AI-Powered VLSI-Enabled Smart Pillbox for Real-Time Medication Adherence Monitoring and Automated Dispensing
Smart medication management systems are pivotal in addressing challenges related to patient adherence to prescribed regimens. This paper presents a novel VLSI-enabled AI-powered smart pillbox that automates medication dispensing and monitors adherence in real time. The system employs advanced AI algorithms to schedule and dispense medication accurately while providing personalized notifications and alerts for missed doses. Designed with energy-efficient hardware, the pillbox ensures high performance while maintaining low power consumption. Initial results demonstrate dispensing accuracy of 98%, adherence monitoring at 20 ms latency, and power efficiency at 4 MB/Watt. These findings emphasize the system's efficacy in ensuring reliable and user-friendly medication management. Despite these advancements, challenges persist in adapting the solution to diverse patient requirements and improving integration with healthcare ecosystems. Future research will focus on enhancing the system's robustness, exploring broader healthcare applications, and leveraging emerging technologies to optimize functionality. This work underscores the potential of AI-driven smart pillboxes in transforming medication adherence and healthcare management.
Authors
- D Varsha
- S B Manojkumar
- Pramod
- M B Anandaraju
- G Manjunatha
- B S Sunitha
Publication Details
- Published
- 2025-04-23
- DOI
- https://doi.org/10.1109/raeeucci63961.2025.11048297
- Primary Topic
- Intravenous Infusion Technology and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00