WO2017128364A1

WO2017128364A1 - Big data-based method and system for human-vehicle information association

Info

Publication number: WO2017128364A1
Application number: PCT/CN2016/072931
Authority: WO
Inventors: 马岩
Original assignee: 深圳市博信诺达经贸咨询有限公司
Priority date: 2016-01-30
Filing date: 2016-01-30
Publication date: 2017-08-03
Also published as: CN105683995A

Abstract

A big data-based method and system for human-vehicle information association. The method comprises the following steps: acquiring information of a vehicle and information of a vehicle owner (101); capturing a photograph of the vehicle, upon identifying that a person in the photograph of the vehicle does not comprise the vehicle owner, transmitting the captured photograph to the vehicle owner (102); when confirmation information of the vehicle owner is received, determining an associative relation of the person in the photograph of the vehicle to the vehicle (103). The method provides the advantage of human-vehicle information association.

Description

Method and system for correlating people and vehicles based on big data

Technical field

The invention relates to the field of big data, in particular to a method and system for correlating human and car information based on big data.

Background technique

The future development trend and prospects of big data and cloud computing are extremely broad. The future of the Internet is the world of big data and cloud computing. Big data and cloud computing will become the technology that every IT staff must have.

The information on people and vehicles in the existing big data cannot be correlated.

technical problem

The application provides a method for correlating human and car information based on big data. The technical solution of the prior art can not solve the shortcomings of the human-car information association.

Technical solution

In one aspect, a method for correlating human-car information based on big data is provided, and the method includes the following steps:

Obtaining vehicle information and vehicle owner information;

Taking a photo of the vehicle and recognizing that the person in the photo of the vehicle does not include the owner of the vehicle, and transmitting the photograph taken to the owner of the vehicle;

After receiving the determination information of the vehicle owner, the relationship between the person and the vehicle in the photo of the vehicle is determined.

Optionally, the method further includes:

If the confirmation information of the owner is not received, the establishment of the association relationship is not performed.

Optionally, the method further includes:

If the confirmation message of the owner is not received, the license plate number of the vehicle is inquired as to whether the vehicle is missing, and if it is a lost vehicle, an alarm is issued.

In a second aspect, a human-data information association system based on big data is provided, the system comprising:

An obtaining unit, configured to acquire vehicle information and vehicle owner information;

a recognition unit, configured to take a photograph of the vehicle, and recognize that the person in the photo of the vehicle does not include the owner of the vehicle, and send the photograph taken to the owner of the vehicle;

The association unit is configured to determine the relationship between the person and the vehicle in the photo of the vehicle after receiving the determination information of the vehicle owner.

Optionally, the system further includes:

The denial unit is used to establish the association relationship if the confirmation information of the owner is not received.

Optionally, the system further includes:

The alarm unit is configured to check whether the license plate number of the vehicle is a lost vehicle if the confirmation information of the vehicle owner is not received, and if the vehicle belongs to the lost vehicle, an alarm is issued.

Beneficial effect

The technical solution provided by the present invention acquires vehicle information and vehicle owner information, captures a photograph of the vehicle, and recognizes that the person in the vehicle photograph does not include the owner of the vehicle, transmits the photographed photo to the owner, and after receiving the determination information of the vehicle owner, determines the photograph of the vehicle. The relationship between the person and the vehicle in the vehicle, so it has the advantage of the association of people and vehicles.

DRAWINGS

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly described below. It is obvious that the drawings in the following description are some embodiments of the present invention. Those skilled in the art can also obtain other drawings based on these drawings without paying any creative work.

1 is a flowchart of a method for associating human-car information based on big data according to a first preferred embodiment of the present invention;

2 is a structural diagram of a human-data information association system based on big data according to a second preferred embodiment of the present invention.

Embodiments of the invention

The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the described embodiments are a part of the embodiments of the present invention, but not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.

Please refer to FIG. 1. FIG. 1 is a method for associating a human-car information based on big data according to a first preferred embodiment of the present invention. The method is as shown in FIG.

