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Express waybill number identification method, device and equipment based on machine learning

A technology of machine learning and recognition methods, applied in instruments, biological neural network models, logistics, etc., can solve the problems of low efficiency and low recognition rate of courier tracking number recognition technology, and achieve high practicability

Pending Publication Date: 2020-08-25
SHANGHAI ZHONGTONGJI NETWORK TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] This application provides a machine learning-based method, device, and equipment for express tracking number identification to solve the problems of low efficiency and low recognition rate of existing express delivery tracking number identification technologies

Method used

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  • Express waybill number identification method, device and equipment based on machine learning
  • Express waybill number identification method, device and equipment based on machine learning
  • Express waybill number identification method, device and equipment based on machine learning

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Embodiment

[0050] see figure 1 , figure 1 It is a schematic flow chart of a machine learning-based express delivery tracking number identification method provided in the embodiment of the present application. like figure 1 As shown, the method includes the following steps:

[0051] S101: Obtain the target courier number to be identified;

[0052] It should be noted that the specific method of obtaining the courier tracking number is not an improvement point of this application. In actual application, it can be implemented in a common way in the prior art, without limitation. For example, during courier sorting, the camera can Take a photo of the face sheet on the express package, and then identify the photographed image information to obtain the express order number.

[0053] S102: Input the target courier number into the pre-trained courier number recognition model to obtain the recognition result;

[0054] Specifically, the express delivery order number recognition model is a reco...

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PUM

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Abstract

The invention relates to an express waybill number identification method, a device and equipment based on machine learning. The method comprises the steps of obtaining a to-be-identified target express waybill number; inputting the target express waybill number into a pre-trained express waybill number identification model to obtain an identification result; and determining an express company corresponding to the target express waybill number based on an identification result. According to the setting, a user does not need to manually compile an identification rule, and the identification rulecan be automatically generated, so that the efficiency is higher, careless omission does not easily occur, and meanwhile, the identification accuracy can be ensured under the condition that historical data is enough. Besides, when rules of express waybill numbers are modified or express companies are newly added, the machine learning algorithm can automatically correct the recognition model without manual intervention, so that the method has very high practicability.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular to a machine learning-based method, device and equipment for express tracking number identification. Background technique [0002] With the continuous improvement of e-commerce trading platforms, more and more people purchase the commodities they need through online shopping. The goods purchased online will be delivered to the buyer by express delivery. This process will involve the courier number identification technology, that is, the corresponding courier company can be identified by the courier number. [0003] At present, the commonly used method of express tracking number recognition is based on regular expressions. However, in this method, it is necessary to manually analyze the rules of the courier tracking number to write regular expressions for matching, so the efficiency is low. A small amount of modification has been made to the rule, but i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/08G06F16/332G06F16/35G06N3/04
CPCG06Q10/083G06F16/332G06F16/35G06N3/044G06N3/045
Inventor 朱晶熙张关举林文升刘翔顾贺孙张昊邱国兴王海丽马晓峰
Owner SHANGHAI ZHONGTONGJI NETWORK TECH CO LTD
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