Face Recognition for Criminal Detection System

Face recognition is an advanced technology that enables computers to identify individuals by analyzing unique facial features. In the context of law enforcement and public safety, face recognition systems play a vital role in identifying suspects, tracking criminals, and preventing unlawful activities. These systems capture images or video frames containing human faces and match them against a database of known criminals to detect potential threats. The accuracy and efficiency of such systems make them invaluable tools in enhancing security and reducing manual workload. This system utilizes a real-time video feed or uploaded images to scan faces and compare them with a centralized database of previously registered criminals. If a match is found, it retrieves the individual's details and alerts the user accordingly This technology can be deployed at various high- security and public locations such as public events and places. By doing so, authorities can monitor crowds and proactively identify individuals with criminal records. In the long run, this system acts as a preventive tool, deterring criminal activity through early detection and intervention. Furthermore, it can be integrated with law enforcement databases and alert systems to trigger immediate responses from security personnel when a threat is identified. Keywords—Criminal detection system, Face Recognition, Deep Learning, Automated detection, DeepFace.