Volume calculation method and system based on 3D camera and storage medium

Abstract

The invention relates to a volume calculation method based on a 3D camera. The method comprises the following steps: obtaining a 2D image and a depth image of a measured object; selecting an ROI range, constructing a reference plane at the same time, delimiting a detection range, and extending the detection range outwards to obtain a judgment range; judging whether the measured object needs to be automatically calibrated or not; whether external interference exists in the detection range or not is judged, and height information of the detected object after interference elimination is calculated; calculating the most frequency value of height distribution according to the depth image information, obtaining the pixel number values of length and width according to the 2D information and the depth image information, calculating the pixel ratio by combining the pixel number values of length and width with the most frequency value, and finally obtaining the length and width information of the measured object. And calculating the volume of the measured object according to the height information and the length and width information of the measured object. The interference of a measurement environment, the external interference of a detection range and the interference of foreign matters on a measured object can be eliminated, the volume measurement efficiency and precision are improved, and the cost is saved.

Description

technical field [0001] The present invention relates to the field of image technology, in particular to a volume calculation method, system and storage medium based on a 3D camera. Background technique [0002] The traditional method on the assembly line of the logistics industry is to manually measure the volume and weight information of each object, and then enter it into the logistics information management system. In this way, not only the labor input is large, the cost is high, but the efficiency of the whole process is very low. The most important point is that the labor is prone to fatigue and has a certain degree of subjectivity, which leads to the inability to accurately measure the volume. Moreover, the actual use environment of the logistics industry is complex and changeable. Changes in the ambient temperature may cause a certain temperature drift in the data obtained by the sensor. During the measurement process, human hands or other objects appearing in the mea...

AI Technical Summary

Problems solved by technology

In this way, not only the labor input is large, the cost is high, but the efficiency of the whole process is very low. The most important point is that the labor is prone to fatigue and has a certain degree of subjectivity, which leads to the inability to accurately measure the volume.

Moreover, the actual use environment of the logistics industry is complex and changeable. Changes in the ambient temperature may cause a certain temperature drift in the data obtained by the sensor. During the measurement process, human hands or other objects appearing in the measurement range will interfere with the measurement of the object volume.

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