia applications. Embedded systems are everywhere; cyber-physical systems enable monitoring and control of complex physical processes with computers; and IoT technology is of increasing relevance in major application areas, including factory automation, and smart cities. Smart cameras and multimedia technologies introduce novel opportunities and challenges in embedded, cyber-physical and IoT applications. Advanced hardware/software co-design methodologies provide valuable concepts and tools for addressing these challenges. The diverse topics of the chapters in this Festschrift help to reflect the great breadth and depth of Marilyn Wolf's contributions in research and education. The chapters have been written by some of Marilyn’s closest collaborators and colleagues. |
| computer vision in warehouse management: Understanding Artificial Intelligence Albert Chun-Chen Liu, Oscar Ming Kin Law, Iain Law, 2022-09-21 Understanding Artificial Intelligence Provides students across majors with a clear and accessible overview of new artificial intelligence technologies and applications Artificial intelligence (AI) is broadly defined as computers programmed to simulate the cognitive functions of the human mind. In combination with the Neural Network (NN), Big Data (BD), and the Internet of Things (IoT), artificial intelligence has transformed everyday life: self-driving cars, delivery drones, digital assistants, facial recognition devices, autonomous vacuum cleaners, and mobile navigation apps all rely on AI to perform tasks. With the rise of artificial intelligence, the job market of the near future will be radically different???many jobs will disappear, yet new jobs and opportunities will emerge. Understanding Artificial Intelligence: Fundamentals and Applications covers the fundamental concepts and key technologies of AI while exploring its impact on the future of work. Requiring no previous background in artificial intelligence, this easy-to-understand textbook addresses AI challenges in healthcare, finance, retail, manufacturing, agriculture, government, and smart city development. Each chapter includes simple computer laboratories to teach students how to develop artificial intelligence applications and integrate software and hardware for robotic development. In addition, this text: Focuses on artificial intelligence applications in different industries and sectors Traces the history of neural networks and explains popular neural network architectures Covers AI technologies, such as Machine Vision (MV), Natural Language Processing (NLP), and Unmanned Aerial Vehicles (UAV) Describes various artificial intelligence computational platforms, including Google Tensor Processing Unit (TPU) and Kneron Neural Processing Unit (NPU) Highlights the development of new artificial intelligence hardware and architectures Understanding Artificial Intelligence: Fundamentals and Applications is an excellent textbook for undergraduates in business, humanities, the arts, science, healthcare, engineering, and many other disciplines. It is also an invaluable guide for working professionals wanting to learn about the ways AI is changing their particular field. |
| computer vision in warehouse management: Applications of New Technology in Operations and Supply Chain Management Taghipour, Atour, 2024-08-26 The International Data Corporation (IDC) has unveiled a series of transformative predictions to reshape operations and supply chain management, leading companies to re-assess their processes. Applications of New Technology in Operations and Supply Chain Management offers an in-depth exploration of how emerging technologies are positioned to revolutionize the way businesses execute and coordinate their operations. The book delves into the adoption of digital technologies, the shift to cloud technology, and the emergence of real-time operational insights that can be accessed from anywhere. For instance, 2026 ushers in integrating digital tools for measuring carbon footprints and the increased use of robots in unconventional domains, such as remote inspection and maintenance. By 2027, augmented reality technology will take center stage, reducing operator and field worker errors. Furthermore, remote operations embrace satellite-based artificial intelligence or machine learning technologies, revolutionizing data collection and analysis at the edge. |
| computer vision in warehouse management: Proceedings of International Conference on Artificial Intelligence and Communication Technologies (ICAICT 2023) Roumen Kountchev, Srikanta Patnaik, Kazumi Nakamatsu, Roumiana Kountcheva, 2023-11-13 This book gathers selected papers presented at the International Conference on Artificial Intelligence and Communication Technologies (ICAICT2023), held at Shenzhen, China during June 2023. The first volume of the proceedings will focus on the newest methods and algorithms in smart wireless communications in the areas of Remote sensing and machine learning, Intelligent image and data processing, Health systems and security, Intelligent teaching applications and many others. |
