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.
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This book focuses on providing a detailed description of the utilization of IoT with computer vision and its underlying technologies. It covers important topics like tools and technologies of IoT with computer vision, real-time applications along with challenges and solutions in IoT environment.
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Part 1 Introduction to Computer Vision and Internet of Things1. Rise of Computer Vision and Internet of ThingsLavanya Sharma2. IoE: An Innovative Technology for Future EnhancementSudhriti Sengupta3. An Overview of Security Issues of Internet of ThingsLavanya Sharma, Sudhriti Sengupta, and Nirvikar Lohan4. Use of Robotics in Real-Time ApplicationsLavanya Sharma and Mukesh CarpenterPart 2 Tools and Technologies of IoT with Computer Vision5. Preventing Security Breach in Social Media: Threats and Prevention TechniquesLavanya Sharma6. Role of Image Processing in Artificial Intelligence and Internet of ThingsSudhriti Sengupta7. Computer Vision in Surgical Operating Theatre and Medical ImagingMukesh Carpenter, Dharmendra Carpenter, Vinod Kumar Jangid, and Lavanya SharmaPart 3 IoT with Computer Vision for Real-Time Applications8. Self-Driving Cars: Tools and TechnologiesKavish Gupta, Deepa Gupta, and Lavanya Sharma9. IoT and Remote SensingYaman Hooda10. Synthetic Biology and Artificial IntelligenceVukoman Jokanović11. Innovation and Emerging Computer Vision and Artificial Intelligence Technologies in Coronavirus ControlMukesh Carpenter, Vinod Kumar Jangid, Dharmendra Carpenter, and Lavanya Sharma12. State of the Art of Artificial Intelligence in Dentistry and Its Expected FutureVukoman Jokanović, M. Živković, and S. Živković13. Analysis of Machine Learning Techniques for Airfare PredictionJaskirat Singh, Deepa Gupta, and Lavanya SharmaPart 4 Challenging Issues and Novel Solutions14. CapsNet and KNN-Based Earthquake Prediction Using Seismic and Wind DataSandeep Dwarkanath Pande, Soumitra Das, Pramod Jadhav, Amol D. Sawant, Shantanu S. Pathak, and Sunil L. Bangare15. Computer-Aided Lung Cancer Detection and Classification of CT Images Using Convolutional Neural NetworkNikhil J. Chaudhari, and Lavanya Sharma16 Real-Time Implementations of Background Subtraction for IoT ApplicationsBelmar Garcia-Garcia, Thierry Bouwmans, El-Hadi Zahzah, and Kamal Sehairi17. The Role of Artificial Intelligence in E-Health: Concept, Possibilities, and ChallengesPriyanka Gupta, Hardeo Kumar Thakur, and Alpana
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Produktdetaljer

ISBN
9781032154404
Publisert
2024-10-04
Utgiver
Vendor
Chapman & Hall/CRC
Vekt
589 gr
Høyde
254 mm
Bredde
178 mm
Aldersnivå
U, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
308

Om bidragsyterne

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.