CN116931732A - Vehicle exhibition implementation method, system, equipment and medium based on cloud exhibition - Google Patents
Vehicle exhibition implementation method, system, equipment and medium based on cloud exhibition Download PDFInfo
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Abstract
A vehicle exhibition implementation method, system, equipment and medium based on cloud exhibition relates to the field of computer vision. The method comprises the following steps: acquiring visual information of a user, and extracting a visual image in the visual information; judging whether a vehicle pixel area in the visual image is larger than a preset pixel area threshold value or not; if yes, taking the vehicle as a user willing vehicle; judging whether the time for the user to visually stay in the vehicle at will of the user is longer than a preset time length or not; if yes, vehicle information of the vehicle which the user wishes to use is called; judging whether a user sends out a comparison instruction or not; if yes, responding to the comparison instruction, and generating a comparison report according to the vehicle information to display. By implementing the technical scheme provided by the application, the willing vehicles of the user are detected, the recorded willing vehicles are automatically compared, and a comparison report is generated, so that the effects of automatically comparing the vehicle information and improving the experience of the user are achieved.
Description
Technical Field
The application relates to the technical field of computer vision, in particular to a vehicle exhibition implementation method based on cloud exhibition.
Background
Along with the continuous progress of science and technology, the 3D cloud exhibition technology of the current society is developing rapidly, gradually becomes an innovation and leading edge of the exhibition industry, and more forms of virtual exhibition platforms appear, so that 3D exhibition experience based on cloud computing and virtual reality technology is provided. For example, in cloud exhibition, through virtual scenes, interactive functions and multimedia exhibition, the experience that a user visits an exhibition, browses exhibits and interacts with other participants in a virtual environment is realized.
Currently, in a conventional cloud exhibition system, a user selects a vehicle of interest by means of autonomous clicking and looks at the appearance and related performance of the vehicle, thereby selecting a willing vehicle.
However, in practical applications, a user usually needs to perform a specific manual selection operation to obtain vehicle information, and when the user decides to purchase, the user compares various selected vehicle information, and performs comparison selection on the performance of the vehicle by means of memory, so that part of vehicle information is easy to ignore, memorize or forget, and inaccurate evaluation is caused, thereby affecting the exhibition experience of the user.
Disclosure of Invention
The application provides a cloud exhibition-based vehicle exhibition implementation method, a cloud exhibition-based vehicle exhibition implementation system, cloud exhibition-based vehicle exhibition equipment and a cloud exhibition-based vehicle exhibition medium.
In a first aspect, the present application provides a cloud exhibition-based vehicle exhibition implementation method, including:
acquiring visual information of a user, and extracting a visual image in the visual information;
judging whether a vehicle pixel area in the visual image is larger than a preset pixel area threshold value or not;
if yes, taking the vehicle as a user willing vehicle;
judging whether the time for the user to visually stay in the vehicle at will of the user is longer than a preset time length or not;
if yes, vehicle information of the vehicle which the user wishes to use is called;
judging whether a user sends out a comparison instruction or not;
if yes, responding to the comparison instruction, and generating a comparison report according to the vehicle information to display.
Through adopting above-mentioned technical scheme, discernment user's visual image in cloud car exhibition, judge user's willing vehicle and transfer corresponding vehicle information, later compare the vehicle information of a plurality of user willing vehicles and generate and compare the report, this scheme can assist the user to carry out vehicle selection, automatic comparison vehicle information to improve user's experience is felt.
Optionally, visual information collected and uploaded by the virtual reality device is received, and visual images corresponding to the visual stay areas of the user are extracted through a preset image recognition algorithm.
By adopting the technical scheme, the visual direction and the angle of the user acquired by the virtual reality equipment sensor are received, so that the visual image of the visual stay area of the user can be determined, the accuracy of identifying the visual image of the user is improved, and an image foundation is provided for the follow-up detection of the user willingness vehicle.
Optionally, judging whether a vehicle exists in the visual image; if not, displaying the called small map, wherein the small map is provided with distribution information of different brands of vehicle exhibition halls in a preset area.
By adopting the technical scheme, whether the vehicle exists in the visual image of the user is detected, the vehicle is convenient to identify, and when the vehicle is not detected, the small map display is carried out, so that the user can be assisted to find the exhibition hall in the nearby area.
