Implementation of Face Recognition in People Monitoring Access In-and-Out of Crystal Dormitory Universitas Klabat

Crystal Dormitory is a dormitory in Universitas Klabat that accommodates some male students. This study aims for monitoring and minimize the entry of foreigners into which affects comfort safety boarding Using prototyping model, systems can observe faces students who live dormitory, as well enter dormitory. The system performed face recognition to recognize person’s when data has been stored dataset. hardware this used Raspberry Pi 3 integrated with webcam monitor detect human facial images. With machine learning libraries namely TensorFlow, OpenCV, Dlib, Haar Cascade, combine Python programming, If detects an unfamiliar face, then image person's will be sent via Telegram application using auto-send feature notify about unidentified person.