Smart Medicine Dispensing Robot
Keywords:
Smart Medicine Dispenser, Medication Adherence, Healthcare Robotics, ESP32Microcontroller, Automated Drug Delivery, IoT-based HealthcareAbstract
The Smart Medicine Dispensing Robot is proposed as an automated healthcare support system intended to assist patients in managing prescribed medications accurately and on time. Medication non-adherence is a common issue among elderly individuals and patients with chronic illnesses due to memory lapses, physical limitations, and insufficient supervision, which can result in skipped doses or improper intake. To overcome these challenges, the developed system delivers medicines automatically according to a predefined schedule, provides timely alerts, and ensures precise dosage delivery to the user, thereby enhancing treatment compliance and patient safety. The system combines embedded control, sensing technologies, and IoT-based communication to form an efficient and interactive medical assistant. An ESP32 microcontroller serves as the core processing unit, coordinating servo motors for controlled dispensing, IR sensors for obstacle detection, and a voice recognition module for user interaction. Additional features such as a display unit, audio notifications, and an integrated water dispensing mechanism improve usability, particularly for users with reduced mobility. The modular architecture and economical design allow the system to be deployed in both domestic and clinical settings, with provisions for remote supervision and future expansion. Phase-1 development focuses on circuit design, simulation, and hardware integration to verify system functionality through virtual testing. The obtained results indicate that the proposed model is feasible, cost-effective, and capable of automating medication delivery reliably. Further development will include real-time implementation, IoT integration, and clinical evaluation to validate performance under practical conditions. Overall, the Smart Medicine Dispensing Robot aims to support independent patient care by integrating automation with essential healthcare assistance.
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