Medicine Identification for Blind People by Deep Learning Techniques

Authors

  • Ch Mary Assistant Professor, Department of CSE, Sri Vasavi Institute of Engineering and Technology, Nandamuru, Andhra Pradesh, India Author
  • M. Supriya UG Students, Department of CSE, Sri Vasavi Institute of Engineering and Technology, Nandamuru, Andhra Pradesh, India Author
  • V. Nishanth UG Students, Department of CSE, Sri Vasavi Institute of Engineering and Technology, Nandamuru, Andhra Pradesh, India Author
  • G. Divya UG Students, Department of CSE, Sri Vasavi Institute of Engineering and Technology, Nandamuru, Andhra Pradesh, India Author
  • MD. Apsar UG Student, Department of Electronics and Communication Engineering, SV College of Engineering (SVCE), Tirupati, A.P. India Author

Keywords:

Convolutional Neural Network, LeNet, Alex Net, Image Processing Techniques, Python

Abstract

Giving blind people with great accessibility to their environment is of great demand. People with visual impairments experience a lot of problem in using the modern assistive device that limits their daily basic activities. The level of assistance provided of these special aids does not meet the consumer requirements and not affordable by the every section of the society. To overcome the some of the limitations of the existing visual aids, in this paper we present the work that helps the visually impaired person with smart glasses to identify the medicine. The name of the medicine can be read by the smart glass system that provides audio signal through the ear phones. The smart glass system reads the medicine name using Convolutional neural network.

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Published

23-04-2024

Issue

Section

Research Articles

How to Cite

[1]
Ch Mary, M. Supriya, V. Nishanth, G. Divya, and MD. Apsar, “Medicine Identification for Blind People by Deep Learning Techniques”, Int J Sci Res Sci Eng Technol, vol. 11, no. 2, pp. 422–427, Apr. 2024, Accessed: Dec. 22, 2024. [Online]. Available: https://ijsrset.com/index.php/home/article/view/IJSRSET2411217

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