Computer Vision and Internet of Everything (Ioe)for Societal Needs

The Internet of Everything (IoE) has been enabled by various technologies and applications. IoE consists of sensors and actuators, software features that enable processing ability and interoperability across devices and protocols. IoE has started revolutionizing many industries and sectors, resulting in better overall efficiency and cost savings, such as better information and resource sharing, and better supply chain efficiency. Computer vision trains computers to capture and interpret information from image and video data. Thus, IoE and computer vision have novel applications in upgrading the services in healthcare, disaster prediction and monitoring, smart agriculture solutions, water sustainability, environment sustainability climate change, and many more. Computer Vision and Internet of Everything (IoE) for Societal Needs explores the utilization of the Internet of Everything (IoE) with computer vision. It examines its underlying technologies in different application areas crucial to sustainable development and societal needs. Covering topics such as assistive technology, geriatric support, and social engineering, this book is an excellent resource for computer engineers, business professionals, researchers, scholars, academicians, and more.

Rajiv Pandey Senior Member IEEE for the last 17 years is a faculty at Amity Institute of Information Technology, Amity University, Uttar Pradesh, Lucknow Campus India. He has Edited Volumes on "Semantic IoT", Blockchain, Quantum Systems, and AI/ML for EDGE computing, published by Springer, Taylor and Francis, and Elsevier. He has a diverse background experience of around 40 years, including 15 years of Industry and 25 years of academics. His research interests include contemporary technologies, such as Blockchain, cryptocurrencies, and Info. Security, Semantic Web Provenance, Cloud, Big Data, and Data Analytics. He has published more than 60 research papers in Scopus, and other science-indexed journals of repute. He has been Session chair and technical committee member for various IEEE and Elsevier conferences. He has been on technical committees of various government and private universities. He is an active contributor to professional bodies like IEEE, IET, and the Lucknow Management Association.

Pratibha Maurya is currently an assistant professor at Amity Institute of Information Technology, Amity University, Uttar Pradesh, Lucknow Campus, India. She has more than 16 years of experience in academia. Her research interests include machine learning, data analytics, natural language processing, and information retrieval. She has published numerous journal and conference papers in these areas. She has been session chairs and technical committee members for various international conferences and editorial members for various journals.