How to Build a Condition Monitoring Application with SensorTile Wireless Industrial Node
Learn to use ST's industrial development kit to easily create datalogging and predictive maintenance applications through machine learning techniques
Thursday, March 18th, 2021 | 2:00 pm Eastern Time
Join ST for a 1-hour webinar to discover the latest in multi-featured platforms for developing industrial applications—the SensorTile Wireless Industrial Node (STWIN) and associated software ecosystem.
The STWIN is a complete development kit and reference design that consists of environmental, motion, acoustic, and vibration sensing elements, with both wired and wireless connectivity options, that aims to accelerate prototyping and facilitate testing of advanced industrial IoT applications.
You will learn about the newly-released STM32Cube function packs designed to collect, store, and visualize sensor data, and facilitate development of industrial condition monitoring applications.
We will also cover how to move from condition monitoring to predictive maintenance solutions by introducing machine learning techniques, tools, and solutions from ST Partners Cartesiam and Qeexo.
You will learn:
- How to benefit from ST's latest sensor technologies in industrial applications
- How to log sensor data directly from a sensor node or through a cloud application
- Recommendations on ST tool and partners to use when employing machine learning techniques with ST development kits and products
There will be a live Q&A session at the end of the webinar where the speakers will be available to answer your questions.
There is no charge to participate in this event, but it is necessary to register through my.st.com.
|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.|
|Michael Hess is Applications Manager for the ST Americas Sensors to Cloud Team. Michael started his career as a telecom and networking tool design engineer, followed by roles in technical project management and technical support engineering at several semiconductor distributors. At ST, his career has included managing OEM/ODM and partner relationships for ST’s broad portfolio of MEMS sensors and microcontrollers. Michael earned his B.S. in Electrical Engineering from Manhattan College in NY.|
Not sure if you can attend the live session on March 18th? No problem! Register now and we'll be sure to email you the recorded webinar.
About the SensorTile Wireless Industrial Node (STWIN)
The STWIN SensorTile Wireless Industrial Node (STEVAL-STWINKT1B) features a core system board with a range of embedded industrial-grade sensors and an ultra-low-power Arm® Cortex®-M4 microcontroller for vibration analysis of 9-DoF motion sensing data across a wide range of vibration frequencies, including very high frequency audio and ultrasound spectra, and high precision local temperature and environmental monitoring.
The STEVAL-STWINKT1 supports Bluetooth® Low Energy wireless connectivity through an on-board module, and Wi-Fi connectivity through a special plugin expansion board (STEVAL-STWINWFV1). Wired connectivity is also supported via an on-board RS485 transceiver and USB.
The kit comes with a 480 mAh Li-Po battery and an STLINK-V3MINI debugger, and is housed in a plastic box.