Autonomous Safety
For
Our Cities
Our Businesses
Our Schools
Everyone.
Hardware Agnostic -
Multi-Modal Threat Detection
Iterative Contextual Refinement
Single-Pass Analysis
Gunshot Detected - 87% confidence
Car backfire ends up being misidentified as gunfire.
Anomos Model Analysis
Possible Gunshot Detected
Actual weapons are not spotted, and no one is screaming which typically accompanies a gunshot. I see vehicles and no other anomalies. No alert to send.
Industry Leading false positive reduction -
Respond to Chaos with Confidence and Context -
Impact the DNA -
That keeps you safe -Grade classifications to improve the model over time.
Model Alert
Possible gunfire detected. Confidence: 85%
Human Feedback
Confirmed. This was gunfire from a small caliber weapon.
Initial Prediction
85%
Gunfire Detection Confidence
→
Model Impact
+0.2%
improvement
Overall Model Improvement
Human feedback reinforces our already leading accuracy metrics with real world data
Enhance your pre-existing infrastructure with simple integration -
Add API To Your Dashboard -
Add RSTP/IP URLs -
Done.
Demo Anomos
donovan@mayrealities.com