Out of the most common uses for image processing is face identification, which is important in the technological field. Recognizing faces is a hot issue for verification, especially in student attendance competitions. A face recognition attendance system uses high-definition surveillance and other computer technologies to identify students using face biostatistics. The developing system aims to digitize the outdated method of calling names and maintaining pen-and-paper attendance records. The existing procedures for recording attendance are cumbersome and time-consuming. Manual recording allows for easy manipulation of maintenance records. Traditional attendance systems and current biometric technologies are subject to proxies. As a result, this study is proposed to address all of these issues.