Abstract
Face recognition, fingerprint recognition, and other biometric authentication methods are gradually becoming the most promising means for identifying a person's face. We can use them in our phones, laptops, offices, and other devices. However, pupils' attendance is still taken manually, which takes a long time and is extremely inefficient. To preserve that valuable time, we needed an automated operating attendance system that eliminated all of the drawbacks of collecting attendance on paper. We're putting together a system that's both efficient and dependable. Using OpenCV, we created a face recognition-based attendance system. We can apply our attendance system anywhere, not just for students. For face detecting and recognizing, the Haar Cascade algorithm is utilized.
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