Logistics box volume and weight measurement system and implementation method thereof

Abstract

The present invention discloses a logistics box volume and weight measurement system. The system comprises a mounting rack, conveyor belts, an electronic scale, a buphthalmia ball plate, a fine tuningsupport, a signal processing system, an X-direction tuning part, a Y-direction tuning part, a Z-direction tuning part, LED bar-shaped light sources, an industrial camera and a laser distance measurement module which are arranged on the mounting rack. The signal processing system calculates the volume of a logistics box according to height data obtained by employing the laser distance measurementmodule, area data obtained through image analysis and input information, and gives weight of the logistics box; the logistics box volume and weight measurement system and the implementation method thereof can achieve real-time automatic measurement of the volume and the weight of the logistics box on a production line at the same time, and are efficient and accurate; and moreover, compared to a screen target method or dual (multi)-view vision measurement system, the system provided by the invention does not need matching of feature points, and therefore problems of low texture of objects, repeat texture, overlapping and non-continuity are solved, and computation complexity is observably reduced.

Description

technical field [0001] The invention relates to the technical field of non-contact intelligent measurement and control, in particular to a logistics box volume and weight measurement system and an implementation method thereof. Background technique [0002] Visual measurement technology belongs to computer vision technology. It is an engineering discipline that takes pictures of objects through cameras, obtains image information, and then performs image analysis to obtain information such as the pose and size of objects. It is divided into monocular vision and double (multi) vision. Vision technology; for measuring objects, computer vision is not affected by artificial factors, and its accuracy is not limited by the accuracy of reference objects such as measuring scales. Compared with traditional manual scale measurement, it has the advantages of fast, accurate, non-contact and low cost. It is suitable for batch automated measurement, which greatly reduces labor costs and im...

AI Technical Summary

Problems solved by technology

The fixed threshold segmentation method is seriously affected by illumination changes; the edge segmentation method is seriously disturbed by object texture; the maximum inter-class variance method can effectively suppress the impact of illumination changes, but if the mirror reflection occurs on the smooth surface of the object, or the gray surface of the object surface and the background There are obvious 3 or more gray levels, and it is often easy to only segment the area of ​​reflection or the highest brightness gray level, while ignoring other parts of the object.

Images