CN113744202A

CN113744202A - Vehicle consistency detection method and device for network appointment

Info

Publication number: CN113744202A
Application number: CN202110929786.5A
Authority: CN
Inventors: 杨磊; 马超杰
Original assignee: Shanghai Junzheng Network Technology Co Ltd
Current assignee: Shanghai Junzheng Network Technology Co Ltd
Priority date: 2021-08-13
Filing date: 2021-08-13
Publication date: 2021-12-03

Abstract

The application provides a vehicle consistency detection method and device for network appointment, wherein the method comprises the following steps: in the execution process of the target order, obtaining an interior picture of the vehicle through the driver and passenger terminal equipment; comparing the obtained interior picture with pictures in an interior picture library of the vehicle bound by the target order; if the vehicle detection data are consistent, determining that the vehicle detection is passed; and if the vehicle passing detection information is inconsistent, initiating early warning information that the vehicle passes undetected. Through the scheme, the vehicle consistency detection is run through the execution process of the whole order, the risk caused by the inconsistency of people and vehicles in the existing network car booking process can be solved, and the safety and the reliability of the network car booking are improved.

Description

Vehicle consistency detection method and device for network appointment

Technical Field

The application belongs to the technical field of internet, and particularly relates to a vehicle consistency detection method and device for a network appointment.

Background

At present, in the field of online booking, people and vehicles consistency check is generally finished at the authentication stage of a vehicle owner and a vehicle so as to ensure that a driver is consistent with the vehicle. However, during traveling, the passenger generally determines whether the own car is consistent with the own car through the license plate.

However, if there are multiple vehicles in the network car reservation driver, the driver may use different vehicles during the car leaving process, and some unqualified drivers may also pull passengers through the legally authenticated vehicles but not the vehicles bound with the driver, so that the risk of network car reservation is increased.

In view of the above problems, no effective solution has been proposed.

Disclosure of Invention

The application aims to provide a vehicle consistency detection method and device for network car booking, which can realize effective detection on the consistency of a human and a vehicle and improve the safety of the network car booking.

The application provides a vehicle consistency detection method and device for network appointment, which are realized as follows:

a vehicle consistency detection method for network appointment, comprising the following steps:

in the execution process of the target order, obtaining an interior picture of the vehicle through the driver and passenger terminal equipment;

comparing the obtained interior picture with pictures in an interior picture library of the vehicle bound by the target order;

if the vehicle detection data are consistent, determining that the vehicle detection is passed;

and if the vehicle passing detection information is inconsistent, initiating early warning information that the vehicle passes undetected.

In one embodiment, comparing the obtained interior trim picture with a picture in an interior trim picture library of a vehicle bound by the target order includes:

taking the driver bound by the target order as a target driver;

taking the vehicle bound by the target driver in the registration process as a target vehicle;

acquiring an interior trim picture library of the target vehicle, wherein at least an interior trim picture of the target vehicle uploaded by the target driver during registration is stored in the interior trim picture library;

and comparing the obtained interior picture with the pictures in the interior picture library of the vehicle bound by the target order to determine whether the interior pictures are the same vehicle.

acquiring the shape, the structure and the color of a vehicle target component as first data according to the acquired interior picture;

acquiring the shape, the structure and the color of a vehicle target component as second data according to the picture in the interior trim picture library of the vehicle bound with the target order;

and comparing the first data with the second data to determine whether the vehicles are the same vehicle.

In one embodiment, the target component includes at least one of: seat, center console, skylight, ceiling, window glass.

In one embodiment, during execution of the target order, an interior picture of the vehicle is acquired through the terminal device of the driver and the passenger, and the method comprises at least one of the following steps:

before the order is picked up, an interior picture of the vehicle is obtained through a camera of a mobile phone of a driver;

after receiving the order, acquiring an interior picture of the vehicle through a camera of a mobile phone of a driver;

when a passenger gets on the vehicle or after getting on the vehicle, the interior picture of the vehicle is obtained through the camera of the mobile phone of the passenger.

In one embodiment, after determining that the human-vehicle consistency detection passes, the method further comprises:

and adding the obtained interior decoration picture to an interior decoration picture library of the vehicle bound with the target order.

In one embodiment, in the process of comparing the obtained interior trim picture with a picture in an interior trim picture library of a vehicle bound to the target order, the method further includes:

acquiring a portrait picture of a driver through a driver terminal device;

and comparing the portrait picture of the driver with the portrait picture of the driver bound with the vehicle, which is stored in the system in advance, so as to carry out driver identity verification.

