摘要
Abstract
This paper introduces a facial recognition attendance system integrated with ESP32-CAM and OpenCV,aimed at optimizing classroom and teaching management processes.The system captures facial images using a high-resolution camera and performs facial detection and feature extraction through OpenCV,ultimately confirming identities with Convolutional Neural Networks(CNN).It not only rapidly and accurately recognizes and matches faces,but also has data summarization and analysis capabilities,significantly enhancing the precision and convenience of attendance work.The system also has good adaptability,suitable for identity verification in various settings.Actual test results demonstrate that the system can maintain a high recognition accuracy even in complex environments such as when wearing masks,meeting the expectations of practical applications.关键词
ESP32-CAM/OpenCV/人脸识别/考勤系统Key words
ESP32-CAM/OpenCV/face recognition/attendance system分类
信息技术与安全科学
