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Avoiding the cancer of False Alarms

1 min readMar 5, 2026

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The most significant challenge with any sensor based analytics system is the false alarm rate.

Does one have to sacrifice the accuracy of the system to minimize false alarms?

Every iOmniscient system is armed with an AI module called NAMS (Nuisance Alarm Minimization System). It understands what is a real alarm and differentiates it from extraneous noise.

In a recent trial, six companies were asked to deliver a particular solution. It was a complex environment but all could deliver the alarms required with a 100% accuracy. However, over the seven-day trial involving 15 cameras, the iOmniscient system generated one false alarm. The second best system generated 200 false alarms per camera day.

This is what makes iOmniscient systems stand out in the ocean of AI based analytics companies that have sprung up in recent times.

#AlarmAccuracy #NuisanceAlarmMinimization #NAMS #HighAccuracyAI #OperationalEfficiency #SecurityAnalytics #SmartSurveillance #AutonomousMonitoring #PerformanceDriven #ReliableAI #CrowdedEnvironmentAI #IntelligentDetection #AIForSecurity #MeasurableOutcomes #WildFaces

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iOmniscient
iOmniscient

Written by iOmniscient

iOmniscient is a leader in using multi-sensory, artificial Intelligence, autonomous technologies to create solutions for 30+ industries.