The stone and marble industry, long rooted in tradition, is undergoing a remarkable transformation with the advent of artificial intelligence (AI) and machine learning (ML). These technologies are reshaping the industry, bringing about unprecedented improvements in production efficiency, quality control, and customization. As we prepare to host the StoneTech Canada 2024 this October, we are excited to highlight the latest advancements in AI and ML that are revolutionizing the stone and marble sector.
Automated Sorting and Quality Control: A New Standard of PrecisionOne of the most notable applications of AI in the marble industry is automated sorting, a process that traditionally relied heavily on human inspection. Manual sorting often resulted in inconsistencies and errors, but the introduction of AI-powered systems has changed the game. A prime example is the “Geoffrey” automated tile sorting machine, developed by Stone Group International. Geoffrey utilizes advanced machine learning algorithms to identify defects and categorize marble tiles with a precision previously unattainable by human workers. With a success rate of up to 95%, compared to the 73% accuracy of human inspectors, Geoffrey is setting a new standard for quality control in the marble industry.
Geoffrey – Automated Tile Sorting AI Machine
Industrial IoT Ecosystems: The “Marble Factory of the Future” The vision of a fully automated, smart marble factory is becoming a reality through the integration of Industrial Internet of Things (IoT) ecosystems like STONE 4.0, developed by D-Cube. This AI-driven system enhances every stage of marble production, from quality assurance to defect detection and end-to-end tracking. By enabling inline defect detection and objective sorting, STONE 4.0 significantly boosts production efficiency and elevates customer satisfaction. This technology embodies the concept of the “Marble Factory of the Future,” where every step of the production process is optimized and interconnected.
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Enhanced Cutting Processes: Precision and Safety Combined in regions such as Palestine, the stone cutting process is being revolutionized by the integration of AI and modern technologies. One of the most significant advancements is the use of convolutional neural networks (CNNs) for classifying marble slabs based on texture rather than color. This approach not only improves the precision of cutting processes but also enhances occupational safety and energy efficiency. By reducing the risk of human error and optimizing the use of resources, AI is making stone cutting both safer and more sustainable.
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Figure 7. AI solutions for stonecutting stages (Source: Abu Hanieh et al., 2024, JJME, 18(1): 207-218).
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Advanced Imaging and Analysis: Seeing Beyond the Surface AI is also playing a crucial role in enhancing the imaging and analysis of marble blocks. Researchers at Instituto Superior Técnico in Portugal are at the forefront of developing AI-based digitizers capable of “seeing” the colors inside marble blocks before they are cut. This cutting-edge technology allows manufacturers to plan and utilize marble blocks more effectively, reducing waste and ensuring a higher quality of the final product. By providing deeper insights into the material, AI-driven imaging is unlocking new possibilities for marble production.
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Customizable Quality Control Systems: Tailoring Perfection Customization is becoming increasingly important in the stone and marble industry, and AI is leading the way in developing intelligent quality control systems that can cater to specific customer needs. Companies like ARGEPLUS are creating AI-based systems capable of performing various selection tasks, including sorting by color ratio, pattern, brightness, size sensitivity, and crack rate. This level of customization allows manufacturers to produce high-quality, customer-specific products, enhancing the value of natural stone products on the international market.
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The Future of AI in the Stone and Marble Industry: Looking ahead, the future of AI in the stone and marble industry is bright. Ongoing developments are focused on further automating and refining production processes, leading to more consistent quality standards, improved production efficiency, and the ability to meet specific customer demands with greater accuracy. The adoption of AI and ML is not just a trend; it is a pivotal shift towards smarter, more sustainable practices in the industry.
As we approach the StoneTech Canada 2024 happening in October 22-24, 2024, at The International Centre – Hall 5, we invite industry professionals, innovators, and enthusiasts to explore these cutting-edge technologies and their transformative impact on the stone and marble sector. The integration of AI and ML is paving the way for a new era of precision, reliability, and sustainability, and we are thrilled to be at the forefront of this exciting evolution. Join us to discover how these advancements are shaping the future of the stone and marble industry.
Visit stonetecanada.com for more information, and Book your space today.
As we approach the StoneTech Canada 2024 happening in October 22-24, 2024, at The International Centre – Hall 5, we invite industry professionals, innovators, and enthusiasts to explore these cutting-edge technologies and their transformative impact on the stone and marble sector. The integration of AI and ML is paving the way for a new era of precision, reliability, and sustainability, and we are thrilled to be at the forefront of this exciting evolution. Join us to discover how these advancements are shaping the future of the stone and marble industry.
Visit stonetecanada.com for more information, and Book your space today.
