Automated Visual Quality Inspection
60% reduction in manual inspection labor
Problem Statement
Manufacturing companies spend millions annually on manual visual inspection. Workers get fatigued, accuracy drops, and productivity suffers. Machine vision can help—but only if you can deploy it quickly and cost-effectively.
Solution
Klyff brings production-ready defect detection to your factory in 8-12 weeks. Real-time, 95%+ accurate detection of solder joints, surface defects, packaging issues—without cloud complexity.
$50K-$150K
Annual savings in the first year
60%+
Reduction in inspection labor (freeing workers for higher-value tasks)
3 Months
Payback period thus resulting in immediate ROI
95%+
Defect detection accuracy
How It Works
PCB assembly Solder joint inspection
Metal fabrication Surface defects, Scratches
Textile manufacturing Pattern/Color consistency
Food & beverage Packaging quality, Labeling
Electronics assembly Component verification
Case Study
Company: EMS Manufacturing Co.
Industry: PCB Assembly (500+ production lines)
Challenge: 50 QA inspectors verifying solder joints manually — $3M/year labor cost
Solution: Klyff defect detection on 5 Jetson Orin devices
Results:
- 60% reduction in inspection labor (30 inspectors freed)
- 98% defect detection accuracy (better than manual)
- 6-week deployment
- $1.8M annual labor savings
- 3-month ROI
“Klyff was a game-changer. We were skeptical about AI quality control, but the accuracy is excellent and the deployment was incredibly fast. In 6 weeks, we had real-time defect detection running on our lines. Our inspectors now focus on edge cases and problem-solving instead of routine inspection. Best investment we made in 2025.”
— John Miller, Quality Director, EMS Manufacturing
Selected Customer Success Stories
Adaptive Predictive Maintenance
Solder Joint Inspection
PPE Compliance in Chemical Plant
Our Insights to keep you ahead
A Comprehensive Guide to Edge AI in Manufacturing
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