Also Available Domains Machine Learning
The main objective of this project is to navigate visually impaired people in an indoor environment with the help of raspberry pi by identifying the objects that are present in his path and guiding him through speech via headphones.
To overcome difficulty in indoor environment for the visually impaired group, this project presents a novel ETA (Electronic Travel Aids)-smart guiding device in the shape of a pair of eyeglasses for giving these people guidance efficiently and safely. Different from existing works, a novel multi-sensor fusion based obstacle avoiding algorithm is proposed, which utilizes both the soil moisture sensor and an ultrasonic sensor to solve the problems of detecting small obstacles, and transparent obstacles, e.g. the French door. This system developed to inform the direction where they can go ahead for Blind people. The prototype consisting of a camera and an ultrasonic sensor is developed, and its efficiency and accuracy were tested by several users. The experimental results show that smart guiding glasses can effectively improve the user’s traveling experience in the complicated indoor environment. Thus it serves as a consumer device for helping the visually impaired people to travel safely
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