We developed an intelligent Raspberry Pi–based scanning device that automatically detects, tracks, and aligns patient body parts inside an X-ray machine. The system improves positioning accuracy, reduces manual adjustments, and enhances workflow efficiency in radiology environments.

This solution combines embedded systems engineering, computer vision, AI-based object detection, motor control, and sensor fusion into a compact, production-ready device.

Purpose

- Detecting patient body parts in real time

- Tracking movement dynamically

- Automatically controlling motors to align X-ray positioning

- Improving imaging accuracy and reducing technician workload

System Architecture

- AI & Computer Vision Engine

- Embedded Firmware Stack

- Hardware Components

Results & Impact

- Improved X-ray positioning accuracy

- Reduced manual calibration time

- Faster imaging workflow

- Compact and cost-effective solution

- Fully embedded standalone system