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