TinyML is opening up incredible new applications for sensors on embedded devices, from predictive maintenance to asset tracking applications using vibration, audio, biosignals, and much more! 99% of sensor data is discarded today due to power, cost, or bandwidth constraints. Together, STMicroelectronics & Edge Impulse are giving your Edge a new TinyML brain.
Getting started with TinyML for industrial applications with Edge Impulse on STM32:
Sign up for a free account and work along during the webinar.
Activity detection features extracted from 3-axis acceleration on Edge Impulse. We will train a similar gesture recognition algorithm during this webinar!
Learn how TinyML integration in STM32 ecosystem enables simple generation of FW embedding signal processing, Machine Learning and Neural Networks.
Problems Edge Impulse and ST can solve with TinyML and the role of signal processing.
Hands-on demonstration of the entire process: sensor data capture, feature extraction, model training, testing, and deployment to any device.
About the ST IoT Discovery Kit
The ST IoT Discovery Kit (also known as the B-L475E-IOT01A) is a development board with a Cortex-M4 microcontroller with ultra low power STM32L4, MEMS motion sensors, a microphone, and WiFi - and it's fully supported by Edge Impulse. You'll be able to sample raw data, build models, and deploy trained neural networks directly from the studio.
Jan is an open source developer and technology evangelist working on TinyML as the CTO of Edge Impulse. Over the past years he has gone up and down the stack, from embedded to web, and everything in between. Jan is a strong believer of open source, and has written thousands of patches for open source projects, including Mozilla Firefox OS, JerryScript (embedded JS runtime), Arm Mbed.
Raphael is responsible for Artificial Intelligence Marketing in the microcontroller division of STMicroelectronics. He is working on solutions bridging the gap between embedded developers and Machine Learning to bring intelligence onto low-power IoT devices. In his previous roles, he worked for 20 years in Telecom and IoT industries, with a focus on mobile broadband and LPWAN connectivity, security, and low-power applications.