Optionally, if the vehicles exist in the visual image, judging whether the number of the vehicles in the visual image is greater than one; if yes, acquiring a pixel area corresponding to the vehicle area in the visual image through a preset identification algorithm.
By adopting the technical scheme, when vehicles exist in the visual image, the number of the vehicles is detected, if the number of the vehicles is larger than one, the pixel area corresponding to the vehicle area is determined, the vehicle pixel area can be identified to further identify the vehicles under the condition of multiple vehicles, and the accuracy of detecting the vehicles which are willing by users is improved.
Optionally, detecting the duration of the user's vision staying on the corresponding picture of the vehicle at will of the user to obtain the gazing duration; judging whether the gazing duration is longer than a preset duration; if yes, vehicle information corresponding to the user willingness vehicles in the database is retrieved and stored in a preview database.
By adopting the technical scheme, the time of the user looking at the vehicle is judged, the time is compared with the preset time, if the time is longer than the preset time, the vehicle information corresponding to the vehicle is called and stored in the preview database, the user can be assisted to further know the parameter information of the vehicle, the interaction with the user is realized, the user experience is improved, and meanwhile basic information is provided for subsequent vehicle comparison.
Optionally, receiving a comparison instruction sent by a user; responding to the comparison instruction, calling each piece of vehicle information in the preview database, and comparing each piece of vehicle information through a preset algorithm to generate a comparison report; and displaying the comparison report to a user.
By adopting the technical scheme, when a user triggers the comparison operation, vehicle information corresponding to the user willingness vehicles in the preview database is called in response to the comparison operation, the vehicle information of all vehicles in the preview database is compared according to a preset algorithm, and a comparison report is generated and displayed to the user, so that the efficiency and accuracy of vehicle information comparison can be improved, and the complicated steps of self-comparison of the user are reduced.
Optionally, taking each piece of vehicle information in the preview database as a model input feature, and inputting a preset comparison algorithm model; the comparison algorithm model attaches name labels to different types of parameters in the vehicle information; respectively sequencing the parameters with the labels with the same names in the vehicle information according to the sequence from large to small to obtain a sequencing result, and attaching the parameters in the sequencing result with the corresponding vehicle labels; and taking the sequencing result with the vehicle labels as a comparison report.
By adopting the technical scheme, the vehicle information corresponding to the vehicle which is willing by the user is ordered according to the order from small to large through the preset comparison algorithm model, the ordering result is obtained, the comparison report is generated, the vehicle information comparison efficiency can be effectively improved, and the vehicle purchasing willing of the user is further improved.
In a second aspect of the present application, there is provided a system for implementing a cloud exhibition-based vehicle exhibition method, including:
the data acquisition module is used for acquiring visual information of a user and obtaining a visual image in the visual information;
the image recognition module is used for judging whether the pixel area of the vehicle in the visual image is larger than a preset pixel area threshold value or not; if yes, taking the vehicle as a user willing vehicle;
the information calling module is used for judging whether the time for the user to visually stay on the vehicle at will of the user is longer than a preset time length or not; if yes, vehicle information of the vehicle which the user wishes to use is called.
The data comparison module is used for judging whether a user sends out a comparison instruction or not; if yes, responding to the comparison instruction, and generating a comparison report according to the vehicle information to display.
In a third aspect of the application, an electronic device is provided.
A system for realizing a vehicle display method based on a cloud display comprises a memory, a processor and a program stored in the memory and capable of running on the processor, wherein the program can realize the vehicle display realizing method based on the cloud display when loaded and executed by the processor.
In a fourth aspect of the application, a computer readable storage medium is provided.
A computer readable storage medium storing a computer program which, when executed by a processor, causes the processor to implement a cloud display-based vehicle display implementation method.
In summary, one or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
1. according to the method, the vehicles in the user watching area are identified by acquiring the visual information of the user, the user willingness vehicles are determined according to the pixel areas of the vehicles in the visual image corresponding to the user watching area, the determined user willingness vehicles are compared, a comparison report is generated, the user willingness vehicles are automatically compared according to the method, the user selecting is assisted, and the user experience is improved.
