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Automated Inspection With Computer Vision

Automated Inspection with Computer Vision

Beginner

54 Lessons

15h

Certificate of Completion

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This course includes

1 Project
2 Assessments
124 Playgrounds
22 Quizzes

This course includes

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

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

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

What You'll Learn

Hands-on experience transforming image objects with OpenCV

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Course Content

1

Introduction

Automated Inspection: A Major Application of Computer Vision
2

Getting Started with Images

I/O Operations on ImagesImage AnnotationQuiz: Image I/O and Annotations

Image I/O and Annotations

Assessment

3

Color Spaces and Thresholding

Color SpacesThresholdingAdaptive ThresholdQuiz: Color Spaces, Thresholding, and Adaptive Threshold

Convert Color Spaces, Threshold

Assessment

4

Smoothing and Masking

SmoothingMaskingExercise: Smooth and Mask in Jupyter
5

Detection of Features

Template MatchingMorphologyBlob DetectionQuiz: Template Matching, Morphology, and Blob DetectionExercise: Detect Fiducials on an Electronic BoardEdge DetectionQuiz: Edge Detection, Thinning, and Hough LinesExercise: Detect Edges of an Electronic BoardCorner DetectionQuiz: Corner DetectionExercise: Detect Corners
6

Image Registration

3 Lessons

7

3D Vision

4 Lessons

8

Getting Started with Neural Networks

5 Lessons

9

Convolutional Neural Networks

8 Lessons

Project: Create and Train a CNN for Classification

Project

10

Object Detection and Semantic Segmentation

6 Lessons

11

Dataset Annotation

4 Lessons

12

Final Remarks

2 Lessons

Course Author

Practice and apply your skills

Trusted by 1.4 million developers working at companies

Anthony Walker

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Emma Bostian 🐞

@EmmaBostian

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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