Create your own computer vision application using AI on STM32
Join us for 1-hour webinar and learn how to easily run computer vision solutions on STM32.
This webinar was broadcasted Wednesday, June 2nd 2021
In this one-hour webinar followed by live Q&A, you will learn about the STM32Cube function packs that allow you to run AI computer vision applications on STM32 microcontrollers, such as the FP-AI-VISION1.
We will showcase several examples of computer vision applications based on Convolutional Neural Networks, including people-counting and facial recognition demos, and present the roadmap for edge AI computer vision on STM32 MCUs.
In this session, you will learn:
- how to benefit from the STM32Cube function packs for AI computer vision
- how to use the STM32Cube function packs based on practical examples
- what you can expect from future releases
- ST’s ecosystem for computer vision projects
- Vision package ecosystem
- Live demonstrations
- People counting demo
- Advanced vision models
- Face ID demo
- ST Services for vision projects
- Water meter demo
After the webinar, there will be a 15-minute Q&A session where our experts will be available to answer any questions.
Raphael Apfeldorfer is ST’s Marketing Manager responsible for Artificial Intelligence on STM32, bringing AI to the Deep Edge. Focusing on innovation in digital transformation, he has 20 years’ experience in the telecom and IoT industry, from broadband to LPWAN connectivity, security, and low-power applications.
Matthieu Durnerin joined ST in 2002 with a background in telecommunications and a PhD in Signal Processing. After leading several activities on cellular telecommunications, audio, sensor hub, and machine learning applications, he is now the head of the team responsible for Artificial Intelligence Applications, Algorithms and Tools in the Microcontroller and Digital ICs Group.
Bertrand Pineau is an STM32 Field Application Engineer for Central Europe and is involved in driving STM32 AI solutions across the EMEA region.