Automatic Product Enrollment via 3D Modeling and Weight Distribution

The patent replaces manual mechanical information capture with an automated vision-based system. Multiple cameras (RGB and depth) capture product images automatically, and computer vision algorithms construct 3D models and extract information without human intervention. This substitution enables high-speed automated enrollment while maintaining information accuracy through algorithmic processing.

The system creates digital copies of physical products through photogrammetry and 3D modeling. By capturing multiple images from different angles and constructing virtual 3D representations, the system copies product geometry and appearance data automatically. This copying approach enables scalable enrollment of millions of products without requiring physical handling or manual measurement of each item.

The patent divides the measurement task into specialized segments handled by different sensors: RGB cameras capture color and texture information, depth cameras capture geometric data, and scales capture weight information. Each sensor type is optimized for specific measurement purposes, improving overall precision while allowing modular system design that manages complexity through functional specialization.

The transparent conveyor belt serves multiple functions: it transports products through the system, provides a reflective surface for accurate bottom-view imaging, and allows passage of light for multi-angle capture. This multi-functionality reduces the need for additional dedicated components, managing device complexity while maintaining measurement completeness.