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

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-Powered VLSI-Enabled Smart Pillbox for Real-Time Medication Adherence Monitoring and Automated Dispensing

D Varsha, S B Manojkumar, Pramod, M B Anandaraju et al.
Intravenous Infusion Technology and Safety
article

AI-Powered VLSI-Enabled Smart Pillbox for Real-Time Medication Adherence Monitoring and Automated Dispensing

D Varsha, S B Manojkumar, Pramod, M B Anandaraju, G Manjunatha, B S Sunitha
article en

Abstract

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.

Openalex Percentile: Top 86%
Intravenous Infusion Technology and Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.