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Shriram KV
Bengaluru, Karnataka
A computer vision based real time assitant for the visually challenged
Here, we have tried to get a real-time assistant for the visually challenged people to identify all the components in Kitchen and to make out their own food without having need to look for others. The same can be expanded to get them virtual eyes, though they cannot see. This will reduce the need for someone to always have an assistant or helper. ...learn more
Project status: Under Development
Overview / Usage
Here, with a real-time camera feed, with appropriate pre-training being given, Our system shall be capable of identifying all the components in the kitchen for the visually challenged people.
Methodology / Approach
We have built the hardware and software for the entire system keeping two things in mind. The first half is Vision support and the second section is Audio support. The texture properties of the object is extracted and trained for accuracy. Hu Moments is the employed technique for this implementation. Audio support has been built using traditional text to speech conversion modules.
Technologies Used
OpenCV, Image Processing, Computer Vision, Audio Processing and Python.
Repository
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