We continuously train the computer vision model to get smarter. Our AI errs on the side of generating alerts when in doubt, rather than not.
As such, we do alert you when we think there is a person in the field of view, and our analysis shows an accuracy of more than 90% for the first time and improves as we learn more about the environment. Regarding false negatives, i.e. humans were in the scene but not detected, our testing shows a 95%+ accuracy rate, i.e. we almost always detect humans when they are visible somewhere in the camera. This includes images with partial views of a human, body parts as well as images where the person is not even facing the camera, e.g. walking away as shown in other sample videos on the website.
As we move into processing video streams instead of single frames, the probability of missing people further reduces.

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