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NXP MCU Vison Pipeline: Deploying AI at the Edge with i.MX RT700

NXP MCU Vison Pipeline: Deploying AI at the Edge with i.MX RT700

About This Training

Learn how to deploy optimized AI vision based applications on NXP microcontollers using the MCU Media Processing Pipeline.

This hands-on tutorial walks you through the complete setup and execution of a real-time face detection demo on the i.MX RT700, showcasing NXP’s optimized MCU Vision Pipeline.

Whether you’re evaluating TinyML performance or building complex multi-modal AI systems, this tutorial will give you the tools and knowledge to prototype effectively on NXP MCUs.

This session goes through the NXP SafeAssure product portfolio. We will guide you through the NXP website to show you how to find the best product choice for your application and desExplore the future of intelligent edge vision—start your tutorial today.

Presentation

NXP MCU Vison Pipeline: Deploying AI at the Edge with i.MX RT700

What You Will Learn

Step-by-step guidance to implement face detection using TFLite and UltraFace UltraSlim models
How to leverage NXP’s eIQ® toolkit, MPP API, and camera/display pipeline
Real-world MCU vision use cases with multi-branch data flow and callback integration
The power of the i.MX RT700 crossover MCU with up to 172x faster ML throughput using NXP’s ML acceleration features

Presented by

Chiraz Rayene Harkati

Computer Vision Engineer, NXP Semiconductors

DURATION

27 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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