Truck loading rate recognition method and device, equipment and storage medium

A technology of truck loading and identification methods, applied in the field of logistics management, can solve the problems of waste of logistics resources, inability to quickly identify vehicle loading rates, and increased logistics costs

Pending Publication Date: 2020-07-14
SHANGHAI DONGPU INFORMATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to solve the current problem of waste of logistics resources and increased logistics costs due to the inability to quickly identify the vehicle loading rate

Method used

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  • Truck loading rate recognition method and device, equipment and storage medium
  • Truck loading rate recognition method and device, equipment and storage medium
  • Truck loading rate recognition method and device, equipment and storage medium

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Embodiment Construction

[0073] Embodiments of the present invention provide a truck loading rate identification method, device, equipment, and storage medium. In the technical solution of the present invention, the image of the truck loading scene is first acquired and then marked to obtain the marked file, and then the The image and annotation file are input together into the preset MASK R-CNN model with ResNet-101 as the feature extraction network, and it is trained through the image and annotation file to obtain the cargo recognition model. Since the MASK R-CNN model is more accurate than the previous instance segmentation model, and ResNet-101 can extract more and finer features, while improving the efficiency of cargo recognition, by calculating the The contour area of ​​the entire contour or part of the contour to estimate the loading rate of the corresponding truck. Since the MASK R-CNN model is more accurate than the previous instance segmentation model, and ResNet-101 can extract more and fi...

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Abstract

The invention relates to the field of logistics management, and discloses a truck loading rate recognition method and device, equipment and a storage medium. The method comprises the following steps:obtaining a shot image of a truck loading scene, marking the image to obtain a marking file, inputting the image and the marking file into a preset MASK R-CNN model of an extraction network by takingResNet-101 as a feature, and training the model through the image and the marking file to obtain a cargo identification model; and acquiring an image in a truck loading scene captured in real time, inputting the image into the cargo identification model, outputting the area range of each loaded cargo, calculating the contour area of the corresponding cargo in the image according to the area rangeof each cargo, and calculating the loading rate according to the stacking area of the loaded cargos and the preset no-load area of the truck carriage. According to the invention, the accuracy of goodsidentification is improved through the goods identification model obtained through training, so that the truck loading rate is improved.

Description

technical field [0001] The invention relates to the field of logistics management, in particular to a method, device, equipment and storage medium for identifying the loading rate of trucks. Background technique [0002] With the rapid development of the logistics industry, logistics has penetrated into all aspects of people's daily life. With the popularity of e-commerce, more and more people purchase goods through the Internet. In response to the increasing demand for cargo transportation, the current sorting of goods mostly adopts automatic cargo sorting systems. The cargo sorting system consists of a control device, a sorting device, a conveying device and a sorting crossing. The control device is mainly used to identify, receive and process sorting signals. [0003] With the development of automation, the control device can determine the position of the goods through the image and obtain the corresponding goods information. However, because there are many types of g...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/08
CPCG06Q10/06315G06Q10/083G06Q10/0833
Inventor 李斯赵齐辉
Owner SHANGHAI DONGPU INFORMATION TECH CO LTD
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