HomeCoursesAutomated Inspection with Computer Vision

Beginner

15h

Updated 3 months ago

Automated Inspection with Computer Vision

Gain insights into automated inspection using computer vision. Learn image analysis, feature detection, 2D/3D transformations, and train neural networks for object detection and image segmentation.

Join 2.7 million developers at

Overview

Content

Reviews

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 Detector, and Hough transform. You’ll learn about 2D transformations, including perspective and affine transformation, and 3D-to-2D projections. You’ll perform topography with a laser line to inspect the 3D shape of an object. Lastly, you’ll train convolutional neural networks for object detection and image segmentation and annotate datasets using CVAT. By the end of this course, you will have the skills to build inspection systems for industrial applications using computer vision and machine learning.

Computer vision is essential for developers who wish to learn practical skills, e.g., in industrial manufacturing, automated ins...Show More

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

TAKEAWAY SKILLS

Python Programming

PyTorch basics

Machine Learning

Neural Networks

PyTorch

openCV

automatedInspection

computerVision

Content

54 Lessons1 Project22 Quizzes2 Assessments1 Challenge

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

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

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

10.

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

Cats vs Dogs Classification with Convolutional Neural Networks

Project

Premium

11.

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

12.

Final Remarks

2 Lessons

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

Inspection Process

Conclusion

Recognize Handwritten Digits Using a Deep Neural Network

Project

Premium

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

Sébastien Gilbert

Developed by MAANG Engineers

Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

Trusted by 2.7 million developers working at companies

"These are high-quality courses. Trust me. I own around 10 and the price is worth it for the content quality. EducativeInc came at the right time in my career. I'm understanding topics better than with any book or online video tutorial I've done. Truly made for developers. Thanks"

Anthony Walker

@_webarchitect_

"Just finished my first full #ML course: Machine learning for Software Engineers from Educative, Inc. ... Highly recommend!"

Evan Dunbar

ML Engineer

"You guys are the gold standard of crash-courses... Narrow enough that it doesn't need years of study or a full blown book to get the gist, but broad enough that an afternoon of Googling doesn't cut it."

Software Developer

Carlos Matias La Borde

"I spend my days and nights on Educative. It is indispensable. It is such a unique and reader-friendly site"

Souvik Kundu

Front-end Developer

"Your courses are simply awesome, the depth they go into and the breadth of coverage is so good that I don't have to refer to 10 different websites looking for interview topics and content."

Vinay Krishnaiah

Software Developer

Hands-on Learning Powered by AI

See how Educative uses AI to make your learning more immersive than ever before.

Personalized Interview Prep

Skip the LeetCode grind with a custom roadmap that adapts to your goals. Hands-on practice for Coding Interviews, System Design, and more.

Mock Interviews

Test your skills in a simulated interview setting. Receive personalized feedback based on your performance. Available for Coding Interviews, System Design, and more.

AI Prompt

Build prompt engineering skills. Practice implementing AI-informed solutions.

Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

Explain with AI

Select any text within any Educative course, and get an instant explanation — without ever leaving your browser.

AI Code Mentor

AI Code Mentor helps you quickly identify errors in your code, learn from your mistakes, and nudge you in the right direction — just like a 1:1 tutor!

Course

Image Recognition with Machine Learning

Gain insights into image data processing and CNNs for image classification using TensorFlow. Delve into CNN architectures and their applications, requiring Python and TensorFlow knowledge.

7 h

advanced

Course

Master Explainable AI: Interpreting Image Classifier Decisions

Discover Explainable AI tools to interpret deep learning classifiers. Use saliency maps, activation maps, and metrics to lead the GenAI revolution and future-proof your skills.

7 h

advanced

Course

A Practical Guide to Machine Learning with Python

Explore practical coding of basic machine learning models using Python. Gain insights into algorithms like linear regression, logistic regression, SVM, KNN, and decision trees.

72 h 30 m

beginner

Course

Python for Scientists and Engineers

Gain insights into Python for scientific computing. Explore arrays, plotting, linear equations, and algorithms using NumPy, Matplotlib, SciPy. Delve into applying tools with practical exercises.

13 h

intermediate

Course

Machine Learning Handbook

Gain insights into ML fundamentals, explore Python libraries, and delve into real-world applications like Tesla and ChatGPT. Discover traditional vs. deep learning for data-driven decision-making.

2 h 30 m

beginner

Course

Mastering Computer Vision in Python with OpenCV

Discover OpenCV to enhance AI in computer vision. Learn image/video processing, editing, and basic machine learning like edge, object, and face detection with real-world projects.

20 h

intermediate

Course

Image Recognition with Machine Learning

advanced

7 hour

Course

Master Explainable AI: Interpreting Image Classifier Decisions

advanced

7 hour

Course

A Practical Guide to Machine Learning with Python