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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

AI-POWERED

Explanations

AI-POWERED

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 ins...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

Course Content

Introduction

1 Lessons

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

Automated Inspection: A Major Application of Computer Vision

Getting Started with Images

3 Lessons

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

I/O Operations on Images

Image Annotation

Quiz: Image I/O and Annotations

Image I/O and Annotations

Assessment

Color Spaces and Thresholding

4 Lessons

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

Color Spaces

Thresholding

Adaptive Threshold

Quiz: Color Spaces, Thresholding, and Adaptive Threshold

Convert Color Spaces, Threshold

Assessment

Smoothing and Masking

3 Lessons

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

Smoothing

Masking

Exercise: Smooth and Mask in Jupyter

Detection of Features

11 Lessons

Solve problems in automated feature detection using template matching, morphology, blob, edge, and corner detection techniques.

Template Matching

Morphology

Blob Detection

Quiz: Template Matching, Morphology, and Blob Detection

Exercise: Detect Fiducials on an Electronic Board

Edge Detection

Quiz: Edge Detection, Thinning, and Hough Lines

Exercise: Detect Edges of an Electronic Board

Corner Detection

Quiz: Corner Detection

Exercise: Detect Corners

Image Registration

3 Lessons

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

Homographies

Quiz: Homographies

Exercise: Perform Perspective Warping

3D Vision

4 Lessons

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

Topography with Laser Line

Camera and Laser Line Calibration

Quiz: Topography with Laser Line

Exercise: Calibrate a System and Compute Topography

10.

Getting Started with Neural Networks

5 Lessons

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

Tensor Manipulation

Neural Network Building Blocks

Quiz: Tensors and Neural Network Building Blocks

Training a Neural Network

Exercise: Create and Train an MLP

11.

Convolutional Neural Networks

8 Lessons

Walk through CNN fundamentals, training techniques, and leveraging pretrained networks for image classification.

CNN Building Blocks

CNN for Classification

Quiz: CNN Building Blocks and CNN for Classification

Pretrained Classification CNNs

Exercise: Create and Train a CNN for Classification

Transfer Learning

Quiz: Pretrained Classification CNNs and CNN Training

Exercise: Fine-Tune Pretrained Classification CNN

Project: Create and Train a CNN for Classification

Project

13.

Object Detection and Semantic Segmentation

6 Lessons

Work your way through object detection and semantic segmentation using pre-trained CNN models.

CNN for Object Detection

Quiz: Pretrained Object Detection CNNs

Exercise: Download a Pretrained Object Detection CNN

CNN for Semantic Segmentation

Quiz: Semantic Segmentation CNNs

Exercise: Download a Pretrained Semantic Segmentation CNN

14.

Dataset Annotation

4 Lessons

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

CVAT Image Annotation Tool

Annotation Formats

Quiz: CVAT Annotation Tool

Exercise: Annotate Dataset for Semantic Segmentation

15.

Final Remarks

2 Lessons

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

Course Author

Vision Transformer for Image Classification

advanced

2 hour

Project

Vision Transformer for Image Classification

Learn to train a Vision Transformer for classifying images from the MNIST dataset, including data preprocessing, augmentation, and evaluation.

advanced

2 hours

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