A vehicle conformance detection apparatus for a network appointment, comprising:

the acquisition module is used for acquiring an interior picture of the vehicle through the driver and passenger terminal equipment in the execution process of the target order;

the comparison module is used for comparing the obtained interior picture with pictures in an interior picture library of the vehicle bound by the target order;

the determining module is used for determining that the vehicle passes the detection under the condition that the comparison result is consistent;

and the early warning module is used for initiating early warning information that the vehicle passes the undetected state under the condition that the comparison result is inconsistent.

In one embodiment, the alignment module comprises:

the first generating unit is used for taking the driver bound by the target order as a target driver;

the second generation unit is used for taking the vehicle bound by the target driver in the registration process as a target vehicle;

the acquisition unit is used for acquiring an interior trim picture library of the target vehicle, wherein at least interior trim pictures of the target vehicle uploaded by the target driver during registration are stored in the interior trim picture library;

and the comparison unit is used for comparing the obtained interior picture with the pictures in the interior picture library of the vehicle bound by the target order to determine whether the interior pictures are the same vehicle.

An electronic device comprising a processor and a memory for storing processor-executable instructions, the instructions when executed by the processor implementing the steps of the method of:

A computer readable storage medium having stored thereon computer instructions which, when executed, implement the steps of a method comprising:

According to the vehicle consistency detection method for the online taxi appointment, in the execution process of the target order, the interior picture of the vehicle is obtained through the driver and passenger terminal equipment, and therefore the obtained interior picture is compared with the picture in the interior picture library of the vehicle bound by the target order; so as to carry out human-vehicle consistency detection. The vehicle consistency detection is not only carried out when a driver registers, and the vehicle consistency detection is carried out in the execution process of the whole order, so that the risk caused by human-vehicle inconsistency in the existing network car booking process can be solved, and the safety and the reliability of the network car booking are improved.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort.

FIG. 1 is a flowchart of a method of one embodiment of a vehicle conformance detection method for a network appointment provided herein;

fig. 2 is a block diagram of a hardware configuration of an electronic device of a vehicle consistency detection method for a network appointment according to an embodiment of the present invention;

fig. 3 is a schematic model structure diagram of an embodiment of a vehicle consistency detection device for a network appointment car provided by the present application.

Detailed Description

In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

Considering that the existing network car booking platform generally detects the consistency of a driver and a vehicle only when the driver registers, if the driver changes the vehicle when receiving a call, the driver is sometimes unknown to passengers, and the platform is not aware, so that certain safety risk is caused.

For this reason, it is contemplated in this example that a vehicle-to-driver human-to-vehicle consistency check may be performed during order fulfillment.

Specifically, as shown in fig. 1, a vehicle consistency detection method for a network appointment provided by an embodiment of the present application may include the following steps:

step 101: in the execution process of the target order, obtaining an interior picture of the vehicle through the driver and passenger terminal equipment;

for example: before the order is picked up, the interior picture of the vehicle can be acquired through a camera of a mobile phone of a driver; or after the order is received, the interior picture of the vehicle can be acquired through a camera of a mobile phone of a driver; or, the interior picture of the vehicle can be obtained through the camera of the mobile phone of the passenger when or after the passenger gets on the vehicle.

That is, in the order execution process, no matter whether the order is initiated or the order is started, or whether the passenger gets on the vehicle or gets on the vehicle, the interior picture of the vehicle can be triggered and obtained at any time to serve as the basis of comparison.

The trigger for acquiring the interior picture of the vehicle may be system trigger, for example, if the system determines that the driver takes an order, the camera on the terminal of the driver may be controlled to acquire the interior picture of the vehicle, or if the system determines that the passenger gets on and sits, the camera on the terminal of the passenger may be triggered to acquire the interior picture of the vehicle. Whether the interior picture obtained by the passenger or the interior picture obtained by the driver is uploaded to the server, and the server performs comparison and judgment.

The triggering of obtaining the interior picture of the vehicle can be triggered by a passenger or a driver actively, namely, the passenger controls to obtain the picture to upload, or the driver controls to obtain the picture to upload in the order receiving process, which mode is specifically adopted without limitation in the application, and the triggering can be set according to actual scenes and requirements.

Step 102: comparing the obtained interior picture with pictures in an interior picture library of the vehicle bound by the target order;

when the obtained interior picture is compared with the picture in the interior picture library of the vehicle bound by the target order, a driver bound by the target order can be used as a target driver; taking the vehicle bound by the target driver in the registration process as a target vehicle; acquiring an interior trim picture library of the target vehicle, wherein at least an interior trim picture of the target vehicle uploaded by the target driver during registration is stored in the interior trim picture library; and comparing the obtained interior picture with the pictures in the interior picture library of the vehicle bound by the target order to determine whether the interior pictures are the same vehicle.

