This study attempts to create a system to monitor employees entering and leaving the office using face recognition. In addition, the system also signals by LED when recognizing a staff who has clearance to enter or notifies those who do not in the area. Events of entering and leaving from staff are written into a log file for management purposes. The face-detection and image processing utilize Multi-task Cascaded Convolutional Network. Feature data is then extracted from the processed images by FaceNet, which is classified by the Support Vector Machine algorithm into a model. Information of employees and logs are saved in MySQL database, which is also used in a web application using Python and Django web framework.