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Other Automation

GBOS

ITS2/3/5 Series

AI VisionScan Leather Nesting System

ITS2/3/5 Series

Product features

Leading AI leather nesting algorithm codes increase leather utilization rate, provide user-friendly experience, and unlock the full value of every inch of leather.

AI automatic nesting function.

Users can manually intervene in the layout results.

Equipped with defect detection and utilization functions.

Supports partitioning, pairing, and simultaneous nesting of multiple leather pieces.

Supports automatic counting function and can be combined with oscillating knife series systems and laser cutting systems.

AI-Powered Leather Inspection (Optional)

Automatically detects leather defects without manual marking.

AI Leather Grading System (Optional)

Classifies leather grades based on SATRA standards and outputs grading data.

GBOS New Deep Learning Large Model

The system self-purifies, becoming smarter with use. It automatically identifies leather defects, adapts to different colors and markings, significantly boosting efficiency while saving manpower and time.

Two High-definition Industrial Cameras

40 million pixels, with wider recognition accuracy and range.

Cardboard Matching Layout

For fur-integrated materials, nesting can be done through cardboard matching.

Double Color MatchingTypography

Different pieces are configured with different colors for distinction, and paired according to the piece data, improving work efficiency.

Multi-task Operation

In the same interface, multiple leather pieces can be photographed and nested simultaneously.

Nesting in Hair Direction

For hairy materials, nesting can be performed based on the direction of the hair.

Overlay Typography

Within the quality acceptance range, it achieves compatibility, knife eating, and improves utilization.

Utilization of Defects

Automatically arranges areas that can be hidden by stitching in flawed regions.

Product information, photographs and specifications: GBOS. No prices or stock here: ask us and we will get back to you.

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