Computer Vision Quality Inspection System

Computer Vision Quality Inspection System

View Github repo
View Github repo

Click here for live demo
Click here for live demo

Overview

An automated visual inspection system that detects surface defects on
CFRP composite parts. Upload an image of a composite surface — the system
identifies scratches, dents/porosity, and delamination using thresholding,
contour analysis, and shape classification. PASS/FAIL verdict with annotated
output and detailed defect report. 95%+ accuracy on synthetic test data.
Inspired by Airbus's AVIA system.

Defective composite surface inspected — 2 defects found. Scratch identified
by red contour (area: 231px, circularity: 0.051), dent/porosity by orange
contour (area: 5027px, circularity: 0.723). Total defect area: 5258 pixels.
Verdict: ❌ FAIL. Left panel shows raw input, right panel shows annotated
result with bounding boxes and labels.

What It Does

Feature

Detail

🔍 3 Defect Types

Scratches (high aspect ratio → red), dents/porosity (high circularity → orange), delamination (irregular shape → yellow). Classified by contour geometry.

🖼️ Upload & Inspect

Drag-and-drop any composite surface image. Gradio web interface with side-by-side input/output view. Works on any browser.

⚙️ Adjustable Sensitivity

Detection threshold slider (30–120) and minimum defect area filter (10–200 px). Lower threshold = more sensitive.

📋 Detailed Report

Per-defect breakdown: type, area in pixels, XY location, circularity score. Total defect area and PASS/FAIL verdict.

🧪 Synthetic Test Data

40 generated images (20 good, 20 defective) with carbon fiber weave texture. Scratches, dents, delaminations injected programmatically.

🌐 Live Deployment

Hosted on HuggingFace Spaces (free). Anyone can try it — no install required.

Detection Results

Clean Surface — PASS

No defects detected. Output image matches input with no annotation
overlays. Verdict: ✅ PASS. Report confirms "Surface is clean. No defects
detected." The dark carbon fiber weave pattern is correctly identified
as normal texture, not flagged as defects.

Adjusted Sensitivity — Delamination + Dent

Threshold raised to 80, minimum area to 100px — filtering out smaller
noise while still catching significant defects. Delamination detected
(yellow box, 204px, circularity 0.037) and dent/porosity (orange box,
404px, circularity 0.929). Note: one smaller dent in the lower area
was filtered out by the higher min-area threshold — demonstrating how
the sliders let operators tune sensitivity for their use case.

Defect

Color

Shape Feature

Real-World Cause

Scratch

🔴 Red

Aspect ratio > 4

Tool marks, handling damage

Dent / Porosity

🟠 Orange

Circularity > 0.6

Impact damage, trapped air

Delamination

🟡 Yellow

Irregular shape

Ply separation, moisture ingress

Live Demo

Try it here

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