ROBOTIC DEXTROSE STAND USING ESP32 AND ARDUINO MEGA WITH HUSKYLENS TRACKING AND BMS REGULATOR

Abstract

The Dextrose Stand is a crucial medical apparatus used during intravenous (IV) therapy, enabling efficient delivery of dextrose solutions to patients. However, traditional stands require manual handling by nurses or patients, increasing the risk of falls and IV line disconnections. This study, titled "Robotic Dextrose Stand Using ESP32 and Arduino Mega with HuskyLens Tracking and BMS Regulator," introduces an automated solution that follows the patient using AprilTag technology, allowing for safer and more independent movement within medical facilities. It is also equipped with real-time IV fluid monitoring, reducing the need for manual checks and easing the workload of healthcare providers. The researchers adopted the Experimental Prototyping Method, which involves creating a functional prototype to test a specific hypothesis. This approach allows for the evaluation of the concept’s feasibility and effectiveness prior to full-scale production. By identifying design flaws and usability concerns early in the development process, this method minimizes the risk of costly errors and ensures a more refined and user-centered final product. The Robotic Dextrose Stand, developed using ESP32 and Arduino Mega with HuskyLens Tracking and a BMS Regulator, is a functional prototype designed to support patients during intravenous therapy and reduce nurses’ workload. The integration of advanced microcontrollers and sensors enables autonomous movement and real-time IV fluid monitoring. Evaluation results showed high ratings in efficiency, sustainability, safety, and cost-effectiveness. The study concludes that the combined use of Arduino Mega and ESP32 is effective in ensuring the reliability and functionality of the robotic dextrose stand. The Robotic Dextrose Stand using ESP32 and Arduino Mega with HuskyLens Tracking and BMS Regulator demonstrates a meaningful advancement in IV solution administration. Through the integration of automation and tracking technology, the system significantly improves patient mobility and reduces manual workload for healthcare providers. Its human-tracking feature enables patients to move more freely without compromising IV connectivity, while nurses benefit from reduced routine monitoring tasks. This innovation underscores the potential of technology to enhance healthcare delivery, streamline processes, and improve both patient outcomes and caregiver efficiency.