Obstacle Avoidance and Detection for Blind People

Authors: Ms. Sejal Chavda

DOI: https://doi.org/10.17605/OSF.IO/W65KN

Short DOI: https://doi.org/ggkv9r

Country: India

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Abstract: By using the smart walking cane blind people can perform their work in a convenient way. Smart walking stick can able to support Object identification by the help of image processing and mainly the output would be in the form of Voice output. In proposed system, cam plays a major role in spotting the objects. The stick calculates the distance between objects and Smart Walking Stick by Ultrasonic sensor. When an obstacle is detected in the range of ultrasonic sensor, the obstacle name will be given as output in the earphones. Images will be captured using a camera and the camera is connected with Raspberry Pi. Later on, it checks with the database and gives the output. If any object which is not stored in the database is encountered, then it says unknown object identified. For example, instead of GSM this raspberry pi can send alert message and also it does the work of Arduino and microcontrollers. We are also giving voice output based on image recognition for identification of object which is connected to earphones. We are using IR sensor to detect light.

Keywords: Object avoidance, raspberry pi, light sensors, IR sensor, image processing

Paper Id: 545

Published On: 2015-09-11

Published In: Volume 3, Issue 5, September-October 2015

Cite This: Obstacle Avoidance and Detection for Blind People - Ms. Sejal Chavda - IJIRMPS Volume 3, Issue 5, September-October 2015. DOI 10.17605/OSF.IO/W65KN

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