International Journal of Science, Engineering and TechnologyDetect Missing Person Using Face Recognition Technique with AI
Authors- Dr. N. Magendiran, A. Jeevitha, R. Snega, S. Sneha, S. Priyanka
– The large number of missing persons pose a great problem to law enforcers as well as to their families. Conventional tracing and identification protocols are usually tiresome and cumbersome. The following paper discusses the use of face recognition technology in the form of artificial intelligence (AI) when it comes to finding and tracking missing persons. With the help of deep learning algorithms and large databases of images, this system can automatically compare facial patterns in security footage, social media updates, and police records to identify individuals. The system imagined consolidates the usage of convolutional neural networks (CNNs) and machine learning algorithms towards augmenting accuracy levels while minimizing false positives. Additional capabilities include support for real-time processing to advance identification speed so that response time for priority applications is minimized. Scalability along with cross-platform compatibility is ensured through the establishment of cloud-based and edge-computing architectures. This computer-vision-based process is faster and more efficient compared to the usual procedure, further raising the potential for the return of lost individuals to their loved ones. It further encompasses humanitarian usage of facial recognition, concerns, and possibilities in AI future uses.