Step S101, acquiring vehicle information and vehicle owner information;

Step S102: capturing a photograph of the vehicle, and recognizing that the person in the photograph of the vehicle does not include the owner of the vehicle, and transmitting the photograph taken to the owner of the vehicle;

Step S103: After receiving the determination information of the vehicle owner, determine the relationship between the person and the vehicle in the photo of the vehicle.

Optionally, after the step S103, the foregoing method may further include:

Please refer to FIG. 2. FIG. 2 is a diagram of a human-data information association system based on big data according to a second preferred embodiment of the present invention. The system includes:

An obtaining unit 201, configured to acquire vehicle information and vehicle owner information;

The identification unit 202 is configured to take a photograph of the vehicle, and recognize that the person in the photo of the vehicle does not include the owner of the vehicle, and send the photograph taken to the owner of the vehicle;

The association unit 203 is configured to determine the relationship between the person and the vehicle in the photo of the vehicle after receiving the determination information of the vehicle owner.

Optionally, the above system may further include:

The denial unit 204 is configured to not establish the association relationship if the confirmation information of the vehicle owner is not received.

Optionally, the above system may further include:

The alarm unit 205 is configured to check whether the license plate number of the vehicle is a lost vehicle if the confirmation information of the vehicle owner is not received, and if the vehicle belongs to the lost vehicle, an alarm is issued.

It should be noted that, for the foregoing various method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should understand that the present invention is not limited by the described action sequence. Because certain steps may be performed in other sequences or concurrently in accordance with the present invention. In addition, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

In the above embodiments, the descriptions of the various embodiments are different, and the parts that are not described in detail in a certain embodiment can be referred to the related descriptions of other embodiments.

A person skilled in the art may understand that all or part of the various steps of the foregoing embodiments may be performed by a program to instruct related hardware. The program may be stored in a computer readable storage medium, and the storage medium may include: Flash drive, read-only memory (English: Read-Only Memory, referred to as: ROM), random accessor (English: Random Access Memory, referred to as: RAM), disk or CD.

The content downloading method and the related device and system provided by the embodiments of the present invention are described in detail above. The principles and implementation manners of the present invention are described in the specific examples. The description of the above embodiments is only used to help understand the present invention. The method of the invention and its core idea; at the same time, for the person of ordinary skill in the art, according to the idea of the present invention, there are some changes in the specific embodiment and the scope of application. In summary, the content of the specification should not be understood. To limit the invention.

Claims

A method for correlating human-car information based on big data, characterized in that the method comprises the following steps:

Obtaining vehicle information and vehicle owner information;

Taking a photo of the vehicle and recognizing that the person in the photo of the vehicle does not include the owner of the vehicle, and transmitting the photograph taken to the owner of the vehicle;

After receiving the determination information of the vehicle owner, the relationship between the person and the vehicle in the photo of the vehicle is determined.
The method of claim 1 further comprising:

If the confirmation information of the owner is not received, the establishment of the association relationship is not performed.
The method of claim 1 further comprising:

If the confirmation message of the owner is not received, the license plate number of the vehicle is inquired as to whether the vehicle is missing, and if it is a lost vehicle, an alarm is issued.
A human-data information association system based on big data, characterized in that the system comprises:

An obtaining unit, configured to acquire vehicle information and vehicle owner information;

a recognition unit, configured to take a photograph of the vehicle, and recognize that the person in the photo of the vehicle does not include the owner of the vehicle, and send the photograph taken to the owner of the vehicle;

The association unit is configured to determine the relationship between the person and the vehicle in the photo of the vehicle after receiving the determination information of the vehicle owner.
The system of claim 4, wherein the system further comprises:

The denial unit is used to establish the association relationship if the confirmation information of the owner is not received.
The system of claim 4, wherein the system further comprises:

The alarm unit is configured to check whether the license plate number of the vehicle is a lost vehicle if the confirmation information of the vehicle owner is not received, and if the vehicle belongs to the lost vehicle, an alarm is issued.