About 300,000 people are deaf in Pakistan,they are deprived from various social activities and they are under-estimated to our society.we will solve this problem with image processing and deep learning.we collect data through a camera and process it with our system.We use CNN for classification.we h
Conversion of Sign Language to Urdu(text)
About 300,000 people are deaf in Pakistan,they are deprived from various social activities and they are under-estimated to our society.we will solve this problem with image processing and deep learning.we collect data through a camera and process it with our system.We use CNN for classification.we have aim to achieve communication of deaf-mute people like a normal person.
Frame extraction from video data, preprocessing the data, extracting key frames from the data followed by extracting other features,recognition and finally optimization. Preprocessing is done by converting the video to a sequence of RGB frames.Each frame having the same dimensions. Skin color segmentation is used to extract skin regions with the help of AHS we gradient. The images of obtained were converted to binary form. Food keyframes were extracted by calculating a gradient between the frames. And features were extracted from the keyframes using an orientation histogram. Classification was done by Euclidean distance, Manhattan distance, chess board distance and Mahalanobis distance.
Achieve communication of deaf-mute people like a normal person.
Our end product will be a completely developed Sign Language Recognition and Transformation in Urdu System.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| GeForce RTX 2060 | Equipment | 1 | 65500 | 65500 |
| Logitech C922 Pro Stream Webcam (960-001090) Logitech C922 Pro | Miscellaneous | 1 | 9500 | 9500 |
| Total in (Rs) | 75000 |
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