Success Story

reading time: 3 min

Manufacturing

Material Industries

Visual Inspection

Anomaly Detection

Industrial Software

Context

A leading industrial manufacturer struggled to keep its packaging accurate and of consistent quality. Errors such as incorrect labels, missing components, damaged packaging or misprinted barcodes could lead to costly recalls and compliance issues. Customers were also dissatisfied. Manual inspections were slow and error-prone, especially across several production lines.

Challenge

The client struggled to keep packaging quality consistent because manual inspections often missed errors. These errors could cause product recalls and violations of regulatory standards. That was a serious risk for the company's reputation and its bottom line.

Assignment

We proposed navio VISION, an AI-based visual anomaly detection system, to inspect each package in real time on the production line. The system connects to the existing ERP system. It flags defective packages and checks that labels and contents are correct.

Solution

navio VISION runs on the production line and uses high-resolution cameras to capture an image of every package. Its machine learning models check these images for packaging defects such as incorrect labels, missing components and damaged packaging. The system is integrated with the client's ERP system and automatically flags defective packages for removal or correction. Quality control runs efficiently, and the results are available in real time.

navio VISION significantly improves quality control. It reduces the risk of costly recalls by 55% and speeds up package inspection by 72%. The ERP integration makes sure packaging standards and regulations are met. Overall throughput goes up while quality standards stay high.

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three male team members of craftworks at a meeting table looking at laptops and working

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