Noonlight announced two new features for its Verify API, which powers its video monitoring solution, designed to help commercial and residential video security providers deliver smarter, more proactive protection to their end users.

Verify adds a human verification layer to video-triggered events, enabling trained Noonlight agents to review incidents before emergency response is dispatched.

The new Verify features include AI person filtering, which automatically screens incoming video events and dismisses clips with no person detected. When an event is escalated to a live monitoring agent, advanced verification provides deeper context through extended footage and live camera access, along with the ability to deter a situation in real time before an alarm is ever created.

Noonlight uses a proprietary AI model to scan all incoming video clips and automatically dismiss any event where no person is detected. By scanning all the video, and processing hundreds of frames per clip, Noonlight’s AI model is designed to detect even brief human appearances.

Events that require video verification often do not require emergency dispatch. Advanced Verification enhances Noonlight’s existing verification workflow by enabling agents to access additional context, including extended footage captured up to 90 seconds before the event and a live camera look-in.

When appropriate, agents can also initiate active deterrence through talkdown directly via the camera.