Autonomous AI Requires High Accuracy

For an Autonomous AI System to work well the detection and recognition algorithms on which it is based must operate with high accuracy. Inaccurate system that generate excessive false alarms significantly increase the effort that has to be spent in checking each one, making the system unusable. 

iOmniscient offers Trusted Autonomous AI systems that can reduce response times for incidents by 80% as well as the costs of manning such environments. 

Does your system suffer from excessive False Alarms?

All iOmniscient Systems are armed with an AI based module called NAMS (Nuisance Alarm Minimization System). In recent trials NAMS was shown to reduce the number of false alarms by a factor of 200 relative to alternative systems. This means that when alternative systems were getting over 200 false alarms per day on a video stream, NAMS was able to reduce these to no more than one.

Many suppliers offer systems that can detect various types of incidents. A good system, however, can detect incidents without excessive false alarms. 

If a system is supposed to autonomously detect a vehicle accident, find the nearest police vehicle and tell the police personnel where to go and what to do, it would be grossly ineffective if it generated a host of false detections sending police vehicles off on spurious missions.

The NAMS capability is key to ensuring that iOmniscient's Autonomous Response Systems can be TRUSTED.