The Wood Defect Detection and Sorting System is an AI-driven machine vision solution that automates the visual inspection and sorting of wood panels on production lines. This system, proven to meet industry requirements, enhances efficiency and accuracy, reducing the need for manual inspection and increasing productivity in wood processing factories.
Manual inspection of wood panels is time-consuming, error-prone, and depends heavily on the availability of skilled visual inspectors. Small and medium-sized enterprises (SMEs) often find existing automated solutions prohibitively expensive due to customization costs, making it difficult for them to adopt advanced technologies.
This system replaces manual inspection with an automated, AI-driven process. Key innovations include a specialized lighting system and camera setup for high-quality image capture, and a proprietary AI algorithm for defect detection. The technology is scalable and applicable to other industries, such as automotive and electronics, due to its advanced image analysis capabilities.
The AI-driven Wood Defect Detection and Sorting System automates the visual inspection process using advanced machine vision technology. It employs a custom-designed lighting system, high-quality cameras, and a mechanical platform to capture detailed images of wood panels. An internally developed AI-based software algorithm detects defects and sorts the panels according to predefined grades, enhancing speed and reliability.
1. Automation: Reduces manpower from three to zero, increasing efficiency and reliability.2. Speed: Inspects each wood panel in less than one second.3. Versatility: The AI algorithm can be adapted for other products beyond wood panels.4. Cost-Effective: Provides a more affordable solution for SMEs compared to existing customized options.5. Sustainability: Increases utilization of timber products and reduces deforestation by enabling rework of defective panels.