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Design Center
Training
AI at the Edge: Implementing ML and Embedded Vision Applications

AI at the Edge: Implementing ML and Embedded Vision Applications

About This Training

How can you implement machine learning (ML) and embedded vision applications? We will introduce the concept of artificial intelligence (AI) on edge computing and show how to unlock ML and embedded vision applications in a PHYTEC hardware based on NXP's processor technology. Thanks to the celebrity facial recognition demo, you will know more about how feasible it is to run AI applications on a neural processing unit and learn more about the several numerical libraries in Python, written in conjunction with NXP eIQ^® infrastructure.

In short, this webinar will guide you through ML applications and turnkey solutions for face and object recognition.

PHYTEC will provide complementary project workshop that consists of individual consultation with experts for two hours on each topic like AI, Embedded Imaging, Security and Device management that is tailored to the need of your project to registrants. For more details, please contact sales@phytec.de

What You Will Learn

Get an overview of NXP’s i.MX product portfolio with a focus on the new i.MX 8 family
View a step-by-step demo of how to use facial recognition algorithms to train a CCN Network using pictures of celebrities to detect what celebrity you most look like
Learn to capture image data through MIPI cameras and process using OpenCV library
Learn to do LBP classifications for object recognition and how to use ResNet50 or MobileNetV2 networks to extract embeddings
Explore predictive maintenance, how and why ML will help to improve product functionality

Presented by

Yves Astein
Product Manager, PHYTEC Messtechnik GmbH
Dr.Jan Werth
Data Scientist, PHYTEC Messtechnik GmbH
Bosco Jung
MPU Partner Program and Marketing Manager, Edge Processing Business Line, NXP Semiconductors

DURATION

57 min

LANGUAGE

English

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Additional Resources

phyCORE^®-i.MX 8M Plus

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