in embedded environment, we design and implement a fast face recognition method based
on deep learning. Firstly, face detection and quality selection are performed based on
MTCNN algorithm to reduce the amount of feature extraction data needed for recognition.
Secondly, the RKNN model is used to quantify the acceleration of feature extraction. Finally,
fast face recognition is realized by feature matching. The experiment shows that the method …