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
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
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.
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.
through raspbberypi and pi camera
deep learning model cnn
and implements of yolo for signboard detection
python
deep learning
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
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
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| raspbbery pi 4 | Equipment | 1 | 20000 | 20000 |
| pi camera | Equipment | 1 | 6000 | 6000 |
| pi case | Equipment | 1 | 1500 | 1500 |
| Total in (Rs) | 27500 |
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