Research on Control of Computer Room Personnel Based on OpenCV

As one of the commonly used techniques of identity authentication, face recognition has great application value in computer room monitoring. Taking Raspberry Pi as the system carrier, the project adopts OpenCV image recognition library Haar feature and Face Recognition Library for the detection and recognition of the personnel entering the computer room, classifies the detection results, and optimizes the results by using the error optimization algorithm. As indicated by the final results, the OpenCV-based computer room personnel control system has an accuracy rate of 99.09%, which can be applied in actual computer room inspection system.