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AI/ML

MANUFACTURING

Automated Quality Control

Computer vision system for automated defect detection.

WASTE REDUCTION

30%

DELIVERY TIMELINE

4 Months

REGION

Europe

CLIENT PROFILE

Industry

Timber Manufacturing

Location

Europe

Year

2024

TECHNOLOGY STACK

  • Computer Vision
  • Python

The Challenge

The client's manual quality inspection of timber logs was inefficient and inconsistent, leading to variations in product quality and potential waste.

"Inconsistent manual quality inspection of timber logs."

The Solution

We implemented an AI-powered defect detection system for automated quality control using advanced computer vision.

Defect Detection

ML models to distinguish between defective and quality logs with high accuracy.

Production Integration

Seamless workflow integration for immediate action on defects.

Automated Tracking

Identification and tracking of defective pieces for data collection.

Full Impact Analysis

1

Improved product quality and consistency, ensuring a higher standard of output.

2

Reduced waste and rework, leading to cost savings.

3

Increased production efficiency by streamlining inspections.

FUTURE ROADMAP

Deploying model updates for new timber variants.

Ready to build your success story?

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Let's discuss how we can engineer it into reality. We are ready to partner with you.

CONTACT

contact@wbos.co

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