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Case Study · 09

AI-powered glue-line quality control in carton packaging production.

Machine-vision and automation solution that detects missing or faulty glue lines in real time, with alarming, defect visualization, and event-log features.

Sector Carton packaging
Focus Area AI-driven quality control
95%+ detection accuracy
60 fps high-speed inspection
Up to 11,000 boxes/day defect prevention
Project Context

Why this project was needed

In carton packaging production, glue-line quality is critical for final product performance. Faulty lines cause customer complaints, scrap, and yield loss.

Need & Challenge

Core challenges

Traditional checks cannot monitor faulty or missing glue lines reliably and continuously on high-speed production lines.

Approach

How it was addressed

High-speed imaging, sensor triggering, alarm generation, and event-log infrastructure were combined into a real-time quality-control system.

Solution Components

Implementation structure

60 fps camera system
Image-processing algorithms
Sensor-based triggering
Alarm system
Defect visualization screen
Event-log infrastructure
Delivered Value

Results and impact

Quality defects are caught earlier, scrap drops, operator response speeds up, and quality history supports certification processes.

Related Expertise

Capabilities applied in this project

Technology Data & Analytics Transformation

Let's build the real-time quality-control architecture for your carton-packaging lines together.

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