AI and machine learning · Free · ₹0
Machine Vision and Quality Inspection
The whole inspection station, not just the model: cameras, lenses, lighting and triggers that make the image; classical tools for what can be measured; deep learning for what can only be shown; datasets and labelling; training, evaluating and exporting a YOLO defect detector; and deploying it beside a PLC that keeps the reject decision.
Inside the course
From the lessons
The anatomy of an inspection station
Breen Machine Automation Services LLC
Cameras and sensors
IDS Imaging Development Systems GmbH
Lenses and optics
IDS Imaging Development Systems GmbH
Lighting
Omron Microscan
Triggering, timing and the PLC
IDS Imaging Development Systems GmbH
Classical inspection tools
IDS Imaging Development Systems GmbH
Lesson frames belong to the creators named in the Credits below and are shown from YouTube.
What you will learn
Specify a camera, lens, lighting and trigger from the feature size, field of view and line speed with the arithmetic shown; build a timing budget to the rejector and a PLC handshake with a heartbeat; assemble classical tools with limits and validate them; decide when deep learning is justified and which model type; build a labelled dataset with a written standard; train a YOLO detector, sweep the threshold, choose the operating point with QA, export it and measure latency; and read an integrator's quotation for what it leaves out.
- Turn feature size, field of view and belt speed into pixels, exposure and a lens focal length
- Choose backlight, dark-field, dome or structured light by measured contrast, not opinion
- Build the timing budget to the rejector and the PLC handshake with a heartbeat
- Assemble and validate classical tools — calipers, presence, OCR, codes — with limits and golden samples
- Decide when deep learning is justified, build a labelled dataset with a standard, and train a YOLO detector
- Choose the operating point with QA, export the model and measure latency where it will run
Course content
12 modules · 36 lessons · 7h 56m
In order, at whatever pace suits you. Each module ends with a practice task that builds on the last, and a short quiz.
- 01The anatomy of an inspection station4 lessons19m
- 02Cameras and sensors4 lessons39m
- 03Lenses and optics2 lessons25m
- 04Lighting5 lessons1h 28m
- 05Triggering, timing and the PLC2 lessons20m
- 06Classical inspection tools2 lessons24m
- 07When to go deep4 lessons7m
- 08Datasets and labelling2 lessons21m
- 09Training a detector4 lessons2h 4m
- 10Evaluating for the line and deploying4 lessons47m
- 11The inspection station project3 lessons1h 3m
- 12Final assessment0 lessons0m
Requirements
- Who it is for
- Intermediate. Needs the Computer Vision with OpenCV course; the Deep Learning course helps for modules 7–10.
- Software
- Google Colab with a GPU runtime and Ultralytics YOLO; a phone camera for the bench test.
- Hardware
- A phone, a torch, a lamp and white paper for the lighting bench test. No industrial camera required.
Machine Vision and Quality Inspection at a glance
Machine Vision and Quality Inspection is a free, self-paced online ai and machine learning course from EDWartens India with 12 modules, 7h 56m 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 ₹4,999.
- Format
- 12 self-paced modules, 7h 56m of video, written notes, a quiz per module and a final assessment.
- Level
- Intermediate. Intermediate. Needs the Computer Vision with OpenCV course; the Deep Learning course helps for modules 7–10.
- Brand
- Vendor-neutral
- Software
- Google Colab with a GPU runtime and Ultralytics YOLO; a phone camera for the bench test.
- Hardware
- A phone, a torch, a lamp and white paper for the lighting bench test. No industrial camera required.
- Certificate
- Optional EDWartens Certificate of Completion, verifiable by code. Not a vendor credential.
- Video lessons by
- Breen Machine Automation Services, Cognex, IDS Imaging Development Systems, SmartVisionLights, Advanced illumination, Omron Microscan, Ramco Innovations, Edje Electronics, TheCodingBug, Code With Aarohi, Felipe Tambasco, DSwithBappy, MBD Notes, Pysource (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
- Industrial AI engineer · 4 coursesAI where the machines are: where it sits beside PLC and SCADA, predictive maintenance on real run-to-failure data, machine vision quality inspection with YOLO, and plant data over Modbus and OPC UA in Python.
Learner reviews
No reviews yet
Reviews here are written only by learners who have finished every module of Machine Vision and Quality Inspection, 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. The specification modules teach the arithmetic you will use to buy one; the bench test uses a phone and a lamp; the detector trains on the track's labelled dataset in Colab.
What do I need before this course?
The Computer Vision with OpenCV course for the classical tools and the measurement habits; the Deep Learning course helps for the YOLO modules but the notes are self-contained.
What are the projects?
Train, evaluate, threshold-sweep and export a YOLO defect detector on 640 labelled surface images, ending with the recall-per-defect sentence QA would sign; and specify a complete inspection station — camera, lens, lighting, trigger, timing — for a real product, with the lighting choice bench-tested on your own photos.
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 Machine Vision and Quality Inspection
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 cameras, lenses, lighting and triggering for inspection to a pcb or surface-defect detector trained and reported.
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, ₹559, 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.
- Breen Machine Automation Servicesthe machine vision overview, Cognex camera connection and perfect-image videos
- Cognexthe rule-based, deep-learning and edge-learning explainers
- IDS Imaging Development Systemscamera setup, lenses, triggering, dataset creation and the train-and-deploy tutorials
- SmartVisionLightsthe machine vision lighting basics and selection sessions
- Advanced illuminationdark-field and backlighting education
- Omron Microscanthe introduction to machine vision lighting
- Ramco Innovationsselecting a lens
- Edje Electronicstraining YOLO in Colab and running it on a Raspberry Pi
- TheCodingBugYOLO11 on a custom dataset
- Code With AarohiYOLOv8 on a custom dataset
- Felipe Tambascotraining YOLOv8 on a custom dataset step by step
- DSwithBappydata annotation with Roboflow
- MBD NotesPCB defect detection with YOLO
- Pysourcethe vision inspection and defect detection system builds
If you are one of these creators and would like a lesson removed or credited differently, write to info@wartens.com.