By performing edge processing in smart sensors or gateways, the system saves power and ensures data confidentiality, enabling companies to quickly analyze critical information at the node level and reduce anomaly detection time.
Our solution
STMicroelectronics offers a wide range of STM32 microcontrollers (based on Arm) ® Cortex ® M0-M7 meets various market demands. Thanks to STM32Cube The AI framework and extensive partner ecosystem simplify the implementation of predictive maintenance algorithms on MCU and MPU edge devices, and STM32 products can be effectively used to develop embedded AI solutions. STM32Cube.Ai supports multiple deep learning frameworks and includes optimized libraries for mapping and running pre trained artificial neural networks on a wide range of STM32 microcontroller products.
Product Advantages
- Confidentiality: The system does not send data to the cloud, but stores it on local devices.
- Cost reduction: Significantly optimized the latency and throughput of a large amount of time-series asset data. Reducing the amount of useless machine data sent and stored in the cloud will bring significant benefits, as it can support real-time distributed applications and eliminate the need for complex systems.
- Lower latency: Minimizing equipment maintenance delays is crucial for critical task assets.Our long-term good cooperation with manufacturers can provide you with a range of product kits that you need.
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