Abstract

<p>Effective attendance monitoring is essential for the smooth running of any organization. Manual methods of <br>attendance monitoring are time-consuming and prone to errors, leading to poor staff attendance and adverse <br>impacts on the organization. Automated methods have been introduced, ranging from paper-based systems to <br>biometric identification using fingerprints, face, and voice. This paper proposes an electronic gate system that can <br>control access and monitor staff attendance using facial recognition technology to address the issues of other <br>identification methods. The system identifies staff members by recognizing their faces from a camera mounted at an <br>access point and interfaces with a database containing their details and images. An automated penalization system <br>was introduced to encourage punctuality, and weight verification was employed to reduce tailgating. The system also <br>has a provision for registering visitors on-site, using a database independent of the main staff database. The proposed <br>system employs less intrusive and more convenient identification methods, enhancing privacy concerns, and <br>contributes significantly to access control functions. The system can efficiently monitor attendance, leading to <br>improved staff attendance and productivity</p>