AI for asset tracking using only machine learning core in sensors
Join us for 1-hour webinar on intelligent and ultra-low power asset tracking development with ST sensors and demo with ST Partner Qeexo
Tuesday, October 19th 2021
Intelligent asset tracking is a powerful emerging market in transportation, and ST sensors with machine learning core can implement the decisions necessary for viable and sustainable AI-based solutions. Using our wireless IoT wearable node (SensorTile.box) and Qeexo AutoML software, you can build decision tree algorithms for our sensors without writing a single line of code.
Why you should watch
We explore the machine learning core engine in the LSM6DSOX 6-axis inertial module and explain how you can build intelligent asset tracking logic into this highly optimized, ultra-low power sensor with minimal effort. We will show you the steps you need to follow using ST solutions to quickly develop your market innovation ahead of time.
At the end of the webinar, you will know how to proceed with your own use case solution using ST deliverables and our guides.
- Artificial Intelligence and Machine Learning
- Sensors with machine learning core
- How to easily build and embed an ML algorithm
- ST ecosystem for MLC sensors
- Intelligent asset tracking applcation example with Qeexo AutoML
There will be a live Q&A session at the end of the webinar where ST's experts will be available to answer your questions.
This webinar will be broadcast twice, at convenient times for international audiences. Please review the times listed below and register for the most appropriate option for your time zone.
- EMEA session: October 19th, 2021 at 9:00 am CEST
- Americas session: October 19th, 2021 at 2:00 pm EDT
Lisa has made several significant consumer, automotive and industrial market contributions since joining the AMS Group MEMS and Sensors Division in 2012, including heavy involvement in the deployment of IMU products for the massive smartphone market. Since 2020, she has been managing the Artificial Intelligence ecosystem and strategy and roadmaps for the MSD Division.
Federico Joined ST as validation engineer for MEMS sensors in 2015, where he developed expertise in HW applications, validation systems and validation methodologies for inertial sensors (accelerometers, gyroscopes, and modules). Since 2021, Federico is part of the production marketing team for MEMS sensors.
The LSM6DSOX high-performance 3D accelerometer and 3D gyroscope with embedded Machine Learning Core features state-of-art design and calibration for superior accuracy, stability, and power efficiency in sustainable low-power edge-to-edge AI nodes.