This research explores distributed video analytics systems spanning cloud, edge, and terminal devices to enable efficient, real-time, and privacy-preserving analysis.

• Distributes video processing tasks adaptively across multiple computing layers
• Enables breakthroughs in video surveillance, autonomous driving, and smart cities
• Incorporates privacy-preserving analysis techniques critical for security applications
• Optimizes resource management for real-time video inference

For security professionals, this architecture provides a framework to balance performance requirements with privacy concerns while managing large-scale video surveillance systems.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems