Face recognition robot system based on intelligent machine vision image recognition

Face detection and key part extraction are the prerequisites for face recognition, and the goal is to obtain the current data set or image set face attribute features. This paper combines intelligent machine vision technology to construct a face recognition robot system. In order to solve the influence of noise environment and low resolution on AU recognition, this paper adopts a facial feature extraction method based on AU area. Moreover, in order to reduce the influence of noise factors on feature extraction, this paper preprocesses the image and combines image denoising and edge extraction methods to eliminate background. In addition, this paper constructs an intelligent image recognition algorithm based on the requirements of facial feature recognition, and uses this algorithm as the core algorithm of the robot. Finally, this paper designs experiments to verify the system. The experimental research results show that the face recognition robot system based on intelligent machine vision image recognition constructed in this paper has a good recognition effect.