AI-Powered Quality Inspection Platform for a Leading Manufacturer

Reduced defect escape rate by 87% with a real-time computer vision inspection system.

Client

Global Manufacturing Enterprise

Industry

Manufacturing

Service

AI & Intelligent Systems

The Challenge

The client's manual quality inspection process was slow, inconsistent, and missed micro-defects on high-speed production lines. Defective products reaching customers led to costly returns and brand damage.

Our Solution

Inola Technologies designed and deployed an end-to-end computer vision pipeline: high-resolution cameras at critical inspection points, custom-trained deep learning models for defect detection and classification, edge computing for real-time inference, and a management dashboard for defect analytics and trend tracking.

Technologies Used

PythonTensorFlowOpenCVEdge ComputingDockerFastAPIReact.jsPostgreSQL

Results

87% reduction in defect escape rate

6x faster inspection speed vs. manual process

Real-time defect classification across 12 categories

30% reduction in false rejection rate, saving good product

The AI inspection system paid for itself within three months. We're now expanding it to two more production lines.

Production Director

Global Manufacturing Enterprise

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