AI and machine learning · Free · ₹0
Computer Vision with OpenCV
Classical image processing on the pictures a plant produces: parts on a belt, caps on bottles, a scratch on a surface. Images as arrays, thresholds, morphology, edges, contours and measurement, video and background subtraction, tracking and counting, Hough and template matching, and the camera, lens and lighting decisions that come before any code.
Inside the course
From the lessons
An image is an array
ProgrammingKnowledge
Drawing, arithmetic, masks and HSV colour
ProgrammingKnowledge
Thresholding and morphology
ProgrammingKnowledge
Smoothing, gradients and Canny edges
ProgrammingKnowledge
Contours, shapes and measurement
ProgrammingKnowledge
Video, motion and background subtraction
ProgrammingKnowledge
Lesson frames belong to the creators named in the Credits below and are shown from YouTube.
What you will learn
Read, convert, crop and measure images in OpenCV; detect by colour in HSV; threshold and clean binary images; find edges and contours and turn them into counts and millimetre measurements; process video, subtract background and track objects across a counting line; use histograms, template matching and Hough transforms; choose cameras, lenses, lighting and triggers; and evaluate a counter against ground truth.
- Treat an image as an array and measure a part in millimetres from pixels
- Detect parts by colour in HSV and by brightness with Otsu and adaptive thresholds
- Clean binary images with morphology and separate touching parts
- Find contours and turn them into counts, sizes, shapes and pass/fail
- Process video, subtract the background and count parts crossing a line with a tracker
- Choose camera, lens, lighting and trigger so the software stays simple
Course content
12 modules · 32 lessons · 13h 46m
In order, at whatever pace suits you. Each module ends with a practice task that builds on the last, and a short quiz.
- 01An image is an array4 lessons3h 50m
- 02Drawing, arithmetic, masks and HSV colour4 lessons1h 8m
- 03Thresholding and morphology3 lessons45m
- 04Smoothing, gradients and Canny edges3 lessons40m
- 05Contours, shapes and measurement2 lessons30m
- 06Video, motion and background subtraction3 lessons49m
- 07Tracking and counting across a line2 lessons27m
- 08Histograms, template matching and Hough5 lessons1h 11m
- 09Haar cascades, corners and the limits of classical vision3 lessons31m
- 10Cameras, lenses, lighting and calibration2 lessons14m
- 11The project: a conveyor counter, evaluated1 lesson3h 42m
- 12Final assessment0 lessons0m
Requirements
- Who it is for
- Beginner in vision. Needs basic Python and NumPy — the Python for AI course, or equivalent.
- Software
- Google Colab (free) with OpenCV pre-installed. A phone camera for the projects.
- Hardware
- A phone camera, a tray and a ruler for the projects. No industrial camera needed.
Computer Vision with OpenCV at a glance
Computer Vision with OpenCV is a free, self-paced online ai and machine learning course from EDWartens India with 12 modules, 13h 46m of video lessons, written notes, practice tasks and assessments, and an optional verifiable certificate.
- Price
- ₹0, free for good. No trial, no card. Comparable classroom training of this length costs about ₹6,999.
- Format
- 12 self-paced modules, 13h 46m of video, written notes, a quiz per module and a final assessment.
- Level
- Beginner. Beginner in vision. Needs basic Python and NumPy — the Python for AI course, or equivalent.
- Brand
- Vendor-neutral
- Software
- Google Colab (free) with OpenCV pre-installed. A phone camera for the projects.
- Hardware
- A phone camera, a tray and a ruler for the projects. No industrial camera needed.
- Certificate
- Optional EDWartens Certificate of Completion, verifiable by code. Not a vendor credential.
- Video lessons by
- ProgrammingKnowledge, Murtaza's Workshop, freeCodeCamp.org (independent creators, credited below)
- Language
- English
A shareable EDWartens certificate
Finish every module and pass the final assessment, and the optional EDWartens certificate is yours. It carries a unique verification code on a public page anyone can check, so it stands up when a recruiter looks it up. See it below.
- Add it to your LinkedIn profile in one click
- Link it from a CV or portfolio, the URL is permanent
- Publicly verifiable by code, not a PDF anyone can edit
- Issued by EDWartens India, the training centre itself
The course itself stays free whether or not you ever buy one.
Stuck? Ask a practising engineer
A free course usually means a comment section and hope. This one does not. Every module has an Ask-your-trainer panel that reaches the same engineers who teach our paid programme: people who commission panels for a living, not moderators.
