This study explores the implementation of a facial recognition-based access control system for the Al-Iman Workshop to enhance security and efficiency in managing access. The use of biometric systems, particularly facial recognition, has become a popular solution for secure access in various sectors. This paper assesses the design and effectiveness of integrating facial recognition technology in an industrial workshop setting, addressing concerns such as accuracy, security, and user privacy. Data was collected from the system’s performance, including its ability to identify workers, control access, and reduce human error. Results indicate that the facial recognition system significantly improved security and streamlined the access process, with a marked decrease in unauthorized entries. The paper concludes with recommendations for further improvements and the potential broader application of biometric access control systems in similar settings.

Facial recognition, access control, security, operational efficiency, biometrics, authentication, surveillance

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