Intelligent warehouse material identification method and system based on deep learning

A technology for intelligent warehousing and material identification, applied in the field of intelligent warehousing material identification based on deep learning, can solve the problem of low material identification accuracy, achieve the effect of improving learning ability, improving training effect, and alleviating low material identification accuracy

Active Publication Date: 2022-07-22
山东能源数智云科技有限公司
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  • Application Information

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Problems solved by technology

[0004] In view of this, the purpose of the present invention is to provide a method and system for intelligent storage material identification based on deep learning, so as to alleviate the technical problem of low material identification accuracy due to poor model training effect in the prior art

Method used

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  • Intelligent warehouse material identification method and system based on deep learning
  • Intelligent warehouse material identification method and system based on deep learning
  • Intelligent warehouse material identification method and system based on deep learning

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Embodiment 1

[0026] figure 1 It is a flowchart of a deep learning-based intelligent warehouse material identification method provided according to an embodiment of the present invention. like figure 1 As shown, the method specifically includes the following steps:

[0027] In step S102, a deep neural network model based on the target evolution algorithm is constructed and trained to obtain a trained deep neural network model.

[0028] In the embodiment of the present invention, the deep neural network model based on the target evolution algorithm is a deep neural network model using the target evolution algorithm instead of BP on the basis of the traditional deep neural network based on error back propagation algorithm (BP). Among them, the target evolution algorithm is an evolution algorithm after improving the operator of the traditional evolution algorithm. Specifically, the target evolution algorithm includes: a target selection operator, a target crossover operator and a target mut...

Embodiment 2

[0142] Figure 7 A schematic diagram of a deep learning-based intelligent warehouse material identification system provided according to an embodiment of the present invention. like Figure 7 As shown, the system includes: a first training module 10 , a second training module 20 and an identification module 30 .

[0143] Specifically, the first training module 10 is used for constructing and training a deep neural network model based on the target evolution algorithm to obtain a trained deep neural network model.

[0144] In the embodiment of the present invention, the deep neural network model based on the target evolution algorithm is a deep neural network model using the target evolution algorithm instead of BP on the basis of the traditional deep neural network based on error back propagation algorithm (BP). Among them, the target evolution algorithm is an evolution algorithm after improving the operator of the traditional evolution algorithm. Specifically, the target e...

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Abstract

The invention provides an intelligent storage material identification method and system based on deep learning, and the method comprises the steps: constructing a deep neural network model based on a target evolution algorithm, and carrying out the training, and obtaining a trained deep neural network model; a deep forest classification model based on a multi-target optimization model is constructed and trained, and a target deep forest classification model is obtained; based on the trained deep neural network model and the target deep forest classification model, identifying storage materials in the to-be-identified image; the to-be-recognized image is an image containing the storage material. The technical problem of low material identification precision caused by poor model training effect in the prior art is relieved.

Description

technical field [0001] The invention relates to the technical field of intelligent storage, in particular to a deep learning-based intelligent storage material identification method and system. Background technique [0002] Intelligent warehousing By building an intelligent three-dimensional warehouse, it can effectively reduce or even eliminate the corresponding material management problems, automate operations such as warehouse delivery, warehousing, and inventory, reduce warehouse operators, and display various system reports and early warnings in real time. . [0003] Material identification has become a key link in intelligent warehousing, and ensuring the accuracy of material identification is the primary task of realizing intelligent warehousing management. In response to this problem, material recognition is studied from the perspective of image analysis or visual computing. Classification algorithms based on traditional machine learning for material identification...

Claims

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Application Information

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IPC IPC(8): G06V10/764G06V10/82G06K9/62G06N3/00G06N3/04G06N3/08
CPCG06N3/006G06N3/08G06N3/045G06F18/24323Y02P90/30
Inventor 尹旭王玉石朱运恒包明明
Owner 山东能源数智云科技有限公司
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