The elderly population is growing rapidly, with projections indicating 2.1 billion people aged 60+ by 2050. To address the risks faced by elderly individuals living independently, the E-Care: Electronic Monitoring using Image Processing for Elderly Care system was developed. This web-based platform integrates MediaPipe and OpenCV for real-time fall detection and health monitoring, alerting caregivers instantly. Built with Python, Flask, and MySQL, it ensures efficient data processing and notifications for emergency situations. The system’s development followed the Agile methodology, allowing iterative design, testing, and user feedback to ensure continuous improvement and better meet user needs. Functionality and user acceptance testing confirmed the system’s effectiveness in improving emergency response times. Future enhancements may include AI for better fall prediction and scalability. E-Care offers a cost-effective solution for elderly care, supporting independent living while ensuring safety.
| Item Type: | Book Section |
|---|---|
| Creators: | Creators Email / ID Num. Awang Kechik, Nur Shahira UNSPECIFIED Che Jan, Nora Yanti UNSPECIFIED |
| Subjects: | Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Computer software > Application software |
| Divisions: | Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Computer and Mathematical Sciences |
| Journal or Publication Title: | Proceedings of Research Exhibition in Mathematics and Computer Sciences REMACS |
| ISSN: | 3093-7930 |
| Page Range: | pp. 81-82 |
| Keywords: | Image Processing, Elderly Care, Fall Detection, MediaPipe, Electronic monitoring system, Real-time notifications |
| Date: | 2025 |
| URI: | https://ir.uitm.edu.my/id/eprint/143856 |
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143856.pdf
