CloudCam is a smart trainable camera. It can differentiate among normal and abnormal events using camera and grid profile. For example, Many persons entering at night in a sensitive area is an abnormal event but is not abnormal in a crowded location. CloudCam automatically takes care of these 2 different environments. It wouldn’t raise an alert in the latter case but will raise alert for the former case.
Like these many, more use cases can be handled using Abnormal events. Camera and grid profiles are synchronized every hour using highly accurate machine learning algorithms to make CloudCam adaptable of any change.