STMicroelectronics & Lacroix Group were on my radar the other day.
Akida could be in ovens monitoring the fan or in people flow detectors.
Case study 1: AI solution for people counting sensor
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.
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Case study 2: Low-power predictive maintenance + AI at the Edge
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.
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Artificial Intelligence @ ST
STM32Cube function pack for high performance STM32 with artificial intelligence (AI) application for Computer Vision.
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Artificial Intelligence (AI) condition monitoring function pack for STM32Cube.
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STM32Cube function pack for ultra-low power IoT node with artificial intelligence (AI) application based on audio and motion sensing.
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Give your product an Edge
Simple, fast, optimized. Our extensive solutions
for embedded AI.
A set of tools to enable Edge AI
on STM32 MCU, MPU and smart sensors
Embedded AI can improve many solutions in a simple, fast, and cost-effective way.
Predictive maintenance, IoT products, smart buildings, asset tracking, people counting and more.
Learn how these applications can become smarter by making data meaningful with machine learning!
stm32ai.st.com
stm32ai.st.com
stm32ai.st.com
Customers:
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Free SW tools to embed Machine Learning on STM32 MCU and MPU. Edge AI can improve your product in a simple, fast, and cost-effective way.
stm32ai.st.com