Intelligent Video Analytics: Surveillance, Safety, and Operational Efficiency

Intelligent Video Analytics is a guide to mastering modern surveillance technology. This reference covers everything from the basics of CCTV systems to the latest advances in video analytics, making it an essential resource for networking and security professionals.

Part I, Foundations of CCTV Technology, explains the fundamentals of CCTV cameras, lenses, recording devices, monitors, and network design and security. Part II, Camera and Sensor Technologies discusses various camera types, image sensors, and image processing principles and optics. Part III, Advanced Concepts in Computer Vision and Deep Learning, covers CNNs, object detection, tracking, face recognition, and video content analysis. Part IV, Computing Technologies for Video Analytics, studies the essentials of GPUs, CPUs, and edge computing. Part V, Enhancing Security, Safety, and Operational Efficiency,＂ examines the principles of physical security, and operational efficiency. In Part VI, Designing Video Analytics Platforms, covers designing robust video analytics systems with applications for smart cities and law enforcement. Part VII, The Future of Video Analytics with Generative AI,＂ considers the role of generative AI in anomaly detection and video synthesis.

Dr. Adhiguna Mahendra currently serves as Director of AI and Data at Nusantara Capital City Authority, spearheading the development of AI and Smart Systems for the capital city. Previously, he was with Nodeflux as Chief of AI, developing a complex Video Analytics deep learning platform and its operationalization (MLOps). He obtained his M.S. degree in Computer Vision and Robotics from the University of Heriot-Watt, U.K. 2008 and his Ph.D. in Machine Learning and Computer Vision from the Universite de Dijon, France, in 2012. He serves as a lecturer at Swiss German University and Central Queensland University. Adhiguna is also the founder of SmartX Academy, a leading Smart Systems school in Indonesia teaching IoT and Video Analytics as well as the founder of the AI Business Institute, an online platform offering courses in Deep Learning and AI Product Management. He is the author of many journal articles with publications with publications in platforms such as AVSS, SPIE, ICME, ICODSE, and IEEE.

Dr. Sisdarmanto Adinandra is currently a Professor of Electrical Engineering at Universitas Islam, Indonesia where he does research in the areas of control systems and robotics, and signal processing and instrumentation. He obtained his Ph.D. from the Technical University of Eindhoven. Given his years of experience in the area of video analytics and systems, he is uniquely qualified as a co-author for the proposed book.

Dr. Hasbi Nur Prasetyo Wisudawan, is currently a Professor of Electrical Engineering at the Indonesian Islamic University. His research interests focus on applying plies his knowledge of signal processing and control systems to solve real-world problems. His work includes flood warning systems based on IoT technologies, voice recognition, and automatic handwashing stations, all designed to improve public safety and health. He also uses online project-based learning to teach disaster mitigation technology.