Embedded AI and Edge Computing Solutions for Smart Industry Applications from ST

The large range of the STM32 family of 32-bit microcontrollers and processors - based on industry-standard Arm® Cortex® cores - combined with the usage of embedded AI libraries and MEMS and sensors with embedded machine learning capabilities offer new degrees of freedom to designers of smart industry applications.

Condition Monitoring & Predictive Maintenance

Condition monitoring tracks the working conditions of equipment, such as the vibrations coming out of a motor or fan. Engineers characterize a normal behavior, and the system throws an alert if sensors detect abnormal values which helps to anticipate an upcoming failure.

Predictive maintenance goes a step further by offering a more complex data analysis system using a neural network trained to more accurately forecast issues instead of just relying on thresholds.

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AI & Edge Computing

AI enables much more efficient end-to-end solutions when the analysis traditionally done in the cloud is moved closer to the sensors and what's being monitored. This distributed approach significantly reduces both the required bandwidth for data transfer and the processing capabilities of cloud servers, leveraging modern computing capabilities at the edge. It also offers user data sovereignty advantages, as personal source data is pre-analyzed and provided to service providers with a higher level of interpretation.

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Robotics & Motion Control

Robots and manipulators are key to help increase productivity and relieve humans from heavy, repetitive, and dangerous tasks. Used locally – within a factory – and connected globally, they are the centerpiece of the 4th industrial revolution, or Industry 4.0.

 

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 Learn more about STSPIN800 Series - Motor drivers for low-to-mid power applications.

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