| computer vision in warehouse management: Changing Face Of E-commerce In Asia Abhishek Behl, Pankaj Dutta, Pratima Amol Sheorey, Chris Rowley, 2022-03-23 Asia has been a hub for e-commerce companies in the past decade and the growth trajectory narrates the story of bright future. Its growth has largely impacted the economic, social and technological advancements in every country and contributed to global trade. Nonetheless, the success and failure of e-commerce companies lies on various factors, some of which include product pricing, competition, strategies and business models. However, with surveys in India indicating how sale of counterfeit products remains a significant problem for online shoppers across many e-commerce sites, e-commerce companies claim they are taking tough steps to ensure that counterfeit products do not make their way to customers, by delisting fraud sellers, using tamper-proof packaging and monitoring warehouses.This book aims to unwrap the stories of e-commerce companies in Asia and how they have contributed to the society. It discusses the growth and failures of some e-commerce giants and looks at both theoretical and practical aspects of e-commerce by presenting the issues, challenges and successes of e-commerce businesses. It examines interdisciplinary and transdisciplinary aspects from micro and macro perspectives and links disciplines like strategy, management, entrepreneurship, competitiveness, finance, technology and operations. |
| computer vision in warehouse management: Python Reinforcement Learning Sudharsan Ravichandiran, Sean Saito, Rajalingappaa Shanmugamani, Yang Wenzhuo, 2019-04-18 Apply modern reinforcement learning and deep reinforcement learning methods using Python and its powerful libraries Key FeaturesYour entry point into the world of artificial intelligence using the power of PythonAn example-rich guide to master various RL and DRL algorithmsExplore the power of modern Python libraries to gain confidence in building self-trained applicationsBook Description Reinforcement Learning (RL) is the trending and most promising branch of artificial intelligence. This Learning Path will help you master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms. The Learning Path starts with an introduction to RL followed by OpenAI Gym, and TensorFlow. You will then explore various RL algorithms, such as Markov Decision Process, Monte Carlo methods, and dynamic programming, including value and policy iteration. You'll also work on various datasets including image, text, and video. This example-rich guide will introduce you to deep RL algorithms, such as Dueling DQN, DRQN, A3C, PPO, and TRPO. You will gain experience in several domains, including gaming, image processing, and physical simulations. You'll explore TensorFlow and OpenAI Gym to implement algorithms that also predict stock prices, generate natural language, and even build other neural networks. You will also learn about imagination-augmented agents, learning from human preference, DQfD, HER, and many of the recent advancements in RL. By the end of the Learning Path, you will have all the knowledge and experience needed to implement RL and deep RL in your projects, and you enter the world of artificial intelligence to solve various real-life problems. This Learning Path includes content from the following Packt products: Hands-On Reinforcement Learning with Python by Sudharsan RavichandiranPython Reinforcement Learning Projects by Sean Saito, Yang Wenzhuo, and Rajalingappaa ShanmugamaniWhat you will learnTrain an agent to walk using OpenAI Gym and TensorFlowSolve multi-armed-bandit problems using various algorithmsBuild intelligent agents using the DRQN algorithm to play the Doom gameTeach your agent to play Connect4 using AlphaGo ZeroDefeat Atari arcade games using the value iteration methodDiscover how to deal with discrete and continuous action spaces in various environmentsWho this book is for If you’re an ML/DL enthusiast interested in AI and want to explore RL and deep RL from scratch, this Learning Path is for you. Prior knowledge of linear algebra is expected. |
| computer vision in warehouse management: Recent Advances in Materials and Manufacturing Technology Ramesh Kumar Nayak, Mohan Kumar Pradhan, Animesh Mandal, J. Paulo Davim, 2023-07-04 This book presents the select proceedings of the 2nd International Conference on Advances in Materials and Manufacturing Technology (ICAMMT 2022). The book covers the latest trends in existing and new materials, manufacturing processes, evaluation of materials properties for the application in automotive, aerospace, marine, locomotive, automotive and energy sectors. The topics covered include advanced metal forming, bending, welding and casting techniques, recycling and re-manufacturing of materials and components, materials processing, characterization and applications, multi-physics coupling simulation, and