Cameras are widely deployed for security systems, monitoring the flow of people and vehicles, and to keep a record of activities. Sometimes, cameras are worn by users, collecting a wealth of actionable intelligence.
The problem is that there is so much information being captured by these cameras, that it is nearly impossible for a person to give the right level of attention to each feed. Distractions and fatigue quickly set in for those monitoring images. It becomes more and more difficult to identify potential problems or unusual situations, or spot object of interest in camera feeds while users perform a task.
Neurala’s Brains4Bots™ software can be trained to recognize find and objects and people. By highlighting areas of interest, it makes it easier for personnel to focus on the things that are important.
For real-time situations, The Neurala Brain can be set to monitor activities as they happen. A system can be set to alert security personnel and to display the area requiring attention. With object recognition, it can be set to display the name of the object it recognizes. For example, a system trained to classify cars or to detect certain types of threats, such as guns or suspicious activity.
To review hours of recordings, The Neurala Brain can process video and enable personnel to sift through large amounts of video to identify the frames that require attention and review. Neurala software can be used to fast-forward to key areas of interest for further inspection. The reviewer only needs to focus on the areas of interest, instead of the entire video, which may reduce review time and fatigue.