Application of Image Recognition Technology in Education and Office Automation

With the rapid development of information technology, image recognition technology is increasingly being applied in the fields of education and office automation. This paper proposes an image recognition system based on the ESP32-CAM hardware platform and the Python programming language, aimed at enhancing the intelligent management of educational resources and the efficiency of office automation. The system utilizes the ESP32-CAM module to capture photos and wirelessly transmit them to a computer for subsequent processing, focusing on facial recognition and text recognition functions. The system demonstrates high accuracy and real-time performance while maintaining cost-effectiveness, bringing significant convenience and efficiency improvements to the fields of education and office automation.