Two new capabilities cut video noise, reduce false dispatches, and accelerate issue resolution, without missing real emergencies.
Noonlight has introduced two new capabilities designed to improve the accuracy and efficiency of video monitoring systems. The updates to the company’s Verify API include AI Person Filtering and Advanced Verification, both aimed at reducing false alerts and enabling faster responses to genuine security events.
The enhancements are designed for commercial and residential video security providers seeking to reduce unnecessary alerts while maintaining strong protection for end users.
Smarter Video Monitoring With Human Verification
Noonlight’s Verify platform introduces a human verification layer to video-triggered alerts. When a video event is triggered, trained monitoring agents review the incident before emergency services are dispatched.
By combining artificial intelligence with professional monitoring, the system filters out non-actionable events and ensures agents can focus on real threats. This approach helps minimize operational workload while improving response times and reducing false dispatches.
John Tassone, President of Noonlight, emphasized the company’s goal of delivering more intelligent monitoring.
“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. 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 and act decisively on real situations.”
AI Person Filtering Reduces Video Noise
The new AI Person Filtering capability uses a proprietary AI model to scan incoming video clips and automatically dismiss events where no person is detected.
By analyzing hundreds of frames in each clip, the system can identify even brief human appearances with high accuracy. According to the company, the model delivers approximately 99% recall and 97% precision, ensuring that people are rarely missed while minimizing false detections.
This filtering significantly reduces the time monitoring agents spend reviewing empty motion alerts caused by environmental factors such as lighting changes, shadows, or moving objects.
For security providers already using AI filtering, the solution offers additional noise reduction, particularly in outdoor environments, while simplifying vendor integrations.
Advanced Verification Provides Deeper Context
The Advanced Verification feature expands the monitoring workflow by giving agents more context before deciding whether to escalate an event.
Monitoring agents can access:
- Extended footage captured up to 90 seconds before the triggered event
- Live camera access to assess the situation in real time
- The ability to initiate talkdown communication through the camera
This capability allows agents to intervene earlier, potentially deterring suspicious activity before an alarm is triggered.
Early data from the system indicates that Advanced Verification with talkdown can reduce false alarms by 45%. In many cases, individuals leave the scene voluntarily once they realize they are being monitored, while other alerts are confirmed to involve authorized personnel.
Improving Efficiency Without Missing Emergencies
By combining AI filtering, human verification, and live monitoring tools, the new Verify features aim to reduce unnecessary disruptions while ensuring genuine emergencies receive immediate attention.
The enhancements help security providers deliver faster incident resolution and a more reliable monitoring experience for end users.
Noonlight is a connected safety platform that combines advanced technology with professional monitoring to deliver video verification, false alarm filtering, and emergency response services through an API-driven safety platform.
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Frequently Asked Questions (FAQs)
1. What is Noonlight’s Verify API?
Verify is a video monitoring solution from Noonlight that combines AI analytics with professional monitoring agents to review video-triggered events before dispatching emergency services.
2. What does AI Person Filtering do?
AI Person Filtering automatically scans incoming video clips and dismisses alerts where no person is detected, reducing false alarms and unnecessary monitoring workload.
3. What is Advanced Verification?
Advanced Verification allows monitoring agents to access extended video footage, view live camera feeds, and initiate talkdown communication to deter suspicious activity before escalating an incident.
4. How does this reduce false alarms?
By filtering non-actionable alerts and giving agents more context before dispatch decisions, the system can significantly reduce false alarms and unnecessary police responses.
5. Who can use Noonlight’s video monitoring solution?
The solution is designed for commercial and residential video security providers that want to deliver smarter monitoring services to their customers.
Source: noonlight.com