2. According to the method, through setting the small map, when no vehicle exists in the visual picture of the user, the distribution condition of the vehicle exhibition hall in the area nearby the user is displayed, and the user can be assisted to find the willingness exhibition hall to see the vehicle according to the method, so that the user experience is improved.
3. According to the method, the user willingness vehicle information is stored by setting the preview database, and according to the method, the user willingness vehicles can be conveniently compared, and the efficiency of automatically comparing the user willingness vehicle information by the system is improved.
Drawings
Fig. 1 is a schematic flow diagram of a method for implementing a vehicle exhibition based on a cloud exhibition according to an embodiment of the present application.
Fig. 2 is a vehicle detection flow chart of a vehicle display implementation method based on a cloud display according to an embodiment of the application
Fig. 3 is a schematic structural diagram of a vehicle display implementation method based on a cloud exhibition according to an embodiment of the application.
Fig. 4 is a schematic structural diagram of an electronic device according to the disclosure.
Reference numerals illustrate: 301. a data acquisition module; 302. an image recognition module; 303. an information calling module; 304. a data comparison module; 400. an electronic device; 401. a processor; 402. a memory; 403. a user interface; 404. a network interface; 405. a communication bus.
Detailed Description
In order that those skilled in the art will better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments.
In describing embodiments of the present application, words such as "for example" or "for example" are used to mean serving as examples, illustrations, or descriptions. Any embodiment or design described herein as "such as" or "for example" in embodiments of the application should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "or" for example "is intended to present related concepts in a concrete fashion.
In the description of embodiments of the application, the term "plurality" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating an indicated technical feature. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.
In order to facilitate understanding of the method and system provided by the embodiments of the present application, a description of the background of the embodiments of the present application is provided before the description of the embodiments of the present application.
At present, the cloud exhibition technology is applied to various industries to a certain extent under the rapid development of the current technology, particularly in the automobile industry, the cloud exhibition is held based on big data, which is an important direction of the development of a plurality of automobile enterprises, but in the traditional held cloud exhibition, a user selects vehicles according to own preference, and when selecting to purchase the vehicles, the comparison effect is inaccurate through manual selection and other operations, and the situation of forgetting exists.
The embodiment of the application discloses a vehicle exhibition implementation method based on cloud exhibition, which is used for presuming vehicles of interest to a user and comparing according to the habit of the user, assisting the user in better vehicle selection and mainly used for purchasing vehicles by the user and artificially comparing the inaccurate vehicle information.
Those skilled in the art will appreciate that the problems associated with the prior art are solved by the present application, and a detailed description of a technical solution according to an embodiment of the present application is provided below, wherein the detailed description is given with reference to the accompanying drawings.
Referring to fig. 1, a cloud exhibition-based vehicle exhibition implementation method includes S10 to S30, specifically including the following steps:
s10: and acquiring visual information of the user, and determining a visual image in the visual information.
Specifically, when a user participates in cloud exhibition, the user wears virtual reality equipment, such as VR glasses, visual information of the user is collected through the VR glasses and uploaded, and after the visual information is received, the system processes the visual information according to a preset algorithm, such as a Canny edge detection algorithm, so that a visual image corresponding to a visual stay area of the user in a virtual scene can be extracted.
Referring to fig. 2, before determining whether the pixel area of the vehicle in the visual image is greater than the preset pixel area threshold, there is a step of detecting whether the vehicle is in the visual image, specifically including:
s01: judging whether a vehicle exists in the visual image; if not, displaying the called small map, wherein the small map is provided with distribution information of different brands of vehicle exhibition halls in a preset area.
For example, before supposing that the user is interested in the vehicle, whether contour feature information with the similarity to the preset vehicle contour is more than seventy percent exists in the image needs to be detected through a preset algorithm, if the contour feature information is not exist, the vehicle is judged to be absent in the visual stop area, a vehicle display small map pre-stored in the background is called by the system to be displayed to the user, and distribution conditions of various brands of vehicle exhibition halls in the area nearby the user can be checked through the small map.
S02: if vehicles exist in the visual image, judging whether the number of the vehicles in the visual image is larger than one; if yes, acquiring a pixel area corresponding to the vehicle area in the visual image through a preset identification algorithm.
