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.

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.

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.

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.