Advanced Audio Aid for Blind People Visually Impaired using Raspberry Pi


Visually impaired persons find it more challenging to move out independently. There are millions of visually impaired or blind people in this world who are always in need of helping hands. The smart walking stick that we have designed will help the blind society by providing more convenient means of life and to move around independently. The stick consists of 4 ultrasonic sensors, one camera and an earphone. Out of 4 sensors 3 of them used for obstacle detection and the last one is used for pothole detection. The camera is used for text and object recognition. Thus, it works as a virtual eye for blind people. The output will be from an earpiece  raspberry pi application projects chennai. 


Over 37 million people across the globe are visually impaired, among which one in three of them is an Indian, visually impaired people feel difficult to identify objects and reduces their activities in several fields like, while working in office difficult to identify things. 

While accessing printed text by using existing technology visually impaired people face numerous difficulties regarding to the alignment, focus, accuracy, mobility and efficiency. This paper proposes the smart reader for visually impaired people. To read text document camera based assistive methodology is used as an input. Captured image by web camera is converted into machine coded text by using OCR (Optical Character Recognition). The audio output is achieved by using text to speech synthesis through speaker. Tesseract library and python programming is used for conversion of printed documents into text file by using raspberry pi application projects in chennai.

The main aim of the project is to detect obstacles and recognize faces which would help them to do their daily work easier and smoother without any disturbances. 



Blind people generally use either the typical white cane or the guide dog to travel. The white cane is a widely used mobility aid that helps blind people to navigate in their surroundings. 

2019 raspberry pi application project centers in chennai, Although the white stick gives a warning about few meters before the obstacle, for a normal walking speed, the time to react is very short. 

The idea of designing and manufacturing ultrasonic sensor combines the properties of sound monition and that benefit the blind and vibrating alert feature, which benefit from the experience of deafness. 

Sensor can detect obstacles within the designed range to avoid the blind person through the issuance of distinctive sound or vibration can be issued by the sense of the deaf by putting his finger on the button at the top of the device vibrate when there is a risk. 

This system involves more manual work and it does not provide better result. The existing system doesn’t provide proper navigation and is not much effective.



This system involves more manual work.

Its cannot able to find pothole.

Less Secured for blind People.



In Our Proposed Work smart stick is an electronic walking guide which has four ultrasonic sensors. 

Out of these four sensors 3 sensors are used for obstacle detection which is placed on the side of the stick. 

The other sensor is responsible for pothole detection which is placed below the smart stick. 

These ultrasonic sensors range from 2-250cms. A camera is used for object identification and text identification.

A toggle switch is kept which is operated by the user to enable the different features of the smart stick. Finally, the output of the stick is through an earpiece. 


A device that helps visually impaired people as walking assistance.

Uses sensors to gather information of obstacles. 

A device that can be used without Internet connectivity.

A device that is cost effective, easy to use and portable.

A device that notifies the user about obstacles in the form of speech




1.Pascolini D, Mariotti SPM. Global estimates of visual impairment: 2010. British Journal Ophthalmology Online First published December 1, 2011 as 10.1136/bjophthalmol-2011-300539.

2.Helal, S. E. Moore and B. Ramachandran, "Drishti: an integrated navigation system for visually impaired and disabled," Wearable Computers, 2001. Proceedings. Fifth International Symposium on, Zurich, 2001, pp. 149-156.

3.Dakopoulos and N. G. Bourbakis, "Wearable Obstacle Avoidance Electronic Travel Aids for Blind: A Survey," in IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), vol. 40, no. 1, pp. 25-35, Jan. 2010.

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