That is, an interior picture library may be established in advance, for example, when a driver registers a network car appointment account, the driver may upload an interior picture of a vehicle to be operated by the driver, and bind the interior picture with the identity of the driver to serve as the interior picture library of the vehicle associated with the driver.

And the data in the picture library can be updated and expanded all the time, for example, the picture library can be expanded by the uploaded pictures every time the comparison is successful, so that the images in the picture library have more directions and are more comprehensive.

Step 103: if the vehicle detection data are consistent, determining that the vehicle detection is passed;

step 104: and if the vehicle passing detection information is inconsistent, initiating early warning information that the vehicle passes undetected.

In the above example, in the execution process of the target order, the interior picture of the vehicle is acquired through the driver's terminal device, so that the acquired interior picture is compared with the picture in the interior picture library of the vehicle bound by the target order; so as to carry out human-vehicle consistency detection. The vehicle consistency detection is not only carried out when a driver registers, and the vehicle consistency detection is carried out in the execution process of the whole order, so that the risk caused by human-vehicle inconsistency in the existing network car booking process can be solved, and the safety and the reliability of the network car booking are improved.

Specifically, when the obtained interior picture is compared with a picture in an interior picture library of the vehicle bound to the target order, the shape, the structure and the color of the target component of the vehicle can be obtained according to the obtained interior picture as first data; acquiring the shape, the structure and the color of a vehicle target component as second data according to the picture in the interior trim picture library of the vehicle bound with the target order; and comparing the first data with the second data to determine whether the vehicles are the same vehicle. Namely, by comparing the shape, the structure and the color of each part in the interior, whether the matched vehicles are the same vehicle or not is determined according to the interior picture uploaded in the order execution process and the interior picture associated with the driver in the system.

The target component may include, but is not limited to, at least one of: seat, center console, skylight, ceiling, window glass.

In order to expand the interior decoration picture library, after the fact that the human-vehicle consistency detection is passed is determined, the obtained interior decoration pictures can be added to the interior decoration picture library of the vehicle bound with the target order.

Further, in implementation, in order to further improve the safety, the identity verification of the driver can be performed at the same time, that is, the portrait picture of the driver can be obtained through the terminal device of the driver during the comparison process between the obtained interior picture and the picture in the interior picture library of the vehicle bound to the target order; and comparing the portrait picture of the driver with the portrait picture of the driver bound with the vehicle, which is stored in the system in advance, so as to carry out driver identity verification. Or before the interior picture of the vehicle is acquired through the terminal equipment of the driver, whether the driver information corresponding to the order is consistent with the driver information corresponding to the order is determined through the face recognition function, and whether the driver information is consistent with the mobile phone is determined, so that the identity of the driver is verified.

That is, in this example, when collecting image information, not only the vehicle interior structure and the decorative information but also the image information of the driver himself/herself are collected, and when vehicle authentication is performed, the authentication of the human-vehicle consistency is performed.

The above method is described below with reference to a specific example, however, it should be noted that the specific example is only for better describing the present application and is not to be construed as limiting the present application.

In the embodiment, in order to realize the detection of the consistency of people and vehicles, whether a current driving person is the pattern of the person and the vehicle during authentication is verified, whether the vehicle is refitted is not determined, and when image information is collected, not only the internal structure and the decoration information of the vehicle are collected, but also the image information of a driver is included, so that the consistency of the vehicle and the people and the vehicle is detected.

When the method is specifically realized, the online car booking application can ensure that people are consistent with the mobile phone through face recognition, and then the mobile phone logged in by the online car booking application and the authentication vehicle are determined to be the same or not through the structure and the color of the vehicle interior decoration of the image recognition. Before and during the order, a driver or a passenger can log in a camera of a mobile phone of the online car appointment application to capture a picture at random, and the picture is uploaded to a server. The server determines whether the vehicle is the same as the authenticated vehicle according to the interior information (whether a sunroof, a seat headrest type, a ceiling color, and the like) at the time of vehicle authentication.

