Presented by
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Software Engineer, NXP Semiconductors
NXPリファレンスデザイン・ライブラリ
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About This Training
Build advanced AI-enabled vision applications using the powerful i.MX 95 MPU and NXP’s vision pipeline tools.
This tutorial walks you through the process of developing and deploying AI/ML-based camera solutions using the i.MX 95’s high-performance vision pipeline. Learn how to leverage the eIQ® Toolkit, GStreamer, NNStreamer and Libcamera to integrate and accelerate AI inference across multiple hardware engines—CPU, GPU and NPU.
Explore real-time video streaming, image preprocessing, UltraFace face detection and neural network deployment using hardware-accelerated plugins. The tutorial also introduces libcamera for managing complex camera subsystems and demonstrates how to build intelligent applications using Linux BSPs and pre-trained models from the eIQ Model Zoo. Accelerate AI vision at the edge—start building with i.MX 95 today.
What You Will Learn
- How to build and deploy an AI-based vision pipeline using NXP’s i.MX 95 MPU
- How to integrate real-time face detection using UltraFace, NNStreamer and Gstreamer
- How to manage complex multi-camera subsystems with libcamera in a Linux environment
- How to accelerate ML inference across CPU, GPU and NPU using eIQ Toolkit and hardware-accelerated plugins
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