An Efficient Way to Represent Braille using YOLO Algorithm
| Autor: | Khalilur Rahman, Jia Uddin, Sadid Rafsun Tulon, Syed Zamil Hasan Shoumo, Ahnaf Atef Choudhury, Ramkrishna Saha |
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| Rok vydání: | 2018 |
| Předmět: |
Blindness
Computer science Cognitive neuroscience of visual object recognition Image processing 02 engineering and technology Braille medicine.disease Object (computer science) Object detection 03 medical and health sciences 0302 clinical medicine Human–computer interaction 0202 electrical engineering electronic engineering information engineering medicine ComputingMilieux_COMPUTERSANDSOCIETY 020201 artificial intelligence & image processing 030212 general & internal medicine Braille language Day to day |
| Zdroj: | 2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR). |
| DOI: | 10.1109/iciev.2018.8641038 |
| Popis: | Blindness is a curse that has affected more than 30 million people of the world hampering their day to day lives to an unbearable extent. A braille in this case is a ray of hope for the visually impaired which allows them to see and understand which their eyes do not allow them to. This paper addresses this issue and proposes to create a dynamic braille which will identify an object using a camera in real time, convert the identified image into text and finally convert the text into braille language. Around 9000 objects can be successfully detected using this model. This is an innovative way of combining the functioning of braille along with the object detection methods of image processing and thus hopefully using this the problems that arise due to blindness can be solved to some extent. |
| Databáze: | OpenAIRE |
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