使用 Edge Impulse 在处理器上部署嵌入式视觉解决方案.pdf

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1、Deploy Your Embedded Vision Solution on Any Processor Using Edge ImpulseAmir Sherman Senior Director Global Business Development Semiconductors&Eco Partners Edge Impulse From cloud AI to edge AI/ML to endpoint AI2 2023 Edge Impulse Cameras are everywhere3 2023 Edge Impulse What is the“best/right”tec

2、hnology?4 2023 Edge Impulse But it is all so complex!5 2023 Edge Impulse The leading embedded ML platform for any technology Edge Impulse 6 2023 Edge Impulse Typical development of EdgeML applications7 2023 Edge Impulse Requires 20+man years,expertise in ML and embedded to build the infrastructure a

3、nd integrate dozens of different tools.Develop EdgeML applications with Edge Impulse8 2023 Edge Impulse An end-to-end platform for projects using any data or device,built for developers with MLOps infrastructure built-in.Some of the semiconductors&IPs we support 9 2023 Edge Impulse How it looks?10BY

4、OM-Bring Your Own Model 11 2023 Edge Impulse 12 2023 Edge Impulse Technology Examples 13 2023 Edge Impulse 14 2023 Edge Impulse AI/ML capabilities of the EFR32MG24 with MVP Bringing machine learning(ML)to IoT applications reduces bandwidth requirements,saves power,and increases a devices ability to

5、make smarter decisions.Silicon Labs supports machine learning in all Series 1 and Series 2 wireless SoCs including newly released BG24 and MG24 products with built-in AI/ML hardware accelerator.The MVP accelerator is a co-processor designed to perform matrix and vector operations.Using hardware acce

6、lerated kernel implementations will reduce neural network inference time,as well as off-load the main processor to allow it to perform other tasks or go to sleep.14 2023 Edge Impulse AI/ML capabilities of the EFR32MG24 with MVP Bringing machine learning(ML)to IoT applications reduces bandwidth requi