Microchip provides a full-stack edge AI platform for developing and deploying production-ready applications on its MCUs and MPUs. These devices operate at the network edge, close to sensors and actuators, enabling deterministic, real-time decision-making. Processing data locally within embedded systems reduces latency and improves security by limiting cloud connectivity.

The full-stack application portfolio includes pretrained, production-ready models and application code that can be modified, extended, and deployed across target environments. Development and optimization are performed using Microchip’s embedded software and ML toolchains, as well as partner ecosystem tools. Edge AI applications include:

• AI-based detection and classification of electrical arc faults using signal analysis
• Condition monitoring and equipment health assessment for predictive maintenance
• On-device facial recognition with liveness detection for secure identity verification
• Keyword spotting for consumer, industrial, and automotive command-and-control interfaces

Microchip is working with customers deploying its edge AI solutions, providing model training guidance and workflow integration across the development cycle. The company is also collaborating with ecosystem partners to expand available software and deployment options. For more information, visit the Microchip Edge AI page.

Microchip Technology 

The post Microchip empowers real-time edge AI appeared first on EDN.