Video card and processor speed are key components.For slightly greater distances to there is strong correlation between camera quality and system capabilities.More frames/sec leads to better performance.Video capture device requires 320 x 420 resolution to and at least 3-5 frames/sec.Hardware requirements for Face Recognition System Project: One of the ways to do this is by comparing selected faces from the image. A facial recognition system is a computer software capable to identify or verify a person from a digital frame or a video frame from a source. These features are crucial to the performance of the facial recognition. This system automatically detects the students when he enters in class room and marks of the attendance by recognizing his face.įace detection project not only detects the face, but also locates the very important facial features, such as eyes and mouth. In our work we propose automatic attendance system using face recognition. Face Recognition System Project known as Automatic Face Recognition (AFR), is a particularly attractive for biometric approach, since it focuses on the same identifier that humans use primarily to distinguish one person from another.įace recognition attendance system project source code is a smart way of marking attendance which is a many more secure and time efficient as compared to already existing attendance systems.
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