AI video analytics vendors push surveillance beyond motion alerts

AI video analytics marks a shift from rule-based surveillance toward systems that use machine learning to interpret context across video feeds. Standard analytics can detect pixel changes and trigger alerts for motion or no-go zones, while AI-based tools are described as better suited to varied lighting, occlusion, crowded scenes, multiple streams, and event-heavy environments.

The vendor landscape includes Coram, Digital Watchdog, Eagle Eye Networks, Gorilla Technology, Milestone VMS, Irisity AB, Genetec Inc., Rhombus, Videoloft, Intellivision, and Verkada. Capabilities highlighted across these platforms include facial recognition, license plate detection, weapon detection, crowd counting, audio analytics, fall detection, smart search, evidence management, remote access, cloud video management, access control, and emergency response workflows.

Coram is positioned around open integration with any IP camera, setup in 10 minutes, support for 100+ cameras, and live streams that load in under a second compared with an industry average of 5-6 seconds. Other vendors emphasize strengths such as Eagle Eye Networks’ bandwidth optimization, Gorilla Technology’s urban infrastructure focus, Milestone’s integration with more than 14,000 devices and 1000 third-party applications, Irisity’s anomaly detection, Rhombus’ quick deployment, Videoloft’s cloud adaptor, Intellivision’s OEM analytics, and Verkada’s centralized Command platform.