True Pattern Analysis
Tundra AI’s True Pattern Analysis uses AI to detect vein density, direction, and thickness, creating a unique digital fingerprint for each slab to ensure precise identification and classification.
Unlock the Power of AI-Driven Pattern Analysis
Accurately Detect Vein Density, Direction, and Thickness While Generating Unique Fingerprint IDs for Every Marble Slab.
Natural Larvikite with Subtle Contour Variations
Precisely capture intricate marble patterns with Tundra AI’s vein density analysis. Our AI identifies high-density veining, ensuring accurate classification and seamless grouping for richly patterned slabs.
Early Partner: LUNDHS Blue®, Norway
Target: Provide reliable classification for slabs with high vein concentration, ensuring consistent visual texture across grouped slabs.
Marble Slab with Complex Patterns
Ensure perfect alignment with Tundra AI’s vein direction detection. Our AI analyzes vein orientation, enabling flawless slab matching and aesthetic consistency across installations.
Early Partner: Marmi Di Carrara, Italy
Target: Facilitate seamless slab alignment by accurately detecting vein flow direction, ensuring a natural and continuous appearance in installations.
Larvikite stones with High Vein Contrast
Showcase bold, prominent designs with Tundra AI’s thick vein analysis. Our AI detects and classifies slabs with prominent veins, delivering consistency for visually striking marble slabs.
Early Partner: LUNDHS Blue®, Norway
Target: Deliver precise separation of primary colors and veins, enabling better slab grouping and improving visual consistency in large-scale installations.
Light-Colored Marble with Variable Vein Direction
Highlight delicate patterns with precision using Tundra AI’s thin vein analysis. Our AI accurately measures fine vein thickness, ensuring consistent grouping for slabs with subtle detailing.
Early Partner: Cicekmersan, Turkey
Target: Accurately group slabs with fine vein patterns, ensuring uniformity in projects that require delicate and intricate designs.