Illustratively, if the system detects that a vehicle exists in the visual image, the system further identifies the number of vehicles in the visual image, specifically including: detecting vehicles in the image through a preset SSD destination detection algorithm, marking the identified vehicles with boundary frames, filtering the boundary frames, setting an aspect ratio threshold value, eliminating boundary frames with the aspect ratio exceeding the aspect ratio threshold value, for example, setting the aspect ratio threshold value to be 3, eliminating boundary frames with the aspect ratio exceeding 3, reducing false detection through the filtering step, improving the accuracy of identifying the number of the vehicles, and identifying the filtered boundary frames to determine the number of the vehicles in the visual image. If the number of vehicles in the visual image is one, the system can acquire the pixel area of the corresponding area of the vehicle, and if the number of vehicles in the visual image is more than one, the whole image is traversed in a cyclic traversing mode, and the pixel area of the boundary box area is calculated.
S20: judging whether a vehicle pixel area in the visual image is larger than a preset pixel area threshold value or not; if yes, the vehicle is taken as a user willing vehicle.
Specifically, in the embodiment of the present application, if only one vehicle exists in the visual image of the user, in order to prevent the vehicle from being far from the user and not being the vehicle at which the user is looking, the system may traverse to obtain the pixel area size of the corresponding area of the vehicle, and compare with a preset pixel area threshold, for example: when a user looks at a car, the interested vehicle can select to get close to and look at, when the distance between the user and the vehicle is shortened, the larger the vehicle area viewed by the user is in the visual picture, the larger the pixel area of the corresponding area of the vehicle in the visual image is, the system can judge whether the pixel area of the corresponding area of the vehicle in the visual image exceeds a preset pixel area threshold value in real time, and if the pixel area of the corresponding area of the vehicle exceeds the preset pixel area threshold value, the system takes the vehicle as a user willing vehicle.
On the basis of the above embodiment, there are also cases of a plurality of vehicles, including:
illustratively, when a user is visiting various vehicles in a cloud vehicle show, there may be multiple vehicles in the area of visual gaze, so the system needs to identify the pixel area of the image area occupied by the vehicles appearing in the visual image, which includes: for example, when the vehicle a and the vehicle B appear in the visual image, the system may divide the image of the area where the vehicle a and the vehicle B are located, then obtain the pixel area sizes of the areas corresponding to the vehicle a and the vehicle B through traversal, according to the total pixel area size of the visual image, calculate to obtain that the proportion of the pixel area corresponding to the vehicle a to the total pixel area of the visual image is sixty percent, and the proportion of the pixel area corresponding to the vehicle B to the total pixel area of the visual image is thirty percent, and then the system may regard the vehicle a as the willing vehicle of the user.
S30: judging whether the time for the user to visually stay in the vehicle at will is longer than the preset time length or not; if yes, vehicle information of the vehicle which the user wants is called.
Specifically, when the user checks the willing vehicle, the time for the user to visually stay in the willing vehicle is longer, the system can detect the picture containing the willing vehicle of the user in real time, receive the continuous time of the picture, compare the visual stay time with the preset time set by the staff, and the time can be specifically set by the staff according to the actual situation and the history data, for example: the preset time length is set to be 5 minutes by a worker, when a user checks a willing vehicle, the system compares the monitored time of the visual picture staying on the vehicle interface with the preset time length, and when the visual staying time is longer than 5 minutes, the system can call the vehicle information corresponding to the vehicle pre-stored in the background, wherein the vehicle information comprises the information such as the interior picture of the vehicle, the vehicle oil consumption, the vehicle appearance and the like. In order to prevent the duplication of the vehicle information storage, the system attaches brand labels to the user willing vehicles according to different brands, and stores the vehicle information with the brand labels into a preview database for storing the user willing vehicle information with the brand labels.
S40: judging whether a user sends out a comparison instruction or not; if yes, responding to the comparison instruction, and generating a comparison report according to the vehicle information to display.
Specifically, after a user sends a comparison instruction, the system responds to the comparison instruction to execute comparison operation, wherein the comparison operation comprises the steps of inputting vehicle information corresponding to different brand tag vehicles in a preview database into a preset comparison algorithm model, such as an existing convolutional neural network algorithm model, attaching name tags to parameters of the same type in the vehicle information, then sequencing the parameters of the same type according to the sequence from large to small to obtain a sequencing result, and displaying the sequencing result to the user in a vehicle portrait mode.
