AI-enabled Face Live Tracking Attendance System

computer engineering

Face recognition is among the most productive image-processing applications and has a pivotal role in the technical field. We are living in a world where everything is automated and linked online. The internet of things, image processing, and machine learning are evolving day by day. Many systems have been completely changed due to this evolution to achieve more accurate results. The development of this system is aimed to accomplish digitization of the traditional system of taking attendance by calling names and maintaining pen-paper records. This paper proposes a method of developing a comprehensive embedded attendance system using facial recognition. The system is based on Raspberry Pi that runs Raspbian (Linux) Operating System installed on a micro-SD card. The Raspberry Pi Camera, as well as a 4-inch screen, are connected to the Raspberry Pi. By facing the camera, the camera will capture the image and then pass it to the Raspberry Pi which is programmed to handle face recognition by implementing the Local Binary Patterns (LBP) algorithm. If the input image matches with the trained dataset image, then the attendance results will be stored in a CSV sheet. The database is connected to a simple mail transfer protocol (SMTP, which makes attendance reachable to any mail. The system has 98% accuracy with the dataset of 1000-person images.

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