How I built a computer vision pipeline that extracts code from skewed textbook photos using 4-point perspective warps, adaptive thresholding, and sandboxed Docker execution.
How I built a real-time biometric attendance system in Python using OpenCV, Dlib’s 68-point landmarks, and 128D ResNet embeddings, solving frame lag and spoofing.
Real-time attendance tracking using face recognition with KNN classification
Practical computer vision pre-processing techniques including denoising, thresholding, binarization, and deskewing to dramatically enhance OCR recognition accuracy on real-world document images.