DESIGN AND IMPLEMENTATION OF AN FPGA-BASED INTELLIGENT MEDICAL ASSISTANT ROBOT WITH SAFETY CONTROLLER AND OPERATION COUNTER
Keywords:
FPGA, Xilinx Vivado, Verilog HDL, Intelligent Medical Assistant Robot, Safety Controller, Operation Counter, Barcode Recognition, Stereo Vision, Robotic Arm Control, Smart Healthcare, Medicine Identification.Abstract
The need for intelligent robotic systems that can promote patient safety, decrease human intervention, and improve hospital efficiency has increased due to the quick development of smart healthcare technologies. In order to enhance the dependability and operational monitoring of automated medicine handling systems, this work describes the design and implementation of an FPGA-based Intelligent Medical Assistant Robot integrated with a Safety Controller and a Operation Counter. The Xilinx Vivado Design Suite is used to implement the suggested architecture, which was created using Verilog Hardware Description Language (HDL). For effective drug identification and delivery, the system combines image acquisition, RGB565 to YUV color conversion, Sobel edge detection, barcode recognition, stereo vision-based distance estimate, robotic arm control, PID-based motor control, sensor fusion, and UART communication. In contrast to traditional FPGA-based medical assistant robots, the suggested design incorporates a Safety Controller that, prior to beginning medicine handling, checks barcode validity, object detection, allowable distance, and robot idle status. This prevents false triggering and needless robotic movements. Every properly finished medication delivery activity is also recorded by the Operation Counter, which provides useful operational statistics for upkeep, diagnostics, and performance tracking. Multiple processing modules can be executed in parallel thanks to the modular and pipelined hardware architecture, which lowers processing latency, uses hardware resources efficiently, and uses less power while retaining real-time performance. The accuracy and dependability of the suggested design are confirmed by functional simulation and synthesis results produced with Xilinx Vivado. With little additional hardware overhead, the redesigned architecture shows stronger monitoring capability, better system synchronization, and improved operational safety. For contemporary smart hospitals, automated pharmacies, medical labs, and other healthcare settings needing dependable and real-time medication handling, the suggested FPGA-based intelligent medical assistant robot offers an effective, scalable, and affordable solution.
