FOO ANGELINA SJKC Mak Mandin
This project presents the development of an autonomous patient transport robot model designed to improve logistical efficiency in hospital environments, directly supporting the objectives of Sustainable Development Goal 3 (Good Health and Well-being). The system's mobility is driven by an ESP32 microcontroller integrated with infrared (IR) sensors, enabling reliable line-following navigation along predefined ward routes. To facilitate intelligent routing and task execution, a front-mounted ESP32-CAM captures environmental QR codes. These captured images are transmitted wirelessly to a central computer, where Python and OpenCV are utilized to rapidly decode the embedded navigational commands. The entire hardware and software ecosystem is seamlessly networked using the lightweight MQTT messaging protocol, ensuring real-time, bidirectional communication between the edge devices and the central server. By automating routine physical transfers, this robotic prototype aims to optimize ward operations, reduce the physical workload on healthcare staff, and enhance overall patient care delivery.
