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There are an increasing number of AI companies, offering filtering of false video alarms. This is not the correct starting point for effective video monitoring. First - you have to accurately detect all real intrusions. It will not help that you filter out 99,9% of false alarms, when you fail to detect one critical intrusion.
So effective (outdoor) video monitoring starts with AI algorithms that can accurately detect the most difficult intrusions - think someone crawling on their stomach at long distance, or someone darkly dressed on a dark, poorly lit and rainy scene. That is where it matters, first!
Only once AI delivers truly accurate intrusion detection, should you consider reducing false alarms, as a secondary issue. And great AI algorithms offer you both the accurate true initial detection, plus the ability to significantly reduce false alarms in a single package.
We cover various aspects of video monitoring as a service, with specific focus on outdoor video detection and monitoring, in a 10-part series. Follow us and watch out for the next post!
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