A Face Recognition Security Alarm Method Based on Embedded Artificial Intelligence Chip

In the aspect of intelligence, we try to use computer vision technology to analyze the face recognition information collected by the camera, so as to achieve the functions of early warning, prevention and active monitoring, so as to achieve the goal of completing the monitoring task instead of people. Therefore, this paper has carried out further research on this, and the experimental test results show that the recognition rate of this algorithm in ORL face database can be as high as 94.7%, and the recognition rate in Yale face database can also be as high as 85.3%. It is better than the other two algorithms. It can be seen that the recognition rate of the algorithm in this paper is the highest in the test results of two face databases. It can be seen that the embedded face recognition system has a certain robustness to the light changes in real life while accurately recognizing the face image. The face recognition stage based on embedded AI(Artificial Intelligence) chip extracts the features of the face image to be recognized, and compares them with the features of the trained samples stored on the disk, ensuring the user’s autonomy in use. At the same time, the embedded AI chip can realize timely awareness and judgment of the recognition results, increasing the security privacy and reliability.