Intelligent Surveillance System Using Deep Learning

With the recent developments in the object detection and face recognition areas, the creation of practical video surveillance systems with built-in object detection and face recognition functions that are accurate and fast enough for business use is now feasible. In surveillance apps, it is important to recognize unusual behavior. To capture anomalous behaviors, automated video recording must be used. This work discussed and implemented clever video security system that employs deep learning techniques to identify anomalies in videos. The system will then capture these video frames as an image for the user to review after real-time motion recognition is also an option.