A 3D point cloud-based intelligent cutting method with bones and meat

By using a 3D point cloud-based intelligent cutting method, the problems of shape adaptation and coordinate transformation in bone-in meat cutting are solved, achieving high-precision and consistent cutting results, which is suitable for automated cutting of bone-in meat.

CN122415653APending Publication Date: 2026-07-17NANJING AGRICULTURAL UNIVERSITY

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NANJING AGRICULTURAL UNIVERSITY
Filing Date
2026-06-15
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing automated cutting methods are difficult to adapt to the natural curvature and local thickness variations of meat with bone, resulting in large deviations in the cutting position. Furthermore, there is a lack of effective spatial coordinate transformation and system error compensation between visual scanning and mechanical cutting, which affects cutting accuracy and reliability.

Method used

A 3D point cloud-based intelligent cutting method is adopted, which achieves precise cutting by point cloud acquisition and 3D reconstruction, preprocessing, independent rib segmentation, skeleton curve extraction and fitting, combined with adaptive normal tangent construction and coordinate transformation compensation.

Benefits of technology

It improves the accuracy and consistency of cutting, ensures that the cut surface can dynamically conform to complex curved surface shapes, reduces overcutting or undercutting, and enhances the system's positioning robustness and cutting accuracy on complex surfaces.

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Abstract

本发明公开了一种基于3D点云的带骨肉智能切割方法,属于智能切割技术领域。通过3D视觉传感器实时采集带骨肉截面轮廓数据,并结合输送位移重建三维点云模型;针对肋骨弯曲、肋间边界不清及肉层厚度不均问题,引入凹陷深度、局部曲率与截面连续性联合约束,自适应分割独立肋条点云区域。对单条肋条进行主成分定向,提取连续截面中心点并拟合三次B样条骨架曲线,通过弧长参数化自适应确定分切数量与切割位置;再基于骨架切向量建立法向切面,并结合曲率和厚度修正生成最终切割点。经坐标转换与固定距离补偿输出执行参数,实现带骨肉精准定长切割,提高切割精度和产品一致性。
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