Download PDFOpen PDF in browserMonitoring Employees Entering and Leaving the Office with Deep Learning AlgorithmsEasyChair Preprint 688019 pages•Date: October 19, 2021AbstractThis 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 preprocessing 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. Keyphrases: Cameras, Convolutional Neural Nets, Databases, Django, FaceNet, MySQL, Python, Raspberry Pi, Support Vector Machine, detectors, face, face detection, face recognition, feature extraction, learning (artificial intelligence), real-time systems, training
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