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 h

2025-06-28 16:30:57 - Adil Khan

Project Title

Conversion of Sign Language to Urdu(text)

Project Area of Specialization Artificial IntelligenceProject Summary

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.

Project Objectives Project Implementation Method

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.

Benefits of the Project

Achieve communication of deaf-mute people like a normal person.

Technical Details of Final Deliverable

Our end product will be a completely developed Sign Language Recognition and Transformation in Urdu System.

Final Deliverable of the Project Hardware SystemCore Industry EducationOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Quality Education, Industry, Innovation and Infrastructure, Reduced InequalityRequired Resources
Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
Total in (Rs) 75000
GeForce RTX 2060 Equipment16550065500
Logitech C922 Pro Stream Webcam (960-001090) Logitech C922 Pro Miscellaneous 195009500

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