optimization, alternate materials /material substitution, thermally-enhanced processes, and materials, composites and polymer manufacturing, powder metallurgy and ceramic forming, numerical modeling and simulation, advanced machining processes, functionally graded materials, non-destructive examination, optimization techniques, engineering materials, heat treatment, material testing, MEMS integration, energy materials, bio-materials, metamaterials, metallography, nanomaterial, SMART materials and super alloys. In addition, it discusses industrial applications and covers theoretical and analytical methods, numerical simulations and experimental techniques in the area of advanced materials and their applications. It also covers the application of artificial intelligence in advanced materials and manufacturing technology. The book will be a valuable reference for researchers and industry professionals alike. |
| computer vision in warehouse management: Proceedings of the 9th International Conference on Engineering Management and the 2nd Forum on Modern Logistics and Supply Chain Management (ICEM-MLSCM 2024) Colin W. K. Chen, 2024 |
| computer vision in warehouse management: Modern Management Science Practices in the Age of AI Jermsittiparsert, Kittisak, Phongkraphan, Nattharawee, Lekhavichit, Nuchnapha, 2024-08-26 Management has always been a multifaceted and continuously changing aspect of the business world. Today, with the introduction of revolutionary technology, working environments, and new individual attitudes, it is essential to understand more information than ever. A comprehensive knowledge of the interworking of accounting, behavior, decision making, strategy, data, marketing, and revenue management is a must for any manager to act as efficiently and effectively as possible. Modern Management Science Practices in the Age of AI offers a thorough and interdisciplinary exploration of management, addressing key aspects such as challenge resolution, strategic planning, execution, and performance measurement. It refines and transforms organizational operations across various sectors including public, private, and civil society. Drawing on insights from global scholars, researchers, and practitioners, the volume provides a rich collection of contemporary knowledge that is invaluable for both academics and practitioners. By integrating these diverse fields, the book equips both researchers and organizational managers with the tools needed to adapt and thrive in a rapidly evolving environment. |
| computer vision in warehouse management: Work 3.0 Avik Chanda, 2023-04-24 What will the worker, workplace and work itself look like in the future? Work 3.0 tackles this and some of the other most pressing and complex questions of the present age, head-on. Avik Chanda and Siddhartha Bandyopadhyay employ rigorous research supplemented with industry reports, business case studies, expert interviews, anecdotes, their personal expertise and insights, to present a rich multi-disciplinary brew that spans economics, statistics, public policy, history, sociology, psychology, law, political science, literature and philosophy. Highly ambitious in scope, astonishingly rich in analytical detail and far-reaching in its conclusions, the book will change the way you think about the future and how the past and present still shape it. Conceived as the ultimate future of work preparation guide, this book is essential reading for our tenuous and unpredictable times. |
| computer vision in warehouse management: Supply Chain Security Andrzej Szymonik, Robert Stanisławski, 2022-08-18 Contemporary supply chains operate under the pressure of customer requirements, increasing price competition, sudden increases or decreases in demand, unforeseen obstacles and new threats. The right way to improve the functioning of the flow of material and accompanying information is not only the continuous collection of data but also their collection, analysis, inference and decision-making with the use of decision support systems, expert systems and artificial intelligence. Such procedures make it easier for logisticians not only to forecast processes but also to predict (forecast) and identify potential problems and facilitate the implementation of optimal modern solutions, paying attention to current trends in the supply chain market. An important issue that affects the quality, efficiency and availability (continuity) of the processes implemented within the supply chain is security. This is an area that is not clearly defined. This book uses theoretical and practical knowledge to define security in the supply chain as a state that gives a sense of certainty and guarantees the flow of material goods and services (in accordance with the 7w rule) as well as a smooth flow of information for the planning and management of logistics processes. Tools and instruments used to ensure the security of the supply chain contribute to the protection and survival in times of dangerous situations (threats) and