Video analytics is not only a matter of algorithms: it begins with cameras, lenses, recording, storage, and the design choices that determine what a system can see and process. Intelligent Video Analytics: Surveillance, Safety, and Operational Efficiency takes that wider view, tracing the subject from CCTV fundamentals to computer vision and the architecture of analytics platforms.
From CCTV foundations to intelligent systems
The book opens with the practical building blocks of surveillance, including camera types, lenses, recording devices, and storage strategies. From there, it moves into camera and sensor technologies and the principles of image processing, establishing context for the more advanced analytical material.
Explore the methods behind video analysis
Its technical scope includes computer vision and deep learning topics such as convolutional neural networks, object detection, tracking, face recognition, and video content analysis. The coverage helps place these methods within the larger system rather than treating analytics as an isolated model or software feature.
Consider the computing and deployment choices
Video systems also depend on the computing resources that support them. The book addresses GPUs, CPUs, and edge computing, then turns to the design of video-analytics platforms and applications in areas such as smart cities and law enforcement.
Security, safety, and operational use
Alongside the technical foundations, the material considers physical security and operational efficiency. Its final topics look toward generative AI, including anomaly detection and video synthesis, extending the discussion to emerging directions in the field.
Who may find it useful
This reference may suit networking and security professionals, as well as readers interested in CCTV design, surveillance systems, computer vision, or the practical architecture of video analytics. Its progression from equipment and system foundations to advanced methods offers a broad view of how the parts fit together.
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