Real-Time Object Detection for Visually Challenged People

Author(s):  
Sunit Vaidya ◽  
Naisha Shah ◽  
Niti Shah ◽  
Radha Shankarmani

The primary issue faced by all types of visually challenged people around the globe is their self-independence. They feel dependent on every task they want to perform in their daily lives and this acts as an obstacle to the exciting things which they would otherwise want to do. This paper proposes a solution in the form of wearable smart spectacles which works on the Raspberry Pi Platform for making the visually challenged people self-sufficient and move freely in their known as well as unknown surroundings. This smart Spectacle uses a USB (Universal Serial Bus) camera and detects real-time objects in the vicinity using the SSD-MobileNets object detection algorithm and provides vision in the form of audio through the use of Headphones. The Smart Spectacles also combines the use of the OCR algorithm for Text Detection and proposes the module for quick and accurate detection of currency by the visually challenged.


Author(s):  
Ranjana Jadhav ◽  
Divsehaj Singh Anand ◽  
Aryan Kumar Gupta ◽  
Shreyas Khare ◽  
Dheeraj Sharma ◽  
...  

Author(s):  
Prof. Pradnya Kasture ◽  
Akshay Tangade ◽  
Aditya Pole ◽  
Aishwarya Kumkar ◽  
Yash Jagtap

Vision is one of the foremost necessary sense that human beings use to interact with the surrounding objects. There are more than 200 visually challenges people in this world and being visually challenged obstruct lots of daily activities. Hence it is very important for blind person to know what objects they are interacting with and understand their surroundings. In this project we have created a website, which help the blind people to identify different objects in the surrounding using YOLO V3 algorithm. This integrates different technologies to build a rich website which not only helps to recognize different object in the visually challenged persons surrounding in real time but also guides them through an audio output. YOLO (You Only Look at Once) algorithm is used for object detection and recognition. This algorithm gives very close accuracy for object detection in real time and studies have also proven the this algorithm is faster and better than other object detection algorithms.


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