Computer Vision and Internet of Things

Computer Vision and Internet of Things: Technologies and Applications explores the utilization of Internet of Things (IoT) with computer vision and its underlying technologies in different applications areas. Using a series of present and future applications - including business insights, indoor-outdoor securities, smart grids, human detection and tracking, intelligent traffic monitoring, e-health departments, and medical imaging - this book focuses on providing a detailed description of the utilization of IoT with computer vision and its underlying technologies in critical application areas, such as smart grids, emergency departments, intelligent traffic cams, insurance, and the automotive industry. Key Features . Covers the challenging issues related to sensors, detection, and tracking of moving objects with solutions to handle relevant challenges . Describes the latest technological advances in IoT and computer vision with their implementations . Combines image processing and analysis into a unified framework to understand both IOT and computer vision applications . Explores mining and tracking of motion-based object data, such as trajectory prediction and prediction of a particular location of object data, and their critical applications . Provides novel solutions for medical imaging (skin lesion detection, cancer detection, enhancement techniques for MRI images, and automated disease prediction) This book is primarily aimed at graduates and researchers working in the areas of IoT, computer vision, big data, cloud computing, and remote sensing. It is also an ideal resource for IT professionals and technology developers.

Dr. Lavanya Sharma completed her M.Tech (Computer Science and Engineering) in 2013 from Manav Rachna College of Engineering, affiliated with Maharshi Dayanand University, Haryana, India. She completed her Ph.D. from Uttarakhand Technical University, India, as a full-time Ph.D. scholar in the field of digital image processing and computer vision in April 2018, and received a TEQIP scholarship for the same. Her research work is on motion-based object detection using background subtraction technique for smart video surveillance. She received several prestigious awards during her academic career. She is a recipient of several prestigious awards during her academic career and qualified certification courses from ISRO Dehradun unit, India. She has 40+ research papers to her credit, including Elsevier (SCI Indexed), Inderscience, IGI Global, IEEE Explore, and many more. She has published three books and two books with Taylor & Francis, CRC Press in 2019 and 2020. She also has two patents in her account on object detection in visual surveillance. She has also contributed as an Organizing Committee member of Springer's ICACDS conferences 2016, Springer's ICACDS 2018, Springer's ICACDS 2019, Springer's ICACDS 2020, ICRITO 2021, and Springer's ICACDS 2021. Presently, she is the editorial member/reviewer of various journals of repute and active program committee member of various IEEE and Springer conferences also. Her primary research interests are Digital Image Processing and Computer Vision, Artificial Intelligence, Machine learning, deep learning, and Internet of Things. Her vision is to promote teaching and research, providing a highly competitive and productive environment in academic and research areas with tremendous growing opportunities for the society and her country. Dr. Mukesh has done his MBBS from Manipal Academy of higher education from Kasturba Medical College, Mangalore, India in 2011 and Master of Surgery from Mallya Hospital, Vittal mallya road, Banglore, India in 2014. He is recipient of several prestigious awards and recognition in his career and presently working as a Unit Head and consultant with Alshifa Hospital, Delhi, India and is having more than 6 years of experience. He has published several articles and research papers and contributed as hospital committee member. He has also delivered expert talk in prestigious hospital and educational institute of India including breast awareness, cancer awareness drive, Covid- precautions and measures, Brand ambassador of Pro Biotic (Expert Talk on Fever 104 FM, January 2021). He is also guiding Ph.D students in the field of computer science for medical imaging domain.

Part 1 Introduction to Computer Vision and Internet of Things 1. Rise of Computer Vision and Internet of Things Lavanya Sharma 2. IoE: An Innovative Technology for Future Enhancement Sudhriti Sengupta 3. An Overview of Security Issues of Internet of Things Lavanya Sharma, Sudhriti Sengupta, and Nirvikar Lohan 4. Use of Robotics in Real-Time Applications Lavanya Sharma and Mukesh Carpenter Part 2 Tools and Technologies of IoT with Computer Vision 5. Preventing Security Breach in Social Media: Threats and Prevention Techniques Lavanya Sharma 6. Role of Image Processing in Artificial Intelligence and Internet of Things Sudhriti Sengupta 7. Computer Vision in Surgical Operating Theatre and Medical Imaging Mukesh Carpenter, Dharmendra Carpenter, Vinod Kumar Jangid, and Lavanya Sharma Part 3 IoT with Computer Vision for Real-Time Applications 8. Self-Driving Cars: Tools and Technologies Kavish Gupta, Deepa Gupta, and Lavanya Sharma 9. IoT and Remote Sensing Yaman Hooda 10. Synthetic Biology and Artificial Intelligence Vukoman Jokanovic 11. Innovation and Emerging Computer Vision and Artificial Intelligence Technologies in Coronavirus Control Mukesh Carpenter, Vinod Kumar Jangid, Dharmendra Carpenter, and Lavanya Sharma 12. State of the Art of Artificial Intelligence in Dentistry and Its Expected Future Vukoman Jokanovic, M. Zivkovic, and S. Zivkovic 13. Analysis of Machine Learning Techniques for Airfare Prediction Jaskirat Singh, Deepa Gupta, and Lavanya Sharma Part 4 Challenging Issues and Novel Solutions 14. CapsNet and KNN-Based Earthquake Prediction Using Seismic and Wind Data Sandeep Dwarkanath Pande, Soumitra Das, Pramod Jadhav, Amol D. Sawant, Shantanu S. Pathak, and Sunil L. Bangare 15. Computer-Aided Lung Cancer Detection and Classification of CT Images Using Convolutional Neural Network Nikhil J. Chaudhari, and Lavanya Sharma 16 Real-Time Implementations of Background Subtraction for IoT Applications Belmar Garcia-Garcia, Thierry Bouwmans, El-Hadi Zahzah, and Kamal Sehairi 17. The Role of Artificial Intelligence in E-Health: Concept, Possibilities, and Challenges Priyanka Gupta, Hardeo Kumar Thakur, and Alpana