Real time text detection and recognition on hand held objects to assist blind people

Author(s):  
Samruddhi Deshpande ◽  
Revati Shriram
2021 ◽  
pp. 240-257
Author(s):  
Ryota Yoshihashi ◽  
Tomohiro Tanaka ◽  
Kenji Doi ◽  
Takumi Fujino ◽  
Naoaki Yamashita

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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