Goods shelf shooting integrity detection method, system and equipment and computer readable storage medium

Abstract

The invention provides a shelf shooting integrity detection method, system and device and a computer readable storage medium, which are used for judging whether shelf shooting is complete or not. The detection method specifically comprises the following steps: obtaining a goods shelf image, and inputting the goods shelf image into a preset integrity judgment model to obtain a judgment result of whether the goods shelf is completely shot or not. Wherein under the condition that the goods shelf image covers all goods shelf commodities in the shop, it is judged that goods shelf shooting is complete. The technical scheme is implemented. The goods shelf shooting integrity in the shop visiting process can be automatically judged, and a response can be made in time and a re-shooting plan can be arranged when the goods shelf shooting is incomplete, so that the current situation that incomplete goods shelf shooting image data can only be abandoned after being received by a brand party is avoided; and the effectiveness of obtaining the original shelf image data in the shop visiting process is greatly improved.

Description

technical field [0001] The present disclosure relates to the technical field of image recognition, and specifically discloses a method, system, device and computer-readable storage medium for detecting the integrity of shelf photography. Background technique [0002] With the continuous development of industrial intelligence and informatization, the fast-moving consumer goods industry has also developed very rapidly in recent years. In order to ensure that the brand side can control the marketing situation in a timely manner, it is necessary for store visitors to visit the stores and obtain information based on the visits. The actual display and sales of goods on the shelf give feedback on the time-length marketing of the goods. For example, in the daily chemical project under the FMCG category, a store visitor needs to take shelf images of shelves covering 11 product categories during a store visit. Each product category and its product sub-categories There are 1 to 3 shel...

AI Technical Summary

Problems solved by technology

For example, in the daily chemical project under the FMCG category, a store visitor needs to take shelf images of shelves covering 11 product categories during a store visit. Each product category and its product sub-categories There are 1 to 3 shelves corresponding to the category, and the workload and shooting items of a single store visit are relatively complicated

[0003] It is understandable that store visitors are often not professional FMCG practitioners, so it is impossible to accurately judge whether the shelves of all categories in charge have been fully photographed based on professional knowledge in the FMCG industry

During the actual store visit process, store visitors tend to miss some of the shelves corresponding to the product categories they are responsible for, resulting in the lack of shelf images, making it impossible to obtain the required complete store visit results during the store visit process

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