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AI-Driven Drug Pill Recognition System: A CNN-Based Android Application for Visually Impaired and Senior Citizens (Record no. 132811)
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| fixed length control field | 01537nam a2200145 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250912b |||||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Rashmi Rameshrao Shrirao |
| 245 ## - TITLE STATEMENT | |
| Title | AI-Driven Drug Pill Recognition System: A CNN-Based Android Application for Visually Impaired and Senior Citizens |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | pp24-33 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. biblio.abstract | As individuals age, challenges such as declining vision and memory can increase the risk of medication errors, particularly among the elderly and visually impaired. To address this issue, this research presents a deep learning-based Android application for accurate and accessible drug pill recognition. The system leverages a contrast-enhanced Convolutional Neural Network (CNN) trained on a diverse pill image dataset, achieving a test accuracy of 98%. Integrated with a REST API, the model enables real-time image classification via a smartphone camera. The application further enhances usability through voice-assisted feedback and visual pill details, promoting autonomy and medication adherence. This AI-driven solution bridges the gap between healthcare and technology, offering a practical tool to reduce medication errors and improve the quality of life for users with visual and cognitive impairments. |
| 654 ## - SUBJECT ADDED ENTRY--FACETED TOPICAL TERMS | |
| Subject | <a href="Pill Recognition">Pill Recognition</a> |
| -- | <a href="Deep Learning">Deep Learning</a> |
| -- | <a href="Elderly Healthcare">Elderly Healthcare</a> |
| -- | <a href="Convolutional Neural Network (CNN)">Convolutional Neural Network (CNN)</a> |
| -- | <a href=" Assistive Technology."> Assistive Technology.</a> |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Shubhangi Mahendra Handore |
| 773 0# - HOST ITEM ENTRY | |
| Host Biblionumber | 80302 |
| Host Itemnumber | 113837 |
| Place, publisher, and date of publication | i-manager's Publications |
| Title | i-manger's Journal on Mobile Applications & Technologies |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Journal Article |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Location (home branch) | Sublocation or collection (holding branch) | Date acquired | Koha issues (times borrowed) | Piece designation (barcode) | Koha date last seen | Price effective from | Koha item type |
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| Dewey Decimal Classification | SNDT Juhu | SNDT Juhu | 12/09/2025 | jp928.3 | 12/09/2025 | 12/09/2025 | Journal Article |