That is, in the vehicle authentication phase, in addition to the appearance data of the vehicle, the shape, structure, and color of the vehicle interior, and the components such as the seat, center console, sunroof, ceiling, window glass, etc., among the interior core components may be simultaneously collected and stored in the database. Before or after the order is received and in the process of sending the passenger, a camera of a mobile phone applied by a driver or the passenger for logging in the network appointment is used for randomly shooting an internal picture of the vehicle, uploading the picture to a server, and comparing the picture with data during vehicle authentication to judge whether the current vehicle is the authenticated vehicle. The server can improve the accuracy of vehicle consistency by using historically collected interior data through a machine learning method.

The method embodiments provided in the above embodiments of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. Taking the operation on the electronic device as an example, fig. 2 is a hardware structure block diagram of the electronic device of the vehicle consistency detection method for network appointment provided by the present application. As shown in fig. 2, the electronic device 10 may comprise one or more (only one shown in the figure) processors 02 (the processors 02 may comprise, but are not limited to, a processing means such as a microprocessor MCU or a programmable logic device FPGA), a memory 04 for storing data, and a transmission module 06 for communication functions. It will be understood by those skilled in the art that the structure shown in fig. 2 is only an illustration and is not intended to limit the structure of the electronic device. For example, electronic device 10 may also include more or fewer components than shown in FIG. 2, or have a different configuration than shown in FIG. 2.

The memory 04 may be used to store software programs and modules of application software, such as program instructions/modules corresponding to the vehicle consistence detection method for network appointment, in the embodiment of the present application, and the processor 02 executes various functional applications and data processing by running the software programs and modules stored in the memory 04, that is, implements the vehicle consistence detection and delivery method for network appointment of the application program. The memory 04 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 04 may further include memory located remotely from the processor 02, which may be connected to the electronic device 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The transmission module 06 is used for receiving or transmitting data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the electronic device 10. In one example, the transmission module 06 includes a Network adapter (NIC) that can be connected to other Network devices through a base station so as to communicate with the internet. In one example, the transmission module 06 may be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.

On the software level, the vehicle consistency detection device for network appointment may be as shown in fig. 3, and includes:

an obtaining module 301, configured to obtain an interior image of a vehicle through a driver's terminal device in an execution process of a target order;

a comparison module 302, configured to compare the obtained interior image with an image in an interior image library of a vehicle bound to the target order;

the determining module 303 is configured to determine that the vehicle passes the detection if the comparison result is consistent;

and the early warning module 304 is configured to initiate early warning information that the vehicle passes undetected if the comparison result is inconsistent.

In one embodiment, the alignment module 302 may include: the first generating unit is used for taking the driver bound by the target order as a target driver; the second generation unit is used for taking the vehicle bound by the target driver in the registration process as a target vehicle; the acquisition unit is used for acquiring an interior trim picture library of the target vehicle, wherein at least interior trim pictures of the target vehicle uploaded by the target driver during registration are stored in the interior trim picture library; and the comparison unit is used for comparing the obtained interior picture with the pictures in the interior picture library of the vehicle bound by the target order to determine whether the interior pictures are the same vehicle.

In one embodiment, comparing the obtained interior trim picture with a picture in an interior trim picture library of a vehicle bound to the target order may include: acquiring the shape, the structure and the color of a vehicle target component as first data according to the acquired interior picture; acquiring the shape, the structure and the color of a vehicle target component as second data according to the picture in the interior trim picture library of the vehicle bound with the target order; and comparing the first data with the second data to determine whether the vehicles are the same vehicle.

In one embodiment, the target component may include, but is not limited to, at least one of: seat, center console, skylight, ceiling, window glass.

In one embodiment, the obtaining of the interior picture of the vehicle by the driver's terminal device during the execution of the target order may include at least one of:

1) before the order is picked up, an interior picture of the vehicle is obtained through a camera of a mobile phone of a driver;

2) after receiving the order, acquiring an interior picture of the vehicle through a camera of a mobile phone of a driver;

3) when a passenger gets on the vehicle or after getting on the vehicle, the interior picture of the vehicle is obtained through the camera of the mobile phone of the passenger.

In one embodiment, after the vehicle detection passes, the obtained interior trim picture may be added to the interior trim picture library of the vehicle bound to the target order.

In one embodiment, in the process of comparing the obtained interior picture with the picture in the interior picture library of the vehicle bound by the target order, a portrait picture of a driver can be obtained through a driver terminal device; and comparing the portrait picture of the driver with the portrait picture of the driver bound with the vehicle, which is stored in the system in advance, so as to carry out driver identity verification.

