Getting our IMU sensors online has just become so much easier. Create your own innovations and simply order at our new worldwide distributor: Zenshin Technology Ltd is an online shop operating from Hong Kong. Have a look at our next generation IMUs and explore the optimized features of for example, the LPMS-CURS2 (9-axis motion sensor with USB, CAN bus and UART connectivity) or the LPMSs-CANAL2 (9-axis IMU with CAN connectivity and waterproof housing).
We proudly launched the next generation of our LPMS inertial measurement units developed for fast and accurate 3D orientation sensing. LP-RESEARCH supports a variety of communication interfaces and housing options at low cost. Let us tell you more about the optimized features:
- The new sensors are roughly half the size of the previous production, especially if you take a look at the new LPMS-B2.
- Performance has been greatly increased in terms of accuracy. The noise level is now one third of the previous version.
- Higher sampling rate: We were able to bring the sampling rate up to 400Hz.
- The new sensors feature more types of data output, for example humidity.
- Both LPMS-CANAL2 and LPMS-RS232AL2 are encased in a rugged aluminum housing and are waterproof up to 1m (IP67).
- The first generation comprised seven sensors, now we increased the line to nine with greater variety.
- Finally, thanks to a different manufacturing process, our new generation cost half or even less than half the price of the previous version.
Have a look at our LPMS product site over here.
Position tracking based on pure linear acceleration measurements is a difficult problem. To result in actual position values, linear acceleration (i.e. data from an accelerometer minus gravity) needs to be integrated twice. If there is only a minimal bias on the data of one of the tracked axes, the resulting position values will rapidly drift off.
Although it is well possible to increase the performance of such positioning information by sensor fusion with external reference signals (optical system, barometric pressure etc.), in many cases direct forward calculation of position from linear acceleration is required.
Lately we have been working on gradually improving our linear acceleration measurements in accuracy and tried to tune these measurements with various filters in order to gain relatively reliable displacement information.
The video below shows an exmaple of displacement tracking on the vertical axis using an LPMS-B device. Except for the sensor’s gyroscope, accelerometer and magnetometer, no external references have been used.