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About this course
- Class Overview
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Syllabus & Downloads
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Introduction 2 min
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Introduction to the Edge Impulse® Toolset 6 min
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Introduction to the Lab Project 1 min
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LAB1: Data Collection 1 min
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LAB2: Data Labeling 1 min
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Introduction to the SAMA7D65 9 min
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LAB3: ML Model Training 1 min
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The FOMO Architecture 3 min
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The EON Tuner 2 min
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How to Optimize a Training Dataset? 2 min
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Key Elements to Consider 11 min
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LAB4: Model Testing and Metrics 1 min
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LAB5: Running the Model using the Web Interface 1 min
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LAB6: Running the Model on the Target 1 min
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Hardware and Software Flow 4 min
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Other MPUs and Summary 2 min
- Complete Recording
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25033 AIML4 (45 min)
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25033 AIML4: Easy Computer Vision with MPUs and Edge Impulse (August 2025)
In this course, attendees will gain practical insights into the architecture and capabilities of the 32-bit MPUs and advanced techniques for maintaining and updating machine learning applications.
This is a recording of the course "25033 AIML4: Easy Computer Vision with MPUs and Edge Impulse " from the 2025 MASTERs Conference.
This training program provides a comprehensive, hands-on learning experience in developing machine learning applications using the SAMA7D65 and the Edge Impulse platform. Participants will cover the entire development lifecycle, including data collection, labeling, preprocessing, model training, optimization, and deployment on edge devices. Special emphasis will be placed on leveraging Edge Impulse's FOMO object detection architecture to develop high-performance machine learning applications. By the end of the course, attendees will have practical insights into the architecture and capabilities of the 32-bit MPUs and advanced techniques for maintaining and updating machine learning applications.
Prerequisites:
none