An embedded face recognition system based on an ARM microprocessor and deep learning

Abstract

The invention relates to an embedded face recognition system based on an ARM microprocessor and deep learning, and the system comprises an upper computer which is used for transplanting a driving program and a pre-trained face recognition program to a control panel; the control panel used for running a face recognition program and displaying a recognition result on the display. The face recognition program comprises the following steps: pre-training a network model for establishing a face recognition neural network of a Facenet and training the face recognition neural network; acquiring face image: starting an image acquisition device through the control panel to acquire a face photo; preprocessing the face photo, and performing scale change on the shot face photo to form a picture pyramid; detecting human face: sending the preprocessed human face picture into a pre-trained deep CNN human face detection neural network to obtain a picture of a human face part; and matching face: sendingthe obtained picture of the face part into a pre-trained Facenet face recognition neural network to obtain a matching result.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to an embedded face recognition system based on an ARM microprocessor and deep learning. Background technique [0002] Since ancient times, identity authentication has been an important link in all aspects of human life. From the tiger talisman used by ancient emperors to dispatch troops, to today's daily commuting punch card system, access control system, etc., the technology of identity authentication has undergone earth-shaking changes. Today in the 21st century, with the development of information science and technology, the face is gradually used in the identity authentication system because of its universality, uniqueness, and easy collection. At the same time, more and more scholars and scientific research units have joined the research of face recognition, which shows that the academic value, economic value and social value of face recognition are huge. Face recog...

AI Technical Summary

Problems solved by technology

[0004] The traditional face recognition system is carried out by comparing the feature points of the face or reducing the dimension. This method ignores the texture information and local information of the face, and has the problem of low recognition accuracy.

At the same time, the traditional face recognition system is mainly completed with the main modules such as cameras and PCs, which makes the implementation cost of the system higher, bulky and not conducive to installation and maintenance.

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