Welcome to the People repository! This project is aimed at enhancing communication and accessibility for individuals with diverse needs. The People repository consists of four key features:
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RetinaVision: An object detection system that utilizes computer vision to identify objects in the environment and provides information about them through voice communication.
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SignHand: A sign language detection tool that leverages camera input to interpret sign language gestures. SigHnd facilitates communication with individuals who use sign language as their primary means of expression.
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MuteTalk: A text-to-voice generator designed to assist those who prefer or need to communicate through voice but may face challenges in doing so. MuteTalk converts text input into spoken words, enabling smooth conversations.
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SignAR: A real-time text-to-AR generator that transforms typed text into augmented reality representations of sign language hands. SignAR enhances communication by providing a visual representation of sign language gestures corresponding to the entered text.
VID-20240416-WA0008.mp4
- Object Detection: Utilizes advanced computer vision techniques to identify and categorize objects in the surroundings.
- Voice Output: Communicates information about detected objects through a voice interface.
- Sign Language Detection: Uses camera input to interpret sign language gestures.
- Communication Aid: Facilitates communication with individuals who use sign language as their primary means of expression.
- Text-to-Voice Conversion: Generated typed text into spoken words.
- Accessibility: Supports users who may have difficulty using their voice for communication.
- Real-time Text-to-AR: Generates augmented reality representations of sign language hands based on typed text input.
- Visual Communication: Enhances communication by providing a visual representation of sign language gestures.
This project is currently under development, and we are in the prototype testing phase.
We welcome contributions from the community to improve and expand the capabilities of the People project. If you have ideas, bug reports, or want to contribute code.
We would like to express our gratitude to the open-source community for their valuable contributions and support in making the People project a reality. Thank you for helping us create a more inclusive and accessible world.