Defect Detection Systems
Camera-based checks for visible defects, missing areas, incorrect features, or abnormal product conditions.
Helps reduce manual checking and gives operators a clearer OK/NOK decision path.
Manufacturing Vision Systems
Automated Vision Inspection Systems for Manufacturing
Helping manufacturers automate quality checks, validate parts, and reduce manual inspection using camera-based inspection systems.
Defect checks
Part validation
PASS/FAIL flow
Client Problems
Inspection Systems Built Around Manufacturing Outcomes
Part Presence Verification
Inspection logic to confirm whether required parts, holes, labels, or components are present before the next process step.
Helps catch assembly mistakes earlier and supports more consistent quality control.
Automated Quality Inspection
Custom inspection workflows that combine cameras, decision rules, operator screens, and result logging.
Turns repeatable visual checks into a structured inspection process.
Camera-Based Measurement
Vision systems for angle checks, dimensional references, alignment checks, and feature position validation.
Useful where manual judgement is slow, inconsistent, or hard to document.
PLC-Connected Workflows
Inspection systems that receive machine triggers and return inspection results to the automation process.
Helps connect quality decisions with the existing production sequence.
Operator Dashboards
Simple screens for operators to view inspection status, PASS/FAIL results, images, and basic process feedback.
Makes inspection systems easier to use on the shop floor.
Case Studies
Project Work Explained as Inspection Problems
InspectionCamshaft Angle Detection System
A camera-based inspection project focused on checking camshaft angle position and giving a clear PASS/FAIL decision to support quality inspection.
Problem
Manual angle checking can depend on operator judgement and may slow down repeatable inspection work.
Challenge
The inspection needed a clear decision workflow, image processing logic, operator visibility, and a path for PLC-triggered operation.
Solution
Built a vision workflow that captures the inspection image, analyzes the camshaft position, displays the result on an operator interface, and prepares the result for automation handoff.
Workflow
Camera captures the part image
Inspection logic checks angle-related visual features
Operator screen shows the image and PASS/FAIL result
PLC communication layer can exchange trigger and result signals
Technologies Used
Python
OpenCV
YOLOv8
PyQt
Snap7
Siemens PLC
Personally Built
Inspection logic and image-processing workflow
Operator dashboard concept
PASS/FAIL decision flow
PLC communication approach using Snap7
AutomationPLC-Connected Vision Inspection Workflow
A machine-vision workflow designed around PLC triggers, inspection decisions, and result communication for production-style automation.
Problem
A vision system is only useful in manufacturing when it can fit into the machine sequence instead of working as a disconnected demo.
Challenge
The system needed to read inspection triggers, process images, and return useful result states for downstream machine logic.
Solution
Created a PLC communication pattern where the inspection node can receive a trigger, run the vision check, and write result data back for the automation process.
WorkflowVision Project Orchestration Unit
A software concept for organizing machine-vision work from data handling to controlled model and workflow management.
Problem
Vision projects can become hard to manage when images, models, tests, and deployment notes are scattered.
Challenge
The system needed a more organized way to track project assets, training work, and deployment readiness.
Solution
Designed a control-plane style workflow to manage datasets, model versions, inference nodes, and inspection project status.
Proof Library
Evidence a Manufacturing Buyer Can Review
Evidence hub
Show the inspection working, not just the technology behind it.
The dedicated proof page is structured for demo videos, screenshots, output samples, certificates, and real setup photos.
Available
End-to-End Demo Video
A short walkthrough showing image capture, inspection decision, operator screen, and PLC/result workflow.
Available
Project Screenshots
Current project visuals show inspection, PLC workflow, and orchestration concepts already used across the portfolio.
Available
Sample Inspection Outputs
Before/after examples, OK/NOK result screens, annotated detections, and rejected-part examples.
Currently Developing
AI-Based Sealant Inspection System
In DevelopmentThis project is being developed as a camera-based quality inspection workflow for sealant application checks. It is not presented as a completed deployment.
Missing sealant detection
OK/NOK classification
Quality inspection workflow
Future PLC integration
Why Work With Me
A Practical Builder for Custom Inspection Problems
Industrial Exposure
Mechatronics and Manufacturing Mindset
My work is shaped by mechatronics, automation interest, and hands-on camera inspection projects. I focus on understanding the inspection requirement first, then choosing the right technical approach.
Trust Signals
Mechatronics background with interest in machines, controls, and inspection workflows.
Hands-on project experience with camera inspection, operator dashboards, and PLC communication concepts.
Custom solution mindset instead of one-size-fits-all software.
Direct communication with the person building the inspection logic.
Comfortable discussing both shop-floor problems and technical implementation details.
Inspection Requirement
Discuss Your Manufacturing Inspection Problem
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Share what needs to be inspected, how the current process works, and what decision the system should make.