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Automated Inspection with Computer Vision

Gain insights into automated inspection with computer vision. Learn image analysis, feature detection, edge detection, transformations, and neural networks to build industrial inspection systems for quality assurance.

Beginner

54 Lessons

15h

Certificate of Completion

Gain insights into automated inspection with computer vision. Learn image analysis, feature detection, edge detection, transformations, and neural networks to build industrial inspection systems for quality assurance.
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Explanations

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Explanations

This course includes

1 Project
2 Assessments
124 Playgrounds
22 Quizzes
Course Overview
What You'll Learn
Course Content
Apply Your Skills
Recommendations

Course Overview

Computer vision is essential for developers who wish to learn practical skills, e.g., in industrial manufacturing, automated inspection of products is crucial for quality assurance. In this course, you’ll apply computer vision and machine learning to analyze images for automated inspection. You’ll start by learning image I/O operations, thresholding, smoothing, and masking. You’ll learn feature detection using template matching and morphology. You’ll use the Sobel and Canny Edge Detectors, Harris Corner De...Show More
Computer vision is essential for developers who wish to learn practical skills, e.g., in industrial manufacturing, automated inspection of products is crucial for quality assurance. In this course, you’ll apply computer vision and machine learning to anal...Show More

TAKEAWAY SKILLS

Python Programming

PyTorch basics

Machine Learning

Neural Networks

PyTorch

openCV

automatedInspection

computerVision

What You'll Learn

Hands-on experience transforming image objects with OpenCV
An understanding of feature detection and blob analysis
The ability to use laser lines alongside 3D vision
Hands-on experience in labeling image datasets using CVAT
Working knowledge of convolutional neural networks for classification, object detection, and semantic segmentation with PyTorch
Hands-on experience transforming image objects with OpenCV

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Course Content

1.

Introduction

1 Lessons

Get familiar with automated inspection using computer vision and its practical applications.

2.

Getting Started with Images

3 Lessons

Get started with image I/O operations and annotation techniques in OpenCV.

4.

Color Spaces and Thresholding

4 Lessons

Work your way through color spaces, thresholding techniques, and adaptive thresholding for automated inspection.

6.

Smoothing and Masking

3 Lessons

Enhance your skills in smoothing and masking techniques for improved automated image inspection.

8.

Image Registration

3 Lessons

Tackle image registration using homography transformations and perspective warping for object inspection.

9.

3D Vision

4 Lessons

Master the steps to 3D topography capture, calibration, and visualization using laser line systems.

10.

Getting Started with Neural Networks

5 Lessons

Step through neural networks, tensor manipulation, building blocks, training, and hands-on exercises.

14.

Dataset Annotation

4 Lessons

Apply your skills to annotate datasets for semantic segmentation using CVAT tools and formats.

15.

Final Remarks

2 Lessons

Map out the steps for automated inspection using recipes and understand key distinctions in approaches.

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