← Back to Publications List

A Medical Vending Machine with An Intelligent Inventory Management

Students & Supervisors

Student Authors
Antony Ghosh Arthey
Bachelor of Science in Electrical & Electronic Engineering, FACULTY OF ENGINEERING
Apurba Joty Roy
Bachelor of Science in Electrical & Electronic Engineering, FACULTY OF ENGINEERING
Md. Hasibul Hasan
Bachelor of Science in Electrical & Electronic Engineering, FACULTY OF ENGINEERING
Md. Salehin Islam Nabil
Bachelor of Science in Electrical & Electronic Engineering, FACULTY OF ENGINEERING
Supervisors
Dr. Ebad Zahir
Senior Assistant Professor, Faculty, FACULTY OF ENGINEERING

Abstract

Access to essential healthcare products is often limited, particularly in underserved or rural areas, where pharmacies are closed outside regular hours. This lack of availability can lead to delays in obtaining critical over-thecounter medications and first-aid supplies, negatively impacting public health. To address this challenge, an automated Medical Vending Machine (MVM) integrated with an IoT-based inventory management system is proposed. The MVM provides 24/7 access to essential healthcare products through a secure multi-modal payment platform that supports cash, RFID-based cards, and mobile banking. Payment validation is enhanced with computer vision using the ORB algorithm, ensuring accurate recognition of banknotes. An ESP32-based IoT module facilitates real-time inventory monitoring, enabling automatic restocking alerts. The hardware prototype demonstrates reliable note recognition with approximately 90% accuracy, secure product dispensing via stepper and servo motors, and seamless IoT connectivity. This system not only improves access to healthcare products but also offers a cost-effective solution by minimizing waste and operational expenses through intelligent inventory management. The MVM aligns with Sustainable Development Goals (SDGs) by enhancing healthcare accessibility, supporting responsible consumption, and providing a scalable model for decentralized healthcare distribution, particularly in high-traffic areas and regions with limited medical infrastructure

Keywords

Medical Vending Machine IoT Inventory Management Raspberry Pi ESP32 Healthcare Accessibility

Publication Details

  • DOI: 10.1109/ICCIT65724.2025
  • Type of Publication:
  • Conference Name: International Conference on Creative Communication and Innovative Technology (ICCIT)
  • Date of Conference: 19/12/2025 - 19/12/2025
  • Venue: Long Beach Hotel, Cox’s Bazar, Bangladesh
  • Organizer: IEEE-Dr. M. Imamul Hassan Bhuiyan
View on Publisher