Realtime Face Detection in Online Exam using Mobile Phone

Currently, almost all human activities have been implemented with applications, one of which is the implementation of examinations, after the covid-19 pandemic, online examinations have begun to be widely used by many educational institutions, online examinations generally use computers that require a lot of devices and rooms for infrastructure. This research aims to create an online exam system that is simple and easy to do by utilising mobile devices. This system utilises the face recognition feature for security and minimises the occurrence of cheating with the method used is FaceNet. The system architecture is built with 3 different systems, namely, the training system and face detection uploaded to the server with the availability of API, the admin system made with Website-based, and the online exam system with mobile-based. The results of face detection carried out have been successful with an average percentage of 84.65%, face detection is carried out when going to do the exam and every 1 minute during the exam.