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Express self-service pick-up method based on face recognition

A face recognition and facial information technology, applied in neural learning methods, character and pattern recognition, computer parts and other directions, can solve problems such as time-consuming and laborious, and achieve reasonable steps, easy promotion and use, and convenient effects.

Pending Publication Date: 2021-06-22
陈娅莉
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Express pick-ups are all carried out in the form of courier stations (collection points), and the pick-up is mainly manual supervision, which is time-consuming and laborious

Method used

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  • Express self-service pick-up method based on face recognition

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Embodiment Construction

[0021] Such as figure 1 As shown, the present invention based on a face-based express delivery method, including the following steps:

[0022] Step 1, enter your own face information in the network registration platform, match the shipping address and the receipt connection;

[0023] Step II. When the courier arrives at the unattended courier station, the courier will go to the warehouse, pick up the notice to send to the user's mobile phone;

[0024] Step 3, depending on the size of the snapshot, the courier is delivered to the appropriate location by the automatic control system;

[0025] Step 4, when the customer reaches the unattended courier station, perform face recognition before the camera;

[0026] Step 5. Touch all express pieces stored in the unmanned express delivery station on the touch display, select the library;

[0027] Step 6. The automatic control system will take the customer to go out the courier of the library, and transport to the shipping port.

[0028] In ...

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Abstract

The invention discloses an express self-service pick-up method based on face recognition, and the method comprises the steps: 1, inputting the face information of a user in a network registration platform, and enabling the face information to be matched with a receiving address and a receiving contact way; 2, a courier scans a code for warehousing, and sends a pickup notice to a mobile phone terminal of a user; thirdly, automatic storage is carried out according to the size of the express; 4, performing face recognition in front of the camera during pick-up; 5, all the express items stored in the unattended express delivery station are displayed on the touch display screen, and the express items are selected to be delivered out of the warehouse; and sixthly, the automatic control system conveys the express parcels needing to be delivered out of the warehouse by the client to a goods outlet. The method is reasonable in step and convenient to implement, self-taking of the express in the unattended courier station is achieved through face recognition, convenience and rapidness are achieved, express logistics information can be inquired through face recognition, the use effect is good, and application and popularization are facilitated.

Description

Technical field [0001] The present invention belongs to the field of logistics expressions, and in particular, the present invention relates to a method of expressing self-help pickup method based on face recognition. Background technique [0002] With the rapid development of online shopping, the express service industry has also emerged in recent years. Whether it is a campus or a community, more and more goods delivered through express delivery. The courier pickup is carried out in the form of a express delivery station (collection point), and is based on manual supervision pickup, and the time is laborious. Inventive content [0003] The technical problem to be solved by the present invention is to provide a method based on the prior art in the prior art, which provides a man-face-based express self-help pickup method. Its step is reasonable and convenient. It has realized the unattended station through face recognition. The piece of self-timing is convenient, and it is also...

Claims

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Application Information

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IPC IPC(8): G06Q10/08G06K9/00G06N3/08
CPCG06Q10/083G06N3/08G06V40/172
Inventor 不公告发明人
Owner 陈娅莉
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