Deep learning for daily care: medicine recognition and reminder systems for the visually impaired
References
- Logesh, K., Karthikeyan, P., Abishek, T., & Jayamani, S. “Assistance for Visually Impaired People Using Deep Learning.” 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN), IEEE, 2023, India.
- Haslinah Mohd Nasir et al. “Android based application for visually impaired using deep learning approach.” IAES International Journal of Artificial Intelligence (IJ-AI) (2021). DOI:
10.11591/ijai.v10.i4.pp879-888 - Maria Thomas and Kevin Meehan, “Banknote Object Detection for the Visually Impaired using a CNN,” 32nd Irish Signals and Systems Conference (ISSC), Letterkenny, Ireland, 2021. DOI:
10.1109/ISSC52156.2021.9467850 . - Thomas Pursche, et.al., “Concurrent video-based heart-rate measurement from human faces for large groups of participants - an improved CNN approach,”, 32nd Irish Signals and Systems Conference (ISSC), University of Wuppertal, School of Electrical, Information and Media Engineering, Automatic Control, Wuppertal 42119, Germany, 2021, DOI:
10.1109/ISSC52156.2021.9467850 . - Kanak Manjari, Madhushi Verma, and Gaurav Singal, “CREATION: Computational constRained travel Aid for object detection In Outdoor environment,”, 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), Department of Computer Science Engineering, Bennett University, Greater Noida, India, 2019, DOI:
10.1109/SITIS.2019.00049 . - Chellaswamy C, Dhelipan Raj A, Geetha T S, Archana K, Hariharan K, and Babitharani S, “Deep Learning-Based Braille Technology for Visual and Hearing Impaired People,” 2023 International Conference on Smart Systems for applications in Electrical Sciences (ICSSES), Department of ECE, SRM TRP Engineering College Tiruchirappalli, India, DOI:
10.1109/ICSSES58299.2023.10199935 . - Shruthi G, Pradyumna Patil, and Krishna Raj P M, “Design and Development of Visual Question Answering model for the Visually Impaired,” International Conference on Recent Advances in Science & Engineering Technology (ICRASET), Ramaiah Institute of Technology, Bengaluru, 2023.
- Ankit Pandey, Naeem Ahmad, and Dibakar Saha, “Detection of ground holes using Deep Learning for Surveillance,” 21st OITS International Conference on Information Technology (OCIT 2023), Department of Computer Applications, National Institute of Technology, Raipur, India.
- Juncen Long, Jie Mei, and Guangfu Ma, “Egocentric Two-Frame Pedestrian Trajectory Prediction Algorithm Based on a Panoramic Camera,” IEEE Transactions on Instrumentation and Measurement, vol. 72, 2023.
- Mohanram, S., Goventhan, M., Balamurugan, V., & Rajeshvaran, N., “Glaucoma detection using CNN ensemble classifier and OTSU threshold algorithm.” In International Conference on Circuit Power and Computing Technologies (ICCPCT), 2023.
- Yadav, D. K., Mookherji, S., Gomes, J., & Patil, S., “Intelligent Navigation System for the Visually Impaired - A Deep Learning Approach”, In Proceedings of the Fourth International Conference on Computing Methodologies and Communication (ICCMC 2020), IEEE Xplore, 2020.
- Punit Srivastava, Priyanshi Shrivastav, Nikhil Chaturvedi, and R.L. Yadava. “Performance Analysis of AI-based Optical guiding Device for visually compromised person.” In 2022 International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN), Greater Noida, India.
- Monica. R, Nirmala. K, Divya. B, and Suganthi. L, “Recognition of Medicine using CNN for Visually Impaired,” in International Conference on Communication and Signal Processing, July 28 – 30, 2020, India.
DOI: https://doi.org/10.2478/ijssis-2025-0025 | Journal eISSN: 1178-5608
Language: English
Submitted on: Mar 18, 2025
Published on: Jun 10, 2025
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year
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© 2025 Uttam Waghmode, Pooja Bagane, Ashwini Naik, Rajendra Balaso Mohite, Aasha Mahesh Chavan, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.