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Pillbox: Automatic Pill Recognition and Recommendation System Using Deep Learning Techniques and IoT
Authors
1234Student, Department of Electronics and communication engineering, Vivekanandha College of Engineering for women, Tiruchengode, Namakkal District, Tamil Nadu,637205. 5professor, Department of Electronics and communication engineering, Vivekanandha College of Engineering for women, Tiruchengode, Namakkal District, Tamil Nadu,637205.
Article Information
- DOI
- No DOI
- Published In
- Volume 3, Issue 3 (2022)
- Published Online
- May-June 2022
- Pages
- 179-185
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
References
1. X. Zhang and C. Liu, "Research on Intelligent Recognition and Sorting Robot for Defect Tablets", Computer Measurement & Control,
vol. 28, no. 1, pp. 227-231, 2020.
2. X. Zhang and C. Liu, "Research on Intelligent Recognition and Sorting Robot for Defect Tablets", Computer Measurement & Control,
vol. 28, no. 1, pp. 227-231, 2020.
3. W.-J. Chang, L.-B. Chen, C.-H. Hsu, C.-P. Lin, and T.-C. Yang, ``A deep learning-based intelligent medicine recognition system for
chronic patients,'' IEEE Access, vol. 7, pp. 44441-44458, 2019.
4. S. Chokchaitam and P. Sukpornsawan, "Luminance Compensation based on Background Shadow for White-Pill Identification", ABBE
conference 2018, pp. 307-311, 2018.
5. Diaa Salama Abdul and Mohamed Abd-ELfattah Minaam, "Smart drugs: Improving healthcare using Smart Pill Box for Medicine
Reminder and Monitoring System", Future Computing and Informatics Journal, vol. 3, no. 2,2018, pp. 443-456.
6. Pengyuan Lyu, Minghui Liao, Cong Yao, Wenhao Wu, and Xiang Bai, "Mask textspotter: An end-to-end trainable neural network for
spotting text with arbitrary shapes", Proceedings of the European Conference on Computer Vision (ECCV), pp. 67-83, 2018.
7. Xiao Zeng, Kai Cao, and Mi Zhang, "Mobiledeeppill: A small-footprint mobile deep learning system for recognizing unconstrained pill
images", Proceedings of the 15th Annual International Conference on Mobile Systems Applications and Services, pp. 56-67, 2017.
8. J. Xu, Q. Yu, X. Ren, and Q. Wang, "Design of tablet form merohedral stuffing identification and sorting system based on machine
vision", Transducer and Microsystem Technologies, no. 6, pp. 90-93, 2017.
9. J. Xu, Q. Yue, X. Ren, and Q. Wang, "Design of tablet form merohedral stuffing identification and sorting system based on machine
vision", Transducer and Microsystem Technologies, vol. 36, no. 6, pp. 90-93, 2017.
10. S. Chawla, "The autonomous pill dispenser: Mechanizing the delivery of tablet medication", 2016 IEEE 7th Annual Ubiquitous
Computing Electronics & Mobile Communication Conference (UEMCON), pp. 1-4, 2016.
vol. 28, no. 1, pp. 227-231, 2020.
2. X. Zhang and C. Liu, "Research on Intelligent Recognition and Sorting Robot for Defect Tablets", Computer Measurement & Control,
vol. 28, no. 1, pp. 227-231, 2020.
3. W.-J. Chang, L.-B. Chen, C.-H. Hsu, C.-P. Lin, and T.-C. Yang, ``A deep learning-based intelligent medicine recognition system for
chronic patients,'' IEEE Access, vol. 7, pp. 44441-44458, 2019.
4. S. Chokchaitam and P. Sukpornsawan, "Luminance Compensation based on Background Shadow for White-Pill Identification", ABBE
conference 2018, pp. 307-311, 2018.
5. Diaa Salama Abdul and Mohamed Abd-ELfattah Minaam, "Smart drugs: Improving healthcare using Smart Pill Box for Medicine
Reminder and Monitoring System", Future Computing and Informatics Journal, vol. 3, no. 2,2018, pp. 443-456.
6. Pengyuan Lyu, Minghui Liao, Cong Yao, Wenhao Wu, and Xiang Bai, "Mask textspotter: An end-to-end trainable neural network for
spotting text with arbitrary shapes", Proceedings of the European Conference on Computer Vision (ECCV), pp. 67-83, 2018.
7. Xiao Zeng, Kai Cao, and Mi Zhang, "Mobiledeeppill: A small-footprint mobile deep learning system for recognizing unconstrained pill
images", Proceedings of the 15th Annual International Conference on Mobile Systems Applications and Services, pp. 56-67, 2017.
8. J. Xu, Q. Yu, X. Ren, and Q. Wang, "Design of tablet form merohedral stuffing identification and sorting system based on machine
vision", Transducer and Microsystem Technologies, no. 6, pp. 90-93, 2017.
9. J. Xu, Q. Yue, X. Ren, and Q. Wang, "Design of tablet form merohedral stuffing identification and sorting system based on machine
vision", Transducer and Microsystem Technologies, vol. 36, no. 6, pp. 90-93, 2017.
10. S. Chawla, "The autonomous pill dispenser: Mechanizing the delivery of tablet medication", 2016 IEEE 7th Annual Ubiquitous
Computing Electronics & Mobile Communication Conference (UEMCON), pp. 1-4, 2016.
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