Why Lighting Matters in AI Vision
Lighting variability is one of the most common—and most overlooked—reasons AI inspection fails. Glare, shadows, and inconsistent illumination confuse models and lead to false alarms.
Common issues:
- Overexposure erases surface features.
- Underexposure increases noise.
- Lighting shifts cause inconsistent model outputs.
- Shiny parts produce glare hotspots.
How Overview.ai Solves Lighting Challenges
OV10i
Built-in LED ring creates uniform illumination—no lighting expertise needed.
OV20i
Supports customizable external lighting to eliminate glare on reflective parts.
OV80i
Supports external strobe lighting for ultra-high sensitivity on micro-defects and OCR tasks.
💡 Pro Tip: You can preview images live with our browser-based interface, ensuring correct exposure and illumination before you train your model.
Lighting Best Practices
- 1Use diffuse lighting to reduce glare.
- 2Match color temperature to material color.
- 3Shield from ambient light.
- 4Keep lighting fixed after model training.
Lighting shouldn’t limit your AI accuracy
We’ll show you how to get perfect lighting the first time.
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