For example, in a cloud vehicle exhibition, a user uses a system to serve as a vehicle for willingness of the user to share the vehicle A, the vehicle B and the vehicle C, at this time, the user needs to further select the three vehicles, the user can select an option with a word of "vehicle comparison" on an interactive interface in the cloud vehicle exhibition system, the system responds to a comparison instruction sent by the user to execute a comparison operation, that is, call the vehicle information of the vehicle A, the vehicle B and the vehicle C in a preview database and play the display video of the corresponding vehicle, the user can score the satisfaction degree of the appearance, the internal space, the engine configuration and the driving performance intensity of the vehicle through the display video of the vehicle, and the corresponding vehicle information after the user evaluation specifically comprises: engine configuration score, vehicle design satisfaction, interior space arrangement satisfaction, drivability intensity score, vehicle fuel consumption, price and other relevant parameters. The system inputs the vehicle information estimated by the user into a preset convolutional neural network algorithm model, wherein the convolutional neural network algorithm model is obtained by training the vehicle information of a plurality of different vehicle types through the existing model algorithm and is used for sequencing the same type parameters among the vehicles. After vehicle information is input into a preset convolutional neural network algorithm model, price parameters of a vehicle A, a vehicle B and a vehicle C are attached with price labels, engine models of the vehicle A, the vehicle B and the vehicle C are attached with engine labels, corresponding name labels are respectively attached to different types of parameters in a mapping table inquiring mode, then parameters of the same name labels are respectively ordered according to a sequence from small to large, after an ordering result of each type of parameters is obtained, in order to prevent the parameters from being inconvenient for a user to check, all the parameters in the ordering result are attached with corresponding vehicle labels, and then a comparison report is generated according to the parameters corresponding to the same vehicle labels to be displayed for the user, so that the effect of assisting the user in selecting the vehicle is achieved.
It should be noted that, after the above embodiment, there is a step of cleaning up the preview database:
illustratively, the preview database stores vehicle information about vehicles at will by the user, and the system periodically clears the preview database after the comparison operation in order to prevent redundancy and confusion of data in the preview database. The cleaning process specifically comprises the following steps: the user can select or finish selecting the vehicle through the displayed comparison report, then the system responds to the vehicle selecting or finishing operation to record the current time, and after the preset time interval, the system can delete the vehicle information of the vehicle which the user wishes in the preview database, and the preset time interval can be set according to the actual situation, for example, the preset time interval is set to be 60 minutes in the application. The user can also select to reserve the vehicle information and send a reserve instruction, and the system can respond to the reserve instruction to not delete the vehicle information of the vehicle corresponding to the user wish in the preview database.
The following are system embodiments of the present application that may be used to perform method embodiments of the present application. For details not disclosed in the platform embodiments of the present application, reference is made to the method embodiments of the present application.
Referring to fig. 3, a system for implementing a vehicle exhibition implementation method based on a cloud exhibition according to an embodiment of the present application includes: an image acquisition module 301, an image conversion module 302, an image search module 303, a defect rating module 304, wherein:
the image recognition module 302 is configured to determine whether a pixel area of the vehicle in the visual image is greater than a preset pixel area threshold; if yes, taking the vehicle as a user willing vehicle;
the information retrieving module 303 is configured to determine whether a time when the user visually stays in the vehicle at his or her wish is longer than a preset duration; if yes, vehicle information of the vehicle which the user wants is called.
A data comparison module 304, configured to determine whether a user issues a comparison instruction; if yes, responding to the comparison instruction, and generating a comparison report according to the vehicle information to display.
It should be noted that: in the device provided in the above embodiment, when implementing the functions thereof, only the division of the above functional modules is used as an example, in practical application, the above functional allocation may be implemented by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to implement all or part of the functions described above. In addition, the embodiments of the apparatus and the method provided in the foregoing embodiments belong to the same concept, and specific implementation processes of the embodiments of the method are detailed in the method embodiments, which are not repeated herein.
The application also discloses electronic equipment. Referring to fig. 4, fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. The electronic device 400 may include: at least one processor 401, at least one network interface 404, a user interface 403, a memory 402, at least one communication bus 405.
Wherein a communication bus 405 is used to enable connected communications between these components.
