MEMS Tech with STM32 Cortex MCUs

In recent years, the field of measurement instruments has seen significant advancements, particularly with the integration MEMS sensors and STM32 controllers.

 We use MEMS technology, characterized by miniaturized mechanical and electro-mechanical elements, to develop sensing and measurement instruments. MEMS sensors, including accelerometers, gyroscopes, pressure sensors, and microphones, offer high sensitivity, low power consumption, and small form factors, making them ideal for integration into various tools, like IMUs, thermometers, portable weather stations, and many more. On the other hand, the STM32 family, are renowned for their low power consumption, high performance, and rich peripheral integration. These processors provide the computational power and flexibility required to process data from MEMS sensors efficiently, enabling real-time analysis and control in measurement applications.

These processors provide the computational power and flexibility required to process data from MEMS sensors efficiently, enabling real-time analysis and control in measurement applications.

The integration of MEMS technology with STM32 ARM Cortex-M processors offers numerous key advantages, like small size of the device, very low power consumption, high performance, cost efficiency, and versatility.

We offer comprehensive services encompassing both software and hardware development for instruments tailored to meet our clients' specific requirements.

The products of Mebius company offer several key advantages, including sensor fusion capabilities and advanced mathematical algorithms. Sensor fusion, the process of combining data from multiple sensors to improve accuracy and reliability, is facilitated by the simultaneous use of various MEMS sensors within the measurement instrument. By fusing data from accelerometers, gyroscopes, and other sensors, along with sophisticated signal processing techniques implemented through STM32 RISC processors, our measurement instruments can provide more comprehensive and precise insights into the physical phenomena being measured. The utilization of mathematical concepts like the Kalman filter further enhances the accuracy of measurements by dynamically estimating and compensating for noise, bias, and other sources of error in sensor data. This integration of MEMS technology, STM32 processors, and advanced mathematical algorithms empowers  our measurement instruments to deliver reliable and high-fidelity data for a wide range of applications, from automotive systems to industrial automation and beyond.