On-demand Webinar: AI for asset tracking using only machine learning core in sensors

Register to watch our one-hour webinar in replay and learn about intelligent and ultra-low power asset tracking development with ST sensors and demo with ST Partner Qeexo.
  

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.

Recorded in 19th October 2021

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
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    Speakers

    Lisa Trollo

    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 Iaccarino

    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.

     

     
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