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A method and system for intelligent cargo supervision based on twin neural network

A neural network and cargo technology, applied in the field of intelligent cargo supervision based on twin neural network, can solve the problems of high error rate, low efficiency, hindering the intelligent development of warehousing system, saving manpower and material resources, enhancing recognition ability, and improving warehousing. The effect of work efficiency

Active Publication Date: 2022-02-25
北京中超伟业信息安全技术股份有限公司
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Problems solved by technology

However, the existing warehousing system generally has problems such as low efficiency and high error rate in the supervision of incoming goods, which seriously hinders the intelligent development of the warehousing system. Therefore, an efficient and reliable intelligent goods supervision method is urgently needed

Method used

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  • A method and system for intelligent cargo supervision based on twin neural network
  • A method and system for intelligent cargo supervision based on twin neural network

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Embodiment Construction

[0052] 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 making creative efforts belong to the protection scope of the present invention.

[0053] The purpose of the present invention is to provide an intelligent goods supervision method and system based on twin neural network, so as to realize the intelligent supervision of stored goods.

[0054] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0055] fi...

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Abstract

The invention relates to an intelligent goods supervision method and system based on a twin neural network. The method includes acquiring the image of the shelf to be detected; the image of the shelf to be detected is based on the image of each shelf in the warehouse taken by an industrial camera; searching in the standard shelf image library to obtain the standard shelf corresponding to the image of the shelf to be detected image; the standard shelf image is that the shelf is in a full warehouse state, and the display of goods meets the set requirements; according to the shelf image to be detected and the corresponding standard shelf image, the trained goods recognition network model is used to determine the shelf image to be detected The detection results; the detection results include: the inventory and location of various goods, the number of free positions on the shelf, and whether the goods meet the storage placement requirements; the invention realizes the intelligent supervision of warehouse goods.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to an intelligent goods supervision method and system based on a twin neural network. Background technique [0002] As the core link in the development of modern logistics industry, intelligent warehousing plays a vital role in promoting the intelligent upgrading of China's logistics industry. However, the existing warehousing system generally has problems such as low efficiency and high error rate in the supervision of incoming goods, which seriously hinders the intelligent development of the warehousing system. Therefore, an efficient and reliable intelligent goods supervision method is urgently needed. Contents of the invention [0003] The purpose of the present invention is to provide an intelligent goods supervision method and system based on twin neural network, so as to realize the intelligent supervision of stored goods. [0004] To achieve the ab...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/583G06F16/58G06V20/20G06V10/22G06V10/74G06V10/764G06V10/774G06V10/80G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06F16/583G06F16/5866G06N3/04G06N3/08G06F18/22G06F18/214G06F18/24G06F18/253
Inventor 罗远哲刘瑞景李玉琼王玲洁吕雪萍杨京丁京李连庚闫路博
Owner 北京中超伟业信息安全技术股份有限公司
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