AI-Based Surveillance uses artificial intelligence to analyze video, images, audio, or sensor data to identify people, objects, behaviors, and events. Unlike conventional surveillance systems that primarily record footage, AI-enabled systems can interpret what they observe, detect unusual activity, track movement, and generate alerts when specific conditions occur.
The technology is used in environments where continuous monitoring is difficult to perform manually, including transportation facilities, industrial sites, retail locations, campuses, and critical infrastructure. Computer vision, object detection, facial recognition, behavior analysis, and edge AI can be combined to support real-time monitoring and automated incident detection.
