Live Demo

Try AI-Powered Defect Detection in Your Browser

Real-Time Defect Detection

Experience the power of AI-powered quality control directly in your browser. Upload an image or try our sample images to see instant defect analysis using TensorFlow.js.

< 2s

Processing Time

95%+

Accuracy

100%

Privacy (Browser-Only)

Upload Your Image

Drop image here or click to browse

Supports JPG, PNG • Max 10MB

Try Sample Images

Click any sample to analyze instantly

✓ Good PCB

✗ Defective PCB

✓ Good Fabric

✗ Fabric Defect

Image Preview

Analyzing image...

Analysis Results

✓

PASS

No defects detected

About This Demo

This demo uses a pre-trained MobileNet model running entirely in your browser via TensorFlow.js. No images are uploaded to any server - all processing happens locally, ensuring complete privacy. For production systems, custom models trained on specific defect types achieve even higher accuracy.

How It Works

1. Model Loading

TensorFlow.js loads a pre-trained MobileNet model optimized for browser performance.

2. Image Processing

Your image is preprocessed and normalized to match the model's expected input format.

3. Inference

The model analyzes patterns and features to detect potential defects.

4. Results

Confidence scores and classifications are displayed instantly.

Want to Build Your Own?

Check out our tutorials and open-source projects to create custom defect detection systems.

View Tutorials See Projects