Facial Recognition for Criminal Identification

Criminal identification has undergone a revolution as a result of the development of digital technologies. In this research, we suggest a method for criminal identification using facial recognition. By comparing the retrieved data with photographs and videos of the suspects obtained from numerous sources, facial recognition technology plays a significant part in this research. Facial recognition algorithms can precisely compare facial features and patterns to find probable matches by using sophisticated machine learning techniques. This helps in criminal investigations by allowing law enforcement authorities to quickly identify. We developed a prototype system that integrates face recognition to create a more efficient and accurate criminal identification system. Our testing demonstrated that the system is capable of accurately identifying criminals with a high degree of reliability. We believe that this system can used by the law enforcement agencies to maintain public safety.