OCR and Sign board DETECTION AND RECOGNITION FOR BLIND MAN

We propose a real time system that can recognize a selection of indoor navigational signs placed. And OCR. The selection of signs will consist of common samples from different types of indoor signs. Given a captured image, the approach is to use image processing techniques to find the re

2025-06-28 16:28:41 - Adil Khan

Project Title

OCR and Sign board DETECTION AND RECOGNITION FOR BLIND MAN

Project Area of Specialization Artificial IntelligenceProject Summary

We propose a real time system that can recognize a selection of indoor navigational signs placed.
And OCR. The selection of signs will consist of common samples from different types of indoor
signs. Given a captured image, the approach is to use image processing techniques to find the
region of interest (ROI) that contains the sign and then extract this region for classification. Once a
sign has been detected by raspberry pi and camera on real time this information is communicated to
the user via headsets. To evaluate the system’s performance, several random pictures with and
without signs were used to determine the system’s detection rate.

Project Objectives

Blind people face difficulties when navigating unfamiliar environments. The information displayed
on indoor signs and notice boards is of no use to them. In order to assist them with this challenge,
We made this system for recognize the sign boards and OCR for blind people then the system
communication with headset.

Project Implementation Method

through raspbberypi and pi camera 

deep learning model cnn

and implements of yolo for signboard detection 

python

deep learning

Benefits of the Project

Blind people easily get The information displayed
on indoor signs and notice boards
easily read of printed text for reading and learning

help to feel confortable in indoor like hospitals and home

Technical Details of Final Deliverable

implements on raspbberyb pi with pi camera

on real time with yolo and deep learning test on signboards of nosmoking, stop, washrooms signs and uturn etc 

Final Deliverable of the Project HW/SW integrated systemCore Industry ITOther Industries Others Core Technology Artificial Intelligence(AI)Other Technologies Internet of Things (IoT)Sustainable Development Goals Good Health and Well-Being for PeopleRequired Resources
Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
Total in (Rs) 27500
raspbbery pi 4 Equipment12000020000
pi camera Equipment160006000
pi case Equipment115001500

More Posts