Research and Implementation of Face Recognition in Remote Intelligent Monitoring System

This paper studies the application and realization of face recognition in remote intelligent monitoring system. First, it introduces the development and importance of remote intelligent monitoring system, and then understands the steps and principles of face recognition. Subsequently, an embedded intelligent video surveillance system architecture is proposed, which combines face detection, face recognition, feature matching and other technologies to complete the recognition of the target face in the surveillance system. Finally, the Adaboost face detection algorithm is introduced, which greatly reduces the detection time and the amount of data that needs to be calculated. The feasibility of the algorithm is verified through experimental simulations.