Commodity display analysis method, device, equipment and storage medium
An analysis method and commodity technology, applied in the field of computer vision, can solve problems such as time-consuming, difficult to guarantee inspection quality, and market misjudgment.
Active Publication Date: 2021-09-14
GUANGZHOU XUANWU WIRELESS TECH CO LTD
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Problems solved by technology
In this process, manual display inspection not only takes a lot of time, but also the inspection quality is difficult to guarantee
In order to control costs, FMCG companies often only conduct sampling surveys, and cannot obtain complete and real data for comprehensive insights and analysis, resulting in misjudgment of the market by companies
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[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0028] It should be understood that the step numbers used herein are only for convenience of description, and are not intended to limit the execution order of the steps.
[0029] It should be understood that the terminology used in the description of the present invention is for the purpose of describing particular embodiments only and is not intended to limit the present invention. As used in this specification and the appended claims, the singular forms "a", "an"...
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The invention discloses a commodity display analysis method, device, equipment and storage medium, and relates to the technical field of computer vision. The method includes identifying shelf information and SKUs placed on the shelf according to the acquired shelf photos, frame-selecting the SKUs, and marking the SKU frame; using an instance segmentation algorithm to frame-select different scenes and layers on the shelf photos , and mark the scene instance segmentation information and layer instance segmentation information on the scene selection box and the layer selection box; associate the scene with the corresponding layer according to the instance segmentation information, associate the layer with the corresponding SKU, and complete the layer identification and get the association result. The present invention can accurately calculate vacancy information based on accurate scene, layer instance segmentation information and SKU display information, can significantly improve the recognition accuracy of commodity vacancies and the number of floors where vacancies are located, and provide more accurate display analysis for fast-moving consumer goods enterprises, assisting them to identify Precise control of the market.
Description
technical field [0001] The present invention relates to the technical field of computer vision, in particular to a commodity display analysis method, device, equipment and storage medium. Background technique [0002] The shelf and freezer scene is an important carrier for many large-scale fast-moving consumer goods companies to make their terminals vivid. Their compliant display is an important trump card for capturing more consumers, quickly controlling and operating terminals, and has a huge impact in sales competition. In the past, display inspections relied entirely on numerous salespersons visiting the store to complete display statistics through human eyes and by hand. In this process, manual display inspection not only takes a lot of time, but also the inspection quality is difficult to guarantee. In order to control costs, FMCG companies often only conduct sampling surveys, and cannot obtain complete and real data for comprehensive insights and analysis, resulting ...
Claims
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IPC IPC(8): G06K9/00G06K9/32G06K9/34G06N3/04
CPCG06V20/10G06V10/25G06V10/267G06N3/045
Inventor 王杰丁明李海荣陈永辉
Owner GUANGZHOU XUANWU WIRELESS TECH CO LTD