Designed and built a joystick-controlled magnetic field scanner equipped with an Anisotropic Magneto-Resistive (AMR) sensor and Hall-effect trigger. This project involved the integration of real-time embedded systems, mechanical joystick control, and spatial data acquisition which enabled 3D magnetic field mapping.
The system featured automated grid scanning, trigger-based sampling, and a Python visualization tool for live rendering of spatial magnetic data. Using a Hall-effect sensor to synchronize scans and an AMR sensor for fine-resolution field measurements, the device mapped magnetic flux distributions with millimeter precision.
The project was awarded 3rd place in the Bosch SensorTec competition at the MMM-Intermag 2025 Conference, showcasing real-time magnetometry capabilities in a portable setup. This effort emphasized multidisciplinary integration across embedded systems, signal processing, and visualization software.
GitHub Repository: https://github.com/CanAfacan/Magnetic-Field-Scanner-Project