- Questions answered in the context of the module you are on
- The same engineers who teach the AEP programme
- Career tools, CV help and public job listings included
- Your progress and notes stay in your account for good
Pairs well with
PLC programming · FreeSiemens TIA PortalFrom zero electrical knowledge to a working, simulated S7-1200 program, for nothing.
PLC programming · FreeSiemens S7-1200 with TIA Portal: The Tutorial SeriesEvery S7-1200 instruction, one short video at a time: bits, edges, timers, counters, comparators, maths, MOVE, conversion, analog scaling, jumps and shift registers.
HMI · FreeSiemens TIA Portal HMI: KTP and Comfort Panels with WinCCEvery screen a plant operator touches, built in TIA Portal: tags, buttons, symbols, numeric input, bar graphs, navigation and templates, trends, alarms, recipes, faceplates, pop-ups, users and languages.
Process control · FreeSiemens TIA Portal PID Compact and Analog ProcessingClosed-loop control the way it is done on an S7-1200 or S7-1500: analog in, NORM_X and SCALE_X, PID_Compact configured, tuned and wired to an HMI, analog or PWM out, proved on a free tank simulation.Learning paths with this course
- Applied AI engineer · 4 coursesThe four skills AI job posts name most: machine learning with scikit-learn, computer vision with OpenCV, deep learning with TensorFlow and Keras, and RAG chatbots with LangChain — each with a plant project.
Learner reviews
No reviews yet
Reviews here are written only by learners who have finished every module of Computer Vision with OpenCV, and they are published exactly as written. Finish the course and yours will be the first.
Common questions
Do I need an industrial camera?
No. Every exercise runs on images and videos you make with a phone, plus a synthetic belt video the notebook generates with a known part count. The module on cameras and lighting tells you what to buy when the time comes.
Is this deep learning?
No — deliberately. This course is the classical toolbox that solves most fixed-camera inspection jobs at a fraction of the cost, and it is what the Deep Learning and Machine Vision courses build on. It also teaches you to measure when classical methods fail, so a neural network is a decision, not a reflex.
What are the projects?
A conveyor part counter — detection, tracking, a counting line — debugged on a synthetic belt video with a known count and then run on your own phone video, with misses and double counts reported separately; and a colour-sorting plus size-check station on photos of bottle caps.
Is the course really free?
Yes. Every module, practice task, project and assessment. You create an account so your progress is saved and the assessments can be marked. The certificate is the only paid item, and only if you want it.
What certificate do I get?
An EDWartens Certificate of Completion, issued when you have submitted a project and passed the final assessment, with a verification code anyone can check. It is not a vendor credential and is never described as one.
Who made the video lessons?
The creators named in the Credits block at the foot of this page, on their own YouTube channels. EDWartens did not make the videos and the creators are not affiliated with EDWartens. What EDWartens wrote is the study plan, the notes, the practice tasks, the projects and the assessments.
What you walk away with
Your certificate for Computer Vision with OpenCV
Finish the course, pass the final, and this is the document with your name on it.
Verifiable by anyone
A unique certificate number and a public verification page. A recruiter checks it in ten seconds.
Adds to LinkedIn in one click
Issuer, credential ID and URL prefilled, with 5 matching skills to pin to your profile.
QR code on the certificate
Scans straight to the verification page, so a printed copy proves itself.
Names what you can do
Lists the topics covered, from images, colour spaces, pixels and drawing with opencv to a conveyor part counter built and evaluated.
A permanent link
Put it on a CV, a portfolio or an application. The URL never changes.
Earned, not attended
Issued only after every module and a final assessment at 70%, with three attempts. That is why it stands up.
Learning is free. The certificate is optional.
Add it now and pay only when you have finished the course, or come back for it later. One-off, ₹459, GST included, with a receipt.
Issued by EDWartens India (Wartens Automation Private Limited) as a Certificate of Completion for this self-paced course. It is not a vendor certification, a university award or a CPD-accredited activity, and it does not certify competence on live equipment. Delivered electronically; see the refund policy.
Credits
Who made the video lessons
The video lessons in this course were created by the people below, not by EDWartens. Every lesson streams from its creator's own YouTube channel; EDWartens neither hosts nor sells that footage, and the creators are not affiliated with EDWartens and do not endorse this course. What EDWartens wrote is the study plan, the notes, the practice tasks and the assessments.
- ProgrammingKnowledgethe OpenCV Python tutorial for beginners series
- Murtaza's WorkshopLearn OpenCV in 3 hours with three projects
- freeCodeCamp.orgthe OpenCV full course
If you are one of these creators and would like a lesson removed or credited differently, write to info@wartens.com.