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I think manual attendance registers are outdated and prone to 'proxy' marking by students. To automate this process, we designed a smart attendance system that handles face recognition and liveness detection in real time. By implementing a majority-vote trick across several video frames, we try to eliminate the 'flickering' identity issues common in older software. The project tries to build to run on a standard CPU without needing expensive GPUs, and it still achieves a smooth 18 FPS. These results, including an 84.1% accuracy for masks, which is best for a college project, demonstrate that the tool is a viable, tamper-proof alternative for university environments like Galgotias.
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Mehra et al. (Thu,) studied this question.
www.synapsesocial.com/papers/6a0d5013f03e14405aa9bb08 — DOI: https://doi.org/10.56975/ijsdr.v11i5.309772
Jatin Mehra
Abhinav chandra Singh miyan
S Vengatesh Kumar
Galgotias University
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