Open AccessElectronic Eye for Blind People with Object Detection and Audio Output Using Image Processing
Author(s) -
Atharva Shewale,
Mrunalini Mahakalkar,
Vijay Pawar,
Yajan Bharad,
Shwetambari Chiwhane
Publication year - 2021
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-1043
Subject(s) - object (grammar) , computer science , scope (computer science) , computer vision , artificial intelligence , image processing , track (disk drive) , object detection , human–computer interaction , image (mathematics) , segmentation , programming language , operating system
One of the major issues faced by Blind people is detecting and recognizing an object. The objective of this project is to help the blind people because mobility of blind people is always a great problem. The mobility of blind people in unknown environment seems impossible without external help, because they don’t have any proper idea about their surroundings. So, we are developing a electronic eye which helps them to know about their surroundings and also guide them during travelling. Developing a system based on image processing using DNN algorithm which is able to labeling objects with the help of OpenCV and Tensor flow libraries and converting the labeled text in to speech and producing output in the form of audio to make the blind person aware of the object in front of him or her. The scope of this system is also measuring the distance of the object from the person and reporting the same Object detection using image processing and Machine Learning. It searches the object. We want to innovate our system the possibility of using the hearing sense to understand real time objects. For the security purpose track blind people in real time environment.