AI solution for reflow oven monitoring with Lacroix Electronics
Predictive maintenance applied to industrial ovens.
To optimize equipment maintenance, namely reflow ovens, Lacroix Electronics uses ST's Artificial Intelligence solutions. Currently deployed in the field, these predictive maintenance solutions can detect equipment changes with a high confidence rate before major failures occur.
We have used STMicroelectronicss NanoEdge AI Studio to develop a very promising preventive maintenance solution on our production sites. Our goal was in particular to optimize the maintenance of reflow ovens. Thanks to this expertise, LACROIX Electronics can now offer its customers distinctive solutions based on AI smart sensors leveraging STMicroelectronicss technology
Stephane Klajzyngier
Executing Managing Director at Lacroix Electronics
Approach
This solution can incrementally learn the normal behavior of industrial equipment and detect drift in real-time with a high level of accuracy in order to be able to perform maintenance before major failure. This is achieved thanks to the machine learning algorithm embedded on an Ultra-Low power STM32 microcontroller.
Sensor
Lacroix Electronics sensors.
Resources
Code optimized with NanoEdge AI Studio
A free AutoML software for adding AI to embedded projects, guiding users step by step to easily find the optimal AI model for their requirements.
Running on STM32
The STM32 family of 32-bit microcontrollers based on the Arm Cortex®-M processor is designed to offer new degrees of freedom to MCU users. It offers products combining very high performance, real-time capabilities, digital signal processing, low-power / low-voltage operation, and connectivity, while maintaining full integration and ease of development.
