On-demand Webinar: Sensors and Solutions for Smart Industry applications

 

Watch the on-demand webinar to explore the challenges of Industry 4.0 and learn how to build a complete sensor-to-cloud application using advanced industrial-grade sensors.

In this webinar we discuss today's diverse sensing technologies and how they can be applied to condition monitoring, and introduce you to the newest addition to our SensorTile family of form-factor sensor development kits - the SensorTile Wireless Industrial Node (STWIN).

The STWIN is a development kit and reference design that simplifies prototyping and testing of advanced industrial IoT applications such as condition monitoring and predictive maintenance.

The session covers how to use the STM32Cube function pack in industrial predictive maintenance applications for early detection of potential failures, and how to connect the STWIN kit to the Predictive Maintenance Dashboard, a cloud application built with AWS services. The dashboard provides a highly functional and intuitive interface tailored for the collection, visualization and analysis of condition monitoring data from motion and acoustic vibration sensing elements, as well as temperature and other environmental data.

You will learn:

  • How to benefit from ST's latest sensor technologies in industrial applications
  • How to capture, process and store sensor data in a cloud application
  • How the SensorTile Wireless Industrial Node (STWIN) can facilitate rapid proof-of-concept validation
 
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Speaker

Ernesto Manuel Cantone is Product Marketing Manager for MEMS and Sensors in the Americas. Starting his career as a mixed-signal IC designer, he has promoted ST's complete IoT ecosystem to help developers succeed in Smart Industry, Smart City, Smart Home and Smart Things and to ensure that ST offers the latest Cloud, Connectivity, and Sensor Fusion building blocks for these markets. Manuel has also covered key roles developing and promoting ST products for data centers. He earned his M.S. in Electrical Engineering from the Universita' di Pisa, Italy.