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NXP MPU Vison Pipeline: Deploying AI-Driven Vision on i.MX 95

NXP MPU Vison Pipeline: Deploying AI-Driven Vision on i.MX 95

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.

Presentation

NXP MPU Vison Pipeline: Deploying AI-Driven Vision on i.MX 95

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

Presented by

Alexi Birlinger

Software Engineer, NXP Semiconductors

DURATION

22 min

LANGUAGE

English

SKILL LEVEL

Intermediate

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Additional Resources

eIQ® AI Software Development Environment

AI and Machine Learning Training Academy

Embedded Vision

eIQ® Toolkit for End-to-End Model Development and Deployment

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