Automated Medicine Dispenser Assistant (AMDA)

The goal of this project is to improve patient medication adherence by automating, accurately, and promptly dispensing medication. An Automated Medicine Dispenser Assistant (AMDA) has been designed and put into operation. The system uses contemporary technology to improve patient care and is designed to be very interactive, user-friendly, and efficient. The Raspberry Pi, which acts as the main controller, forms the foundation of the AMDA. By integrating face recognition technology, it can identify patients and administer the right drug from one of ten compartments in accordance with customized schedules. This lowers the possibility of medication mistakes by guaranteeing that each patient receives the right amount at the right time. Stepper motors for exact control of the pharmaceutical compartments, load sensors for precise dose, and ultrasonic sensors for obstacle detection are important parts of the system Caregivers may remotely monitor and control medication regimens with the help of a Flask web server running on a Raspberry Pi. The server offers an online interface that can be accessed by web browsers. By using voice instructions and feedback for user engagement instead of a costly touchscreen interface, the initiative also focuses on cost-effectiveness. Through the use of encryption and secure communication protocols, the entire system is built to be safe. The overall goals of the AMDA are to improve medication management in both clinical and home settings, decrease medication mistakes, and increase patient compliance.

Authors

Publication Details

Published
2025-04-16
DOI
https://doi.org/10.1109/iccct63501.2025.11019012
Citations
1
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
1.49
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article

Automated Medicine Dispenser Assistant (AMDA)

S. Susila Sakthy, K.R. Saradha, T. P. Rani, I.V. Madumitha et al.
1 citations
IoT and Edge/Fog Computing
1.49
article

Automated Medicine Dispenser Assistant (AMDA)

S. Susila Sakthy, K.R. Saradha, T. P. Rani, I.V. Madumitha, V. Manikandan, H. Arshad Khan
article en
1 citations

Abstract

The goal of this project is to improve patient medication adherence by automating, accurately, and promptly dispensing medication. An Automated Medicine Dispenser Assistant (AMDA) has been designed and put into operation. The system uses contemporary technology to improve patient care and is designed to be very interactive, user-friendly, and efficient. The Raspberry Pi, which acts as the main controller, forms the foundation of the AMDA. By integrating face recognition technology, it can identify patients and administer the right drug from one of ten compartments in accordance with customized schedules. This lowers the possibility of medication mistakes by guaranteeing that each patient receives the right amount at the right time. Stepper motors for exact control of the pharmaceutical compartments, load sensors for precise dose, and ultrasonic sensors for obstacle detection are important parts of the system Caregivers may remotely monitor and control medication regimens with the help of a Flask web server running on a Raspberry Pi. The server offers an online interface that can be accessed by web browsers. By using voice instructions and feedback for user engagement instead of a costly touchscreen interface, the initiative also focuses on cost-effectiveness. Through the use of encryption and secure communication protocols, the entire system is built to be safe. The overall goals of the AMDA are to improve medication management in both clinical and home settings, decrease medication mistakes, and increase patient compliance.

Openalex Percentile: Top 16%
IoT and Edge/Fog Computing
1.49
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Automated Medicine Dispenser Assistant (AMDA) — S. Susila Sakthy, K.R. Saradha, et al. · (2025) | TGRS Research Map | TGRS