| Autor: |
Mohana, R. S., Thangaraj, P., Krishnakumar, B., Praveen, M., Rohinth, T., Sanjayan, S. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2764 Issue 1, p1-6, 6p |
| Abstrakt: |
The advancements in computer vision and artificial intelligence are assisting in the improvement of the lives of persons with disabilities. Blindness or disabilities in the eyesight, is one of the top disabilities in both men and women, affects more than 285 million people around the world. Accessible visual information is one of the most important for improving the freedom and safety of blind and the visually challenged people. There is an immediate need to build an intelligent system to assist them in their navigation in their day to day activities. The proposed development is a shopping assistant for visually impaired people. The model will use the camera of the user's mobile phone to identify the packaged products that are available on the supermarkets. The image classification system is trained with the help of Convolutional neural network (CNN). Following the recognition of the item, the system will notify the user what product is in front of him in the form of voice note. With the accuracy rate of 97%, our model has successfully identified products with greater correctness than previous models. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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