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Category
Enterprise AI
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Stack
Industrial Intelligence
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Timeline
5 Months
// problem
Non-Woven bag manufacturing factory struggled to ensure print quality across thousands of non-woven bags daily due to a manual, error-prone inspection process. Human-based checks couldn’t match production speed, leading to missed defects, brand damage, and rising rework costs. With over 150+ bag designs and changing defect patterns, their manual quality control system had become unsustainable without automation.
// How we fixed it
We built Ailee, an AI-powered defect detection system that inspects up to 4 bags per second in real time. Combining robust hardware and a dual-stage ML pipeline, it identifies known and unknown defects, auto-sorts bags, and supports new designs without retraining. A modular dashboard enables easy monitoring, replacing the need for manual inspection entirely.
// How we made it happen
We analyzed factory production line and built a custom solution using stainless steel hardware, dual cameras, and Seamans PLCs. Our AI software combined anomaly detection with defect classification, running on an edge GPU PC. The system was tested, refined, and deployed with a user-friendly UI for real-time quality control.
4X
Faster Inspection
+95%
Accuracy
-85%
Labor Cost Reduction
