Automated Video Threat Detection

Automated Video Threat Detection refers to systems that continuously analyze live or recorded video feeds from CCTV and other surveillance cameras to identify potential criminal, violent, or otherwise unsafe activities in real time. Instead of relying solely on human operators to watch thousands of camera streams, these systems automatically flag suspicious behaviors, objects, or situations—such as fights, weapons, intrusions into restricted areas, or abandoned bags—and generate alerts for security personnel. In the public sector, this application is used to enhance safety and security in public spaces, transportation hubs, government buildings, and critical infrastructure. By reducing the dependence on manual monitoring, it improves response times, expands effective coverage across large camera networks, and lowers the risk of missed incidents. AI models are trained on patterns of normal and abnormal behavior, enabling proactive intervention and more efficient use of limited security and law-enforcement resources.