GANs — Generative Adversarial Networks
Two networks competing — Generator vs Discriminator — to create photorealistic synthetic images
What Makes This Technology Special
Image Generation
Create realistic images that never existed before
Data Augmentation
Generate additional training data when real samples are scarce
Anomaly Detection
Use GANs to detect abnormalities that differ from normal data
Super Resolution
Enhance image resolution — ideal for CCTV footage
Style Transfer
Transform image style — day to night, summer to winter
Synthetic Defect Data
Generate defect samples for training QC models
Why You Need This Technology
Solve Data Scarcity
Generate training images when real data is limited
Photorealistic Output
Generated images so realistic even AI cannot distinguish them
Reduce Data Collection Cost
Generate defect data instantly instead of waiting for real defects
Enhance Camera Quality
Upscale footage from low-cost CCTV cameras
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