Design of magnetic field sensor with software for a wide range of applications




hall effect, sensor, magnetic field, calibration, software


The abstract of the paper outlines a highly efficient wirelessly magnetic field-based information transmission method, enabling real-time data acquisition. Emphasizing stringent demands on magnetic devices for high sensitivity across a wide range of field strengths, it highlights the need for rapid response times and minimal power consumption. The paper introduces a prefabricated magnetic sensor programmed on an Arduino board using Hall’s Effect. This principle exploits electron transfer within a conductor under a magnetic field, inducing a transverse potential difference. Meticulously chosen solid-state materials and geometries generate detectable pulses, subsequently amplified for measuring various magnetic field components. Operating within a voltage range of 2.7-6.5V, aligned with the Arduino's 5V standard, the sensor demonstrates zero signal levels at 2.25-2.75V. Sensitivity ranges from 1.0-1.75 mV/gauss, mandating pre-calibration for accuracy, facilitated by a pre-calibration function or reset button. Output voltage ranges from 1.0-4.0V when powered by 5V, suitable for analog-to-digital conversion. With a minimum measurement range of ±650 gauss, typically extending to ±1000 gauss, and a swift response time of 3 ms, the sensor allows measurements up to tens of kHz. Operating currents between 6-10 mA are suitable for battery-powered applications, while a temperature-induced error of 0.1%/°C equates to 3 mT. Notably, the sensor measures magnetic fields along and perpendicular to the axis. To enhance accessibility and accuracy, a specialized Python-based software tool has been developed, featuring automatic sensor identification. This abstract encapsulates the paper's focus on advancing magnetic field measurement technology with practical implications for diverse applications.


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Author Biographies

Ruslan Kalibek, Faculty of Engineering, Süleyman Demirel University, 1/1 Almatinskaya st., Almaty, Kazakhstan

Master Student 

Daria Sopyryaeva, Institute of Physics, Technical University of Berlin, 17 Straße des, Berlin, Germany

MSc, Academic Associate


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How to Cite

Kalibek, R., & Sopyryaeva, D. (2024). Design of magnetic field sensor with software for a wide range of applications. Technobius Physics, 2(1), 0008.