FPGA-based Automatic Pill Dispenser using Decision Tree Classifier

Accurate pill dispensing is crucial for ensuring effective medication management, particularly for elderly individuals and patients with chronic conditions. In this research, we propose an FPGA-based automatic pill dispenser utilizing a decision tree classifier. The decision tree algorithm classifies pills based on their shape and size features, facilitating precise dispensing at designated times. Our methodology involves training the decision tree classifier using a sample dataset of pill characteristics. Through entropy calculations and information gain analysis, we derive a decision tree tailored to the dataset. The FPGA implementation enables real-time pill dispensing, offering advantages such as low power consumption and parallel processing. Our findings demonstrate the efficacy of the proposed approach in accurately dispensing pills, addressing the critical need for reliable medication administration systems.

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Publication Details

Published
2024-08-29
DOI
https://doi.org/10.1109/iceect61758.2024.10739010
Primary Topic
IoT and Edge/Fog Computing
Type
article
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article

FPGA-based Automatic Pill Dispenser using Decision Tree Classifier

Sandeep Kumar, Nishi Agarwal, Rahul Dev, S. Suresh Kumar et al.
IoT and Edge/Fog Computing
article

FPGA-based Automatic Pill Dispenser using Decision Tree Classifier

Sandeep Kumar, Nishi Agarwal, Rahul Dev, S. Suresh Kumar, Brajesh Kumar Singh
article en

Abstract

Accurate pill dispensing is crucial for ensuring effective medication management, particularly for elderly individuals and patients with chronic conditions. In this research, we propose an FPGA-based automatic pill dispenser utilizing a decision tree classifier. The decision tree algorithm classifies pills based on their shape and size features, facilitating precise dispensing at designated times. Our methodology involves training the decision tree classifier using a sample dataset of pill characteristics. Through entropy calculations and information gain analysis, we derive a decision tree tailored to the dataset. The FPGA implementation enables real-time pill dispensing, offering advantages such as low power consumption and parallel processing. Our findings demonstrate the efficacy of the proposed approach in accurately dispensing pills, addressing the critical need for reliable medication administration systems.

Galgotias University (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 78%
IoT and Edge/Fog Computing
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