adaptation to new conditions (susceptibility to unplanned situations). When analyzing the needs and structure of the 21st century supply chains, in the context of their security, it is impossible to ignore the problem of their digitization, which enables the determination of optimal routes and the anticipation of possible threats (crisis situations). Automatic data exchange between various departments of the company along the upper and lower part of the supply chain improves the functioning of the warehouse management through, among others, automation, robotization and pro-activity. It also contributes to efficient, good communication and market globalization. Automation also brings new, extremely attractive business models with regard to occupational safety, ergonomics and environmental protection. To meet the needs of creating modern supply chains, the book analyzes and presents current and future solutions that affect security and the continuity of supply chains. |
| computer vision in warehouse management: Handbook of Research on Metaheuristics for Order Picking Optimization in Warehouses to Smart Cities Ochoa Ortiz-Zezzatti, Alberto, Rivera, Gilberto, Gómez-Santillán, Claudia, SánchezLara, Benito, 2019-04-05 Building accurate algorithms for the optimization of picking orders is a difficult task, especially when one considers the delays of real-world situations. In warehouse environments, diverse algorithms must be developed to enhance the global performance relating to combining customer orders into picking orders to reduce wait times. The Handbook of Research on Metaheuristics for Order Picking Optimization in Warehouses to Smart Cities is a pivotal reference source that addresses strategies for developing able algorithms in order to build better picking orders and the impact of these strategies on the picking systems in which diverse algorithms are implemented. While highlighting topics such ABC optimization, environmental intelligence, and order batching, this publication examines common picking aspects in warehouse environments ranging from manual order picking systems to automated retrieval systems. This book is intended for researchers, teachers, engineers, managers, and practitioners seeking research on algorithms to enhance the order picking performance. |
| computer vision in warehouse management: Anticipating Future Business Trends: Navigating Artificial Intelligence Innovations Rim El Khoury, |
| computer vision in warehouse management: Deep Learning Techniques (Designing Next-Generation Machine Intelligence Algorithms) Dr. V.S. Manjula, 2023-10-13 I am Dr. V. S. Manjula has Completed B.Sc. MCA, M.Phil., B.Ed.(CS), Ph.D. and I have a total 23 years experienced in teaching & administration work and received Ph.D. degree in Computer Science from Bharathiar University in 2013. At present, I am working as a Professor, at the Department of Computer Science, School of Mathematics and Computing in Kampala International University, Kampala, Uganda, East Africa. Previously I worked as an Associate Professor at Wollo University in the Department of Computer Science under the College of Informatics, Kombolcha Institute of Technology, Kombolcha, Ethiopia, and East Africa and I worked as an Associate Professor & HOD in the Department of Computer Science and Engineering & Information Technology in St. Joseph University College of Engineering & Technology, Dar-Es-Salaam in Tanzania, East Africa. I Worked as HOD in the Master of Computer Applications (MCA) Department, at Gurushree Shantivijai Jain College, the Best College in Chennai. I am appointed foreign external examiner evaluating PHD Thesis for various Universities in India & Abroad and a member of the Research Journal of the International Association of Computer Science & Information Technology (IACSIT) & Member of IAENG (International Association of Engineers) – USA Member No: 143718. I am JASIC International Journal Managing Journal Editing Board Member at Kampala International University, Uganda, East Africa. I have published in more than 25 International Journals and National & International Conferences. |
| computer vision in warehouse management: Applications of Machine Learning in UAV Networks Hassan, Jahan, Alsamhi, Saeed, 2024-01-17 Applications of Machine Learning in UAV Networks presents a pioneering exploration into the symbiotic relationship between machine learning techniques and UAVs. In an age where UAVs are revolutionizing sectors as diverse as agriculture, environmental preservation, security, and disaster response, this meticulously crafted volume offers an analysis of the manifold ways machine learning drives advancements in UAV network efficiency and efficacy. This book navigates through an expansive array of domains, each demarcating a pivotal application of machine learning in UAV networks. From the precision realm of agriculture and its dynamic role in yield prediction to the ecological sensitivity of biodiversity monitoring and habitat restoration, the contours of each domain are vividly etched. These explorations are not limited to the terrestrial sphere; rather, they extend to the pivotal aerial missions of wildlife conservation, forest fire monitoring, and security enhancement, where UAVs adorned with machine learning algorithms wield an instrumental role. Scholars and practitioners from fields as diverse as machine learning, UAV technology, robotics, and IoT networks will find themselves immersed in a confluence of interdisciplinary expertise. The book's pages cater equally to professionals entrenched in agriculture, environmental studies, disaster management, and beyond. |
