Computer Vision and Convolutional Neural Networks (CNNs) for Advanced Face Detection and Recognition

Modern security and law enforcement involve face detection and recognition technologies, which are crucial instruments in criminal identification. It is a comprehensive system integrating advanced face detection algorithms and robust recognition techniques with a view of providing accurate and efficient identification of an individual relating to a criminal activity. It uses the latest CNNs technology for automatic extraction of facial features, matching, and classification, with an advanced algorithm for the matching that compares all identified faces to a database of criminal individuals. Its large processing databases improve the identification speed rate with fewer false positives or negatives. Other issues the paper deals with are lighting conditions, facial expression, etc.