The embodiment of the present application further provides a specific implementation manner of an electronic device, which is capable of implementing all steps in the vehicle consistency detection method for a network appointment in the foregoing embodiment, where the electronic device specifically includes the following contents: a processor (processor), a memory (memory), a communication Interface (Communications Interface), and a bus; the processor, the memory and the communication interface complete mutual communication through the bus; the processor is configured to call a computer program in the memory, and the processor implements all the steps of the vehicle consistency detection method for online booking of vehicles in the above embodiments when executing the computer program, for example, the processor implements the following steps when executing the computer program:

step 1: in the execution process of the target order, obtaining an interior picture of the vehicle through the driver and passenger terminal equipment;

step 2: comparing the obtained interior picture with pictures in an interior picture library of the vehicle bound by the target order;

and step 3: if the vehicle detection data are consistent, determining that the vehicle detection is passed;

and 4, step 4: and if the vehicle passing detection information is inconsistent, initiating early warning information that the vehicle passes undetected.

As can be seen from the above description, in the execution process of the target order, the interior picture of the vehicle is acquired through the terminal device of the driver and the passenger, so that the acquired interior picture is compared with the picture in the interior picture library of the vehicle bound to the target order; so as to carry out human-vehicle consistency detection. The vehicle consistency detection is not only carried out when a driver registers, and the vehicle consistency detection is carried out in the execution process of the whole order, so that the risk caused by human-vehicle inconsistency in the existing network car booking process can be solved, and the safety and the reliability of the network car booking are improved.

Embodiments of the present application further provide a computer-readable storage medium capable of implementing all steps of the vehicle consistency detection method for a network appointment in the above embodiments, where the computer-readable storage medium stores a computer program, and the computer program implements all steps of the vehicle consistency detection method for a network appointment in the above embodiments when executed by a processor, for example, the processor implements the following steps when executing the computer program:

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the hardware + program class embodiment, since it is substantially similar to the method embodiment, the description is simple, and the relevant points can be referred to the partial description of the method embodiment.

The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.

Although the present application provides method steps as described in an embodiment or flowchart, additional or fewer steps may be included based on conventional or non-inventive efforts. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an actual apparatus or client product executes, it may execute sequentially or in parallel (e.g., in the context of parallel processors or multi-threaded processing) according to the embodiments or methods shown in the figures.

The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a vehicle-mounted human-computer interaction device, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

Although embodiments of the present description provide method steps as described in embodiments or flowcharts, more or fewer steps may be included based on conventional or non-inventive means. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an actual apparatus or end product executes, it may execute sequentially or in parallel (e.g., parallel processors or multi-threaded environments, or even distributed data processing environments) according to the method shown in the embodiment or the figures. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the presence of additional identical or equivalent elements in a process, method, article, or apparatus that comprises the recited elements is not excluded.

For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, in implementing the embodiments of the present description, the functions of each module may be implemented in one or more software and/or hardware, or a module implementing the same function may be implemented by a combination of multiple sub-modules or sub-units, and the like. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may therefore be considered as a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.

The embodiments of this specification may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The described embodiments may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment. In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of an embodiment of the specification. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.

The above description is only an example of the embodiments of the present disclosure, and is not intended to limit the embodiments of the present disclosure. Various modifications and variations to the embodiments described herein will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present specification should be included in the scope of the claims of the embodiments of the present specification.

Claims

1. A vehicle consistency detection method for network appointment, which is characterized by comprising the following steps:

2. The method of claim 1, wherein comparing the obtained trim picture with pictures in a trim picture library of a vehicle to which the target order is bound comprises:

taking the driver bound by the target order as a target driver;

3. The method of claim 1, wherein comparing the obtained trim picture with pictures in a trim picture library of a vehicle to which the target order is bound comprises:

4. The method of claim 3, wherein the target component comprises at least one of: seat, center console, skylight, ceiling, window glass.

5. The method according to claim 1, wherein the obtaining of the interior picture of the vehicle by the driver's terminal device during the execution of the target order comprises at least one of:

6. The method of claim 1, wherein in the process of comparing the obtained interior picture with the picture in the interior picture library of the vehicle bound to the target order, the method further comprises:

acquiring a portrait picture of a driver through a driver terminal device;

7. A vehicle consistency detection device for a network reservation vehicle, comprising:

8. The apparatus of claim 7, wherein the alignment module comprises:

9. An electronic device comprising a processor and a memory for storing processor-executable instructions, the instructions when executed by the processor implementing the steps of the method of:

if the detection result is consistent, determining that the human-vehicle consistency detection is passed;

and if the information is inconsistent, initiating the early warning information that the people and the vehicles are inconsistent.

10. A computer readable storage medium having stored thereon computer instructions which, when executed, implement the steps of a method comprising: