Smart camera platform model detects people with facial recognition technology in security work in educational institutions

Abstract

This research aims to design, develop, and evaluate the efficiency of an intelligent camera platform for security work in educational institutions using face recognition technology. The research tools include an AI-powered smart camera integrated with i-PRO Configuration Tool and VI Monitor. The prototype was tested with a sample group of 50 individuals to evaluate face recognition accuracy and real-world performance. The system achieved 91.4% accuracy in face recognition, detected unknown individuals within 2–3 seconds, and summarized personnel counts with a deviation under 5%. The user satisfaction level was high (mean = 4.41 out of 5). This research demonstrates the application of AI-based facial recognition technology to enhance campus security significantly.