Abstract: This study explores the convergence of the Internet of Things (IoT), image processing, artificial intelligence (AI), and machine learning (ML) to revolutionize medication compliance and improve patient monitoring in modern healthcare systems. It explores an advanced system that converges an automated dispensing device for medication with a wearable biometric wristband, which is preinstalled with sensors for real-time monitoring of physiological indicators such including heart rate, body temperature, and motion dynamics. The integrated solution facilitates real-time health monitoring and ensures accurate delivery of drugs. Advanced AI/ML technologies are employed for verifying dispensing accuracy and delivering predictive health assessments. The study emphasizes how this revolutionary integration enables key challenges in continuous health monitoring, remote care, drug adherence, and data security with scalable and user-centric healthcare approach.
Keywords: IoT, image processing, artificial intelligence, machine learning, medication adherence, automated medication dispensing, wearable biometric wristband, real-time health tracking.
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DOI:
10.17148/IARJSET.2025.121044
[1] USHA. B, RAKSHITH. G, M. GREESHMA, V. KUNJANA, DR. KAVITHA N, "Comprehensive Review on AIOT System for Medicine Dispensing and Wearable Health Monitoring," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2025.121044