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Introducing evaluation methods using NXP processor evaluation boards WEB content currently being serialized
NXP offers a variety of processors including i.MX 6/7, i.MX 8, and the latest i.MX 9. (List of main lineup)
Board Support Packages (BSP) for Arm Coretex-A provided by NXP are
There are "Embedded Linux", "Android", "Android Automotive", and "Windows 10 IoT Enterprise".
We provide easy-to-understand explanations in Japanese on how to verify using evaluation boards. Please access them from the list below.
Reference NXP site link
i.MX Software and Development Tools | NXP Semiconductors
NXP GitHub | NXP Semiconductors
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1 - i.MX8M Plus EVK |
The NXP 8MPLUSLPD4-PEVK Power Measurement Evaluation Kit provides a platform for comprehensive evaluation of the i.MX 8M Plus processor. There are several Yocto Linux BSP images available for the evaluation kit. This time, we will introduce the steps to demonstrate machine learning using a Yocto Linux BSP image that includes a package of machine learning functions. |
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| The 8MPLUSLPD4-PEVK power measurement evaluation kit is equipped with hardware for measuring the power consumption of the i.MX 8M Plus processor, so we will introduce the procedure for measuring power consumption using the BCU (Board Control Utilities). | |
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3 - i.MX8M Plus EVK |
The Yocto Linux BSP image, which includes the machine learning function package, also implements a machine learning inference environment using the GStreamer Plugin. This time, we will run a Posenet demo using pipeline processing with GStreamer. |
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4 - i.MX8M Plus EVK |
The Yocto Linux BSP image that contains the machine learning functionality package also implements the TensorFlow Lite delegate. This makes it possible to perform inference using the TensorFlow Lite Runtime API in Python, so we will try running a demo of Object Detection using the quantized model mobilenet_ssd_v2_coco_quant_postprocess.tflite. |
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5 - Hailo-8 as an AI accelerator |
This article introduces how to build an AI system by connecting Hailo-8 to the host CPU i.MX8M Plus as an AI accelerator. Two versions are available: Ubuntu OS and Yocto Linux OS. If you are interested in the edge AI system that combines i.MX8M Plus and Hailo products, please take a look. |
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ADLINK offers a variety of pre-built OS images for the SMARC LEC-IMX8MP based on NXP’s i.MX8M Plus. Unfortunately, however, they do not offer a pre-built OS image for Yocto with machine learning capabilities.
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To access NXP-related documents, you will need to register for My NXP. Please refer to the following website to register.
NXP Semiconductors' My NXP registration benefits and registration method -Macnica (macnica.co.jp)
NXP processor beginner guide summary site
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