Extract of the video Making buildings smarter is one of the big challenges of today's companies to improve their efficiency. The people flow counting sensor developed by Schneider Electric in partnership with STMicroelectronics enables the counting of the number of people. It also detects whether they are crossing a virtual line in both directions, using a large field of view and a small resolution thermal sensor.
This prototype can count in real-time and with a high level of accuracy the restaurant's attendance, while running on the standard STM32 microcontroller. This is achieved thanks to the artificial intelligence algorithm embedded on the STM32 microcontroller and the use of a thermal infrared technology.
ST partners up with Schneider Electric: people flow counting sensor leveraging STM32CubeAI (3:24)
Download the PDF slide deck: AI solution for People Counting Sensor with Schneider Electric (using a thermal Imager)
Extract of the video Lacroix Group and its ecosystem are building the future of industrial electronics, in the design and production of industrial embedded systems and connected objects. At the heart of its smart industry strategy, Lacroix Electronics is now experimenting with predictive maintenance on its own assembly lines with the help of STMicroelectronics and its AI ecosystem.
The first trial of the condition monitoring technology is being done on the reflow oven of an automated line that solders component on PCB boards.
LACROIX Group Technology Predictive Maintenance in factory with ST Partner (5:11)
Download the PDF slide deck: Predictive maintenance at LACROIX Electronics (Oven fan monitoring using Machine Learning on STM32L4)
Download the AI extension for STM32CubeMX to map pre-trained Neural Networks
Download X-LINUX-AI, STM32 MPU OpenSTLinux Expansion Package that targets Artificial Intelligence for STM32MP1 Series microprocessors.
Download FP-AI-SENSING1, STM32Cube function pack for ultra-low power IoT node with artificial intelligence (AI) application based on audio and motion sensing.
Download FP-AI-VISION1, STM32Cube function pack for high performance STM32 with artificial intelligence (AI) application for Computer Vision.
Download FP-AI-NANOEDG1, Artificial Intelligence (AI) condition monitoring function pack for STM32Cube.
Neural Networks on STM32: Thanks to a new set of Artificial Intelligence (AI) solutions, you now have the possibility to map and run pre-trained Artificial Neural Networks (ANN) on STM32 microcontrollers…
Artificial Intelligence: Learn more about AI and how ST has been actively involved in AI research for many years…
SensiML, the End-to-End AI Toolkit for SensorTile.box: Is there a way to streamline the creation and validation of machine-learning algorithms at the edge? It's a question that ST Authorized Partner SensiML answered in a popular presentation during the Virtual…
Ask questions and get answers about STM32 Machine Learning & AI.
On-demand webinar: ST artificial intelligence solution for 32-bit MCUs: Thanks to concrete application examples, you will know more about running Artificial Neural Networks, how to use the STM32Cube.AI tool to convert Neural Networks into optimized code for STM32 MCUs.
(MOOC) Introduction to STM32Cube.AI: Learn how to use STM32CubeMX and X-Cube-AI tools to work with Neural Networks on STM32.