Noonlight, an innovator in intelligent emergency response and professional monitoring solutions, announces two new features for its Verify API which powers its video monitoring solution, designed to help video security providers deliver smarter, more proactive protection to end users.

Two new capabilities to Noonlight’s Verify API cut video noise, reduce false dispatches, and accelerate issue resolution, without missing real emergencies. www.noonlight.com

Verify adds a human verification layer to video-triggered events, enabling trained Noonlight agents to review incidents before emergency response is dispatched. By pairing advanced analytics with professional monitoring, Verify reduces non-actionable video noise and helps agents resolve real threats faster — without increasing operational burden or false dispatches.

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The new Verify features include AI Person Filtering, which automatically screens incoming video and dismisses clips with no person detected, eliminating the cost and time of reviewing empty motion alerts. 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. The result: fewer disruptions for end users, fewer unnecessary police dispatches, faster alarm resolution.

“The burden of responding to an emergency should never fall on the end user, and unnecessary disruptions should never affect the people our partners are trying to protect,” said John Tassone, President of Noonlight. “What we’ve built is a smarter way to deliver the right context to agents at exactly the right moment — so they can filter out the noise, act decisively on real situations, and prevent emergencies from escalating wherever possible. That’s what automatic safety looks like in practice.”

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AI Person Filtering

Noonlight uses a proprietary AI model to scan incoming video clips and automatically dismiss events with no person, ensuring that non-actionable footage is never sent to monitoring agents. By scanning all video at hundreds of frames per clip, Noonlight’s AI model detects even brief human appearances, delivering 99% recall and 97% precision — meaning it almost never misses a person and is almost always correct.

For partners already using AI-based filtering, Noonlight’s model delivers incremental noise reduction, while supporting vendor consolidation.

Advanced Verification

Events that require video verification often do not require emergency dispatch. Advanced Verification enhances Noonlight’s workflow by providing agents additional context, including extended footage up to 90 seconds before the event and live camera look-ins enabling them to more quickly identify potential threats.

When appropriate, agents can initiate active deterrence through talkdown via the camera — de-escalating situations before alarms are triggered and emergency response is dispatched.

This deeper context results in faster intervention and a better experience without compromising safety. Early data indicates advanced verification with talkdown reduces total false alarms by 45%. In 37% of cases, the person left on their own and in 8%, agents determined the person was an authorized employee — preventing unnecessary alarms while ensuring real threats are not missed.