A novel approach for attendance monitoring system with face mask detection
Shreesh Krishannarayan Tiwari, Vaishnavi Fande, Gaurav Narendra Patil, Kamlesh Kalbande, Milind Khanapurkar · AIP conference proceedings · 2022
The major challenge faced during the pandemic is safety. Hence, this paper aims to ensure safety among the people working in populated areas organisations. The paper introduces face mask detection and an automatic attendance system. This real-time system aims to keep track of the users by a novel proposed algorithm. The system's flow begins with collecting the pre-integrated and the system's newly generated data, followed by face mask recognition, face recognition, causing the datasheet and notifying the administrator. The advanced techniques used are Graphic User Interference (GUI), a deep learning technique to extract targeted class features, Open CV to execute real-time operations, speech instructions, and the MobileNetV2 approach. The experimental results with detailed discussion and elaboration has been provided in the results section.