Point cloud amount square algorithm based on irregular object

Abstract

The invention discloses a point cloud amount square algorithm based on an irregular object. The method specifically comprises the following steps that after data is obtained through preliminary scanning, preprocessing is carried out through a data preprocessing unit, a picture is analyzed according to a cargo detection picture to generate point cloud data, missing data is filtered and compensatedin a space segmentation mode, and data transformation is carried out. The method relates to the technical field of cargo volume calculation. According to the point cloud amount square algorithm basedon the irregular object, on the basis of 3D point cloud data, an irregular object volume calculation model is established; a maximum value (max) and a minimum value (min) are found out for the Z_labeldata according to the projection area; equal-interval data segmentation is carried out according to the data length (max-min), the area of a segmentation plane is calculated according to the size ofa projection area in a projection plane, an infinitesimal thought is proposed according to the data characteristics of 3D point cloud to segment an irregular object, an approximately regular object issegmented, then volume calculation is carried out, and the obtained calculation effect is more accurate.

Description

technical field [0001] The invention relates to the technical field of cargo volume calculation, in particular to a point cloud amount square algorithm based on irregular objects. Background technique [0002] Logistics is a part of supply chain activities, which is the process of planning, implementing and controlling the efficient and low-cost flow and storage of goods, services and related information from the point of origin to the point of consumption in order to meet the needs of customers. [0003] At present, in the logistics industry, most of the parcels are measured, weighed, scanned, recorded, and calculated by hand. In addition to heavy workload and low efficiency, it also requires high labor costs. Existing intelligent machines in the same field can solve the square size of regular objects, but the calculation of the square of irregular objects cannot be intelligently calculated. At the same time, the visual algorithm has high requirements for the light of the g...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the existing technology, the present invention provides a point cloud volumetric algorithm based on irregular objects, which solves the problem that the calculation of the volumetric volume of irregular objects cannot be calculated intelligently, and at the same time, the visual algorithm has high requirements on the light of goods. The receiving time of different light signals is inconsistent, and the test error under different cargo backgrounds is very large, especially under the condition of particularly dim light inside the compartment, the machine vision algorithm conditions cannot meet the test requirements.

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