This study proposes the implementation of an attendance system using face recognition and detection technology. The system aims to provide a convenient and accurate method for recording attendance in various settings, such as classrooms or workplaces. By leveraging facial recognition algorithms, the system can identify individuals and automatically mark their attendance, reducing the need for manual record-keeping and minimizing errors. The integration of detection technology ensures reliability by distinguishing between live faces and photographs, enhancing the security and integrity of the attendance tracking process." Keywords—Face recognition, Attendance, Detection-based, Automating attendance, Real-time monitoring, Convolutional Neural Network (CNN)