Sept. 03, 2025 –
It’s becoming outrageously expensive not to track assets and monitor people’s safety, especially when a device like the GPS-Buddy RFID-Tag, from the company GPS-Buddy, can provide so much more information than just a location on a map. Equipped with an LIS2DUX12 accelerometer from ST, it can track much more data than geographical location, such as the operation of a motor, a person’s activities, and more, thanks to an implementation that leverages our sensors and our MEMS-Studio software.
It thus opens up the GPS-Buddy RFID Tag to numerous use cases and helps future-proof its design. The tracker can even collect and label training data to build new machine learning algorithms and leverage innovative AI capabilities. Put simply, GPS-Buddy is asset tracking for those who need to track much more than just assets.
Too often, companies use assets that are hard to track. Many tools don’t use a battery or power, and even those that do may not have the space to accommodate a large tracker, or could route that power to a wireless radio. Additionally, some with motors or generating strong vibrations can disrupt regular trackers. The idea of asset tracking is far from new. Even tracking assets using a GPS is not an original idea, and avid readers of the ST Blog will remember that we featured an ST solution featuring TomTom in 2018. Yet, many companies don’t opt for a GPS tracker because they tend to be large, costly, and power hungry.
To overcome many of these challenges and make GPS asset tracking more ubiquitous, the GPS-Buddy RFID-Tag settled, in part, on the LIS2DUX12. Thanks to its high-g 10,000g shock survivability, it can withstand the most rugged environments. Additionally, its small package (2 mm x 2 mm) and low power consumption (between 3 µA in ultra-low power mode and 9.3 µA in high-frequency/high-performance mode), means that the tracker is small enough to fit on a wide range of tools, while its small battery can last years in the field. Moreover, GPS-Buddy also offers a web-based dashboard, allowing companies to utilize their existing cloud infrastructure, thereby further reducing development and operating costs.