The Link Between Image Quality and AI Accuracy
AI vision systems are only as accurate as the data they see. Even the most advanced neural network will fail if the input images are blurry, noisy, or inconsistent.
Three key sensor specs determine data quality:
- Resolution: Higher resolution reveals small defects but increases data size.
- Sensor & pixel size: Larger sensors gather more light, reducing noise.
- Shutter type: Global shutters prevent motion blur on fast-moving parts.
The Overview.ai Advantage
At Overview.ai, our cameras are designed specifically for industrial AI inspection:
OV10i
1.6 MP global shutter, built-in lens, fast classifier-only deployment. Ideal for presence/absence checks.
OV20i
8.3 MP rolling shutter, C-mount flexibility, advanced classifier + segmenter capabilities for low-contrast defects.
OV80i
Best-in-class accuracy with classifier + segmenter + OCR, capable of detecting micro-defects <0.1% FOV.
Best Practices for AI Teams
- ✓Match resolution to your smallest defect size (3–5 pixels across it).
- ✓Use global shutters for fast-moving parts.
- ✓Pair high-end sensors with high-quality lenses.
- ✓Validate image quality under production lighting.
Want to boost your AI model accuracy?
See how OV-series cameras deliver flawless data out of the box.
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