AI/ML platform leverages Microchip MPU

Edge Impulse announced that Microchip’s SAMA7G54 MPU is now fully integrated into its platform to enable easy training of ML models. The integration allows developers to build, train, and deploy machine learning models on edge devices powered by the SAMA7G54, particularly in camera-based applications.

Based on a single Arm Cortex-A7 core, the SAMA7G54 microprocessor features imaging and audio subsystems with 12-bit parallel or MIPI-CSI2 camera interfaces. It also offers dual Ethernet options and advanced security functions, including secure boot and hardware crypto accelerators. For edge AI applications, the SAMA7G54 supports camera-based edge machine learning tools like Edge Impulse’s Faster Objects, More Objects (FOMO) algorithm, which brings object detection to highly constrained devices, and image classification models.

Edge Impulse and Microchip expect their collaboration to streamline the creation of AI and ML models for edge hardware, accelerating the adoption of AI at the edge. For more information on integrating the Microchip SAMA7G54 with Edge Impulse, visit the Edge Impulse documentation here and Microchip’s documentation here.

Edge Impulse 

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