How to deploy the ML model in customized Boards

Question/Issue: how to deploy the ML model in customized Boards.

Project ID:

Context/Use case: I am using Edge Impulse for data collection and model training for applications like speech and gesture recognition. How can I deploy the trained ML models on customized boards, modify deployment files, integrate the SDK, and handle custom sensors and peripherals for effective deployment?

Hello @mukeshinnotrat,

This page should provide a good understanding at our C++ inferencing SDK so you can integrate it with your custom application:

What custom board are you planning to use? an MCU-based? If so, which architecture/silicon?



MCU based. In specific, we are using STM32 ARM Cortex M4.