Speech Guidance using Real-Time Object Detection

Authors

  • Hardik Pathar, Naveen Kumar RV, Neha Yadav, Nayaz Ahamed I S, Shilpa V

Abstract

There are 40 million visually impaired people in India, they find it very difficult to perform basic day to day commuting, as they are unable to read traffic signs and detect nearby objects, also they can’t find the exact position of the vehicles and they often rely on other pedestrians to guide them to their destination. This project aims to provide a method to solve this issue through an application that contains an image recognition system that detects nearby boards and signs in surroundings. The camera is used to capture the image and the captured image is analyzed (object detection) and converted into text and then text to speech model converts text into audio format. This enables them to know their position and helps them to decide where to go without asking anyone else. It not only makes their travel easier but also saves a lot of time and enhances their safety on roads. It makes them independent.

 Keywords: visually impaired, TTS, Real-time objects, object detection, text to speech conversion.

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Published

2020-05-12

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Section

Articles