Indian Sign Language Recognition (ISLAR)
summary
ISLAR claims to standardize Indian sign language by recognizing alphabets and digits and handling regional variation using image processing, hand-gesture detection and facial keypoints, trained on NGO-collected videos, and designed to run on low-resource devices with no heavy GPUs or internet. The prototype recognizes alphabets and digits in realtime, keeps model size small, reports promising accuracy on collected test sets, and is already demoed to the TensorFlow team.
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