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Violent sorting identification method based on VGG network, device and equipment, and storage medium

A recognition method, the technology of VGG16, applied in neural learning methods, character and pattern recognition, biological neural network models, etc., can solve problems such as uneconomical, inefficient monitoring methods, and consumption.

Pending Publication Date: 2020-10-27
SHANGHAI DONGPU INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Based on the above problems, the currently used solution is to score the salesperson through human monitoring and customer feedback, and process the salesperson according to the score, but this monitoring method is too inefficient and consumes too much manpower resources, it is not cost-effective
The existing technology uses AI technology to monitor violent sorting, but the current application level of AI technology is insufficient. Therefore, there is no set of algorithms for personnel sorting and cargo identification.

Method used

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  • Violent sorting identification method based on VGG network, device and equipment, and storage medium
  • Violent sorting identification method based on VGG network, device and equipment, and storage medium
  • Violent sorting identification method based on VGG network, device and equipment, and storage medium

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Experimental program
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Embodiment 1

[0039] This embodiment provides a VGG network-based violence sorting and recognition method, the flow chart of which is as follows figure 1 As shown, it specifically includes the following steps.

[0040] S100: On the basis of the original VGG16 network, replace the Flatten layer of the VGG16 network to construct a VGG network different from the original VGG16 network architecture.

[0041] S200: Obtain training samples through the DSS monitoring platform, and train the VGG network according to preset training conditions.

[0042] S300: Import the violent sorting image to be recognized into the trained VGG network for recognition, so as to recognize the people sorting goods in the violent sorting image.

[0043] Before the specific description of the above steps S100-S300, this embodiment first describes the existing VGG16 network.

[0044] Existing VGG16 networks such as figure 2 As shown, the following network layers are included:

[0045] (1) Contains 13 convolutional ...

Embodiment 2

[0090] Based on Embodiment 1, this embodiment provides a VGG network-based violence sorting and recognition device, the principle diagram of which is as follows Figure 6 As shown, it includes a VGG network construction module 100 , a training module 200 and a recognition module 300 .

[0091] The VGG network construction module 100 is used to replace the Flatten layer of the VGG16 network on the basis of the original VGG16 network, so as to construct a VGG network different from the original VGG16 network architecture; specifically, GlobalAveragePooling2D is used to replace the Flatten layer.

[0092] For the structure of the VGG16 network and the working principles of the Flatten layer and GlobalAveragePooling2D, please refer to Embodiment 1 for details, and details will not be described in this embodiment.

[0093] The training module 200 is used to obtain training samples through the DSS monitoring platform, and train the VGG network according to preset training conditions...

Embodiment 3

[0105] Based on Embodiment 1 and Embodiment 2, this embodiment provides a violent sorting and identification device. The schematic diagram of the terminal device is as follows Figure 7 As shown, the device 700 may be a tablet computer, laptop computer or desktop computer. The terminal device 700 may also be called a portable terminal, a laptop terminal, a desktop terminal and other names.

[0106] Generally, the terminal device 700 includes a processor 7001 and a memory 7002, and the processor 7001 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the like. The processor 7001 can be realized by at least one hardware form in DSP (Digital Signal Processing, digital signal processing), FPGA (Field-Programmable Gate Array, field programmable gate array), PLA (Programmable Logic Array, programmable logic array) . The processor 7001 may also include a main processor and a coprocessor, the main processor is a processor for processing da...

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Abstract

The invention provides a violent sorting identification method, device and equipment based on a VGG network and a storage medium. The violent sorting identification method comprises the following steps: S100, on the basis of an original VGG16 network, replacing a Flatten layer of the VGG16 network so as to construct a VGG network different from an original VGG16 network architecture; S200, obtaining a training sample through a DSS monitoring platform, and training the VGG network according to a preset training condition; and S300, importing the violent sorting image to be identified into the trained VGG network for identification so as to identify personnel sorting goods in the violent sorting image. In the method, a Flatten layer of a VGG16 (Virtual Gateway Gateway 16) network is replacedby using GlobalAvergePooling2D (Two-Dimensional); the relation between network layers in the VGG16 network is increased, the VGG network is trained according to the preset training condition, the learning rate can be dynamically adjusted according to the training condition, exploration of the VGG network is facilitated in the earlier stage, and local convergence of the VGG network is facilitatedin the later stage.

Description

technical field [0001] The present invention relates to the technical field of express delivery sorting, in particular to a VGG network-based violent sorting identification method, device, terminal equipment and storage medium. Background technique [0002] In recent years, with the rapid development of the express delivery industry, complaints about littering and damage to express deliveries have increased dramatically. On the surface, the reason for the complaint is the poor service level of employees, but in the final analysis, private express delivery is mostly based on the franchise system. Due to loose management and low entry barriers, it is difficult to strictly regulate the management and employee training of grassroots outlets. Among them, violent sorting is a very prominent problem. Cargo sorting is an intermediate process in the express delivery industry. Due to the heavy workload, employees often do not operate according to the norms and classify the items by t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/20G06V20/52G06V10/454G06N3/048G06N3/045G06F18/214
Inventor 李斯赵齐辉
Owner SHANGHAI DONGPU INFORMATION TECH CO LTD
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