| computer vision in warehouse management: Advances in Smart Medical, IoT & Artificial Intelligence Mohammed Serrhini, |
| computer vision in warehouse management: Data Science with Semantic Technologies Archana Patel, Narayan C. Debnath, 2023-06-20 As data is an important asset for any organization, it is essential to apply semantic technologies in data science to fulfill the need of any organization. This first volume of a two-volume handbook set provides a roadmap for new trends and future developments of data science with semantic technologies. Data Science with Semantic Technologies: New Trends and Future Developments highlights how data science enables the user to create intelligence through these technologies. In addition, this book offers the answers to various questions such as: Can semantic technologies facilitate data science? Which type of data science problems can be tackled by semantic technologies? How can data scientists benefit from these technologies? What is the role of semantic technologies in data science? What is the current progress and future of data science with semantic technologies? Which types of problems require the immediate attention of the researchers? What should be the vision 2030 for data science? This volume can serve as an important guide toward applications of data science with semantic technologies for the upcoming generation and, thus, it is a unique resource for scholars, researchers, professionals, and practitioners in this field. |
| computer vision in warehouse management: Using Real-Time Data and AI for Thrust Manufacturing Satishkumar, D., Sivaraja, M., 2024-03-28 In the dynamic world of manufacturing, the industry has grappled with ongoing issues such as expensive machine maintenance, operational inefficiencies, and the production of defective products. The need for informed decision-making to maintain quality, meet deadlines, and prevent disruptions is more crucial than ever. Enter Using Real-Time Data and AI for Thrust Manufacturing, a groundbreaking book that addresses these challenges head-on. As Industry 4.0 transforms the manufacturing sector through the integration of the Internet of Things (IoT) and artificial intelligence (AI), this book serves as a beacon for academic scholars and industry professionals alike, offering profound insights into the world of AI-driven industry solutions. The objective of this book is clearto revolutionize the manufacturing sector by leveraging human expertise and AI-driven data technologies. By delving into the realms of Industry 4.0, IoT, and AI, the book systematically tackles issues such as costly downtime, inefficient processes, and the production of substandard products. With a focus on turning raw data into meaningful insights, the book explores AI applications like machine learning and deep learning, natural language processing, and machine vision. From predictive maintenance to improved demand forecasting, quality assurance, inspection, and warehouse automation, the book positions AI as the linchpin of Industry 4.0, ensuring not only cost savings but also safety improvements and supply-chain efficiencies. |
Computer - Wikipedia
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Computer | Definition, History, Operating Systems, & Facts | Brita…
A computer is a programmable device for processing, storing, and displaying information. Learn more in this article …
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Feb 6, 2025 · What is a Computer? A computer is a programmable device that stores, retrieves, and processes data. The term …
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Computer - Wikipedia
A computer is a machine that can be programmed to automatically carry out sequences of arithmetic or logical …
Computer | Definition, History, Operating Systems, & Facts
A computer is a programmable device for processing, storing, and displaying information. Learn more in this …
What is a Computer?
Feb 6, 2025 · What is a Computer? A computer is a programmable device that stores, retrieves, and processes …
Micro Center - Computer & Electronics Retailer - Shop Now
Shop Micro Center for electronics, PCs, laptops, Apple products, and much more. Enjoy in-store pickup, top …
What is a Computer? - GeeksforGeeks
Apr 7, 2025 · A computer is an electronic device that processes, stores, and executes instructions to perform …
