AI Quality Control Ensures Premium Lamella Flooring Quality

A I • May 05,2024

A prominent European hardwood flooring manufacturer overcame the hurdles of manual inspection inefficiencies by adopting EasyODM software. This advanced system integrates AI, machine learning, and computer vision to streamline parquet checks. This move has enhanced quality control precision and efficiency, reducing costs and elevating product quality to premium levels.

Client:

Established as a leading force in the European premium hardwood flooring sector, the client ranks as the second-largest company in this domain. The company unwaveringly focuses on refining its methodologies to ensure the lasting excellence of its wood quality control practices.

Problem Statement:

◉ Time-consuming and Inaccurate Inspections: Manual inspection of wood lamellas and parquet was slow, labor-intensive, and prone to human error. This made it difficult to meet production demands while maintaining consistent quality control.

◉ Limited Defect Detection: Traditional methods might miss subtle imperfections or inconsistencies in the wood.

◉ Inconsistent Quality Assessments: Human inspectors could introduce subjectivity into the quality control process.

Results:

☑️ Faster, More Efficient Inspections: Automated visual inspection significantly reduced time and effort, boosting overall quality control efficiency.

☑️ Higher Product Quality: Advanced AI and machine vision enhanced defect detection, ensuring superior quality and minimizing defective products.

☑️ Reduced Costs and Errors: Automation cut labor costs and minimized human errors, leading to overall cost savings in quality control.

☑️ Consistent Quality Assessments: With consistent, unbiased evaluations from the system, the client’s commitment to top-tier products remains unwavering.

☑️ Data-Driven Improvement: Valuable knowledge for continuous improvement in wood quality control is extracted from data by the system’s AI analysis.

AI Solution:

Faced with the time-consuming and error-prone nature of manual inspections, a leading European hardwood flooring company adopted EasyODM machine vision software. This software utilizes advanced machine learning and computer vision to control the quality of solid wood lamellas and parquet.

EasyODM seamlessly integrated with the company’s existing production setup, capturing video feeds from on-site cameras. Tailored for the wood industry, its advanced algorithms analyze the video data, automatically identifying a wide range of defects specific to wood products: surface imperfections, color variations, knots, and cracks. The EasyODM software is specifically made to catch even the slightest quality issues that might be hard to notice through manual inspection.

AI software is highly flexible and can be tailored to meet the lamella flooring industry’s ever-changing quality standards and needs. It can be trained to identify specific flaws and adapt to any modifications in the quality criteria whenever necessary.