Solomon’s SolVision provides an AI-embedded solution for visual quality control in the production of embossed plasterboards, an extensively used construction material. Manufacturers often create innovative designs on plasterboards to promote usage. This creates intricate embossing, making quality inspection challenging due to the complex patterns. The SolVision platform utilizes segmentation technology to identify dirty stains, oversized embossing, unclear patterns, and other subtle defects on the plasterboard, which would be difficult to recognize via traditional optical inspection or human intervention.
- Advanced AI Segmentation - SolVision leverages AI to distinctly capture and identify the most subtle defects on complex embossed patterns.
- Precise Defect Detection and Localization - Accurately detects and locates issues including oversized embossing, unclear patterns, scratch marks and dirty stains on the plasterboard.
- Comprehensive Training Data Set - By utilizing a large data set of various defect samples, the AI model undergoes rigorous training to improve defect detection accuracy.
- Integrated Quality Control Solution - Forms an essential part of a complete end-to-end quality check process in manufacturing, significantly improving the quality and yield of the produced plasterboards.
- Adaptable to Complex Patterns - The solution can adapt to a vast range of embossed patterns, breaking through the monotony of traditional designs.
Solomon’s SolVision provides an AI-embedded solution for visual quality control in the production of embossed plasterboards, an extensively used construction material. Manufacturers often create innovative designs on plasterboards to promote usage. This creates intricate embossing, making quality inspection challenging due to the complex patterns. The SolVision platform utilizes segmentation technology to identify dirty stains, oversized embossing, unclear patterns, and other subtle defects on the plasterboard, which would be difficult to recognize via traditional optical inspection or human intervention.
- Advanced AI Segmentation - SolVision leverages AI to distinctly capture and identify the most subtle defects on complex embossed patterns.
- Precise Defect Detection and Localization - Accurately detects and locates issues including oversized embossing, unclear patterns, scratch marks and dirty stains on the plasterboard.
- Comprehensive Training Data Set - By utilizing a large data set of various defect samples, the AI model undergoes rigorous training to improve defect detection accuracy.
- Integrated Quality Control Solution - Forms an essential part of a complete end-to-end quality check process in manufacturing, significantly improving the quality and yield of the produced plasterboards.
- Adaptable to Complex Patterns - The solution can adapt to a vast range of embossed patterns, breaking through the monotony of traditional designs.