Method for measuring goods distance based on binocular vision

A technology of distance measurement and binocular vision, applied in measurement devices, image analysis, instruments, etc., can solve problems such as increasing labor intensity, and achieve the effect of reducing labor intensity, rational placement, and improving utilization.

Inactive Publication Date: 2017-08-11
STATE GRID CORP OF CHINA +3
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  • Claims
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AI Technical Summary

Problems solved by technology

The goods in the inventory are subject to frequent outbound, inbound, and inventory operations. Traditional inventory management requires manpower to complete the above operations. Frequent operations not only increase the labor intensity of labor, but also due to the variety of items, Increased requirements for the design and placement of warehouse shelves and the arrangement of storage locations for goods

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  • Method for measuring goods distance based on binocular vision

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Embodiment Construction

[0015] In order to deepen the understanding of the present invention, the present invention will be further described below in conjunction with the embodiments and accompanying drawings. The embodiments are only used to explain the present invention and do not constitute a limitation to the protection scope of the present invention.

[0016] Such as figure 1 It shows a specific implementation of the binocular vision-based cargo distance measurement method of the present invention: it specifically includes the following steps: the binocular camera collects a color image, and first converts the binocular color image collected into binocular gray Degree Image I l (x,y) and I r (x, y), their maximum value is 255; for the binocular grayscale image I l (x,y) and I r (x, y) Use the OTSU threshold method to segment the image foreground and background, assuming that the pixel value of the foreground goods remains unchanged, and the background pixel value is zero, the result is still...

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Abstract

The invention discloses a method for measuring a goods distance based on binocular vision. The method comprises the following steps: a binocular image is obtained from a binocular camera, and the obtained image is subjected to preprocessing; camera parameters are obtained by a camera parameter calibration algorithm, and an imaging model is established; SIFT features of the binocular image are extracted, and the binocular image is subjected to stereo matching according to the extracted features; and the distance between goods and the camera is calculated and converted into the distance between the goods. Based on computer binocular vision principles, the method realizes reasonable placement of warehouse shelves, achieves reasonable warehouse position allocation of newly warehoused goods according to the own characteristics of a warehouse, and reduces the work intensity of a warehouse manager.

Description

[0001] Technical field: [0002] The technology relates to the field of computer vision processing, in particular to a binocular vision-based cargo distance measurement method. [0003] Background technique: [0004] With the rapid development of production technology and human needs, warehousing inventory plays an increasingly important role in enterprises. The goods in the inventory are subject to frequent outbound, inbound, and inventory operations. Traditional inventory management requires manpower to complete the above operations. Frequent operations not only increase the labor intensity of labor, but also due to the variety of items, The requirements for the design and arrangement of warehouse shelves and the arrangement of storage locations for goods have been raised. In recent years, computer vision has been greatly developed and has been widely used in traffic safety management, face recognition and other fields. [0005] Using the theory of binocular vision, realize...

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Application Information

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IPC IPC(8): G06T7/11G06T7/136G06T7/80G01B11/14
Inventor 宋纪恩王金虎朱富云戴相龙唐玉婷张清玉朱卫张宏林韩斌张珂铭巫媛媛罗挺
Owner STATE GRID CORP OF CHINA
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