The user interface 403 may include a Display screen (Display) and a Camera (Camera), and the optional user interface 403 may further include a standard wired interface and a standard wireless interface.
The network interface 404 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
Wherein the processor 401 may include one or more processing cores. The processor 401 connects the various parts within the entire server using various interfaces and lines, performs various functions of the server and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 402, and calling data stored in the memory 402. Alternatively, the processor 401 may be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), programmable logic array (Programmable Logic Array, PLA). The processor 401 may integrate one or a combination of several of a central processing unit (Central Processing Unit, CPU), an image processor (Graphics Processing Unit, GPU), a modem, etc. The CPU mainly processes an operating system, a user interface diagram, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 401 and may be implemented by a single chip.
The Memory 402 may include a random access Memory (Random Access Memory, RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 402 includes a non-transitory computer readable medium (non-transitory computer-readable storage medium). Memory 402 may be used to store instructions, programs, code sets, or instruction sets. The memory 402 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-described various method embodiments, etc.; the storage data area may store data or the like involved in the above respective method embodiments. The memory 402 may also optionally be at least one storage device located remotely from the aforementioned processor 401. Referring to fig. 4, an operating system, a network communication module, a user interface module, and an application program of a vehicle show implementation method based on a cloud show may be included in a memory 402 as a computer storage medium.
In the electronic device 400 shown in fig. 4, the user interface 403 is mainly used as an interface for providing input for a user, and obtains data input by the user; and processor 401 may be used to invoke an application in memory 402 that stores a cloud-display-based vehicle show implementation method, which when executed by one or more processors 401, causes electronic device 400 to perform the method as in one or more of the embodiments described above. It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all of the preferred embodiments, and that the acts and modules referred to are not necessarily required for the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, such as a division of units, merely a division of logic functions, and there may be additional divisions in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some service interface, device or unit indirect coupling or communication connection, electrical or otherwise.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in whole or in part in the form of a software product stored in a memory, comprising several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method of the various embodiments of the present application. And the aforementioned memory includes: various media capable of storing program codes, such as a U disk, a mobile hard disk, a magnetic disk or an optical disk.
The above are merely exemplary embodiments of the present disclosure and are not intended to limit the scope of the present disclosure. That is, equivalent changes and modifications are contemplated by the teachings of this disclosure, which fall within the scope of the present disclosure. Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure.
This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a scope and spirit of the disclosure being indicated by the claims.
Claims (10)
1. The vehicle exhibition implementation method based on the cloud exhibition is characterized by comprising the following steps of:
acquiring visual information of a user, and extracting a visual image in the visual information;
judging whether a vehicle pixel area in the visual image is larger than a preset pixel area threshold value or not;
if yes, taking the vehicle as a user willing vehicle;
judging whether the time for the user to visually stay in the vehicle at will of the user is longer than a preset time length or not;
if yes, vehicle information of the vehicle which the user wishes to use is called;
judging whether a user sends out a comparison instruction or not;
if yes, responding to the comparison instruction, and generating a comparison report according to the vehicle information.
2. A method for realizing a vehicle display based on a cloud exhibition according to claim 1, wherein the step of obtaining visual information of a user and determining a visual image in the visual information comprises the steps of:
visual information collected and uploaded by the VR glasses is received, and visual images corresponding to the visual stay areas of the users are extracted through a preset image recognition algorithm.
3. The cloud exhibition-based vehicle exhibition implementation method according to claim 1, wherein before the determining whether the vehicle pixel area in the visual image is greater than a preset pixel area threshold, further comprising:
judging whether a vehicle exists in the visual image;
if not, displaying the called small map, wherein the small map is provided with distribution information of different brands of vehicle exhibition halls in a preset area.
4. A cloud-display-based vehicle display implementation method according to claim 3, wherein after said determining whether a vehicle is present in the visual image, further comprises:
if vehicles exist in the visual image, judging whether the number of the vehicles in the visual image is larger than one;
if yes, acquiring a pixel area corresponding to the vehicle area in the visual image through a preset identification algorithm.
5. The cloud exhibition-based vehicle exhibition implementation method according to claim 1, wherein the retrieving the vehicle information of the user willing vehicle includes:
detecting the duration time of the vision of the user staying on the corresponding picture of the vehicle at will of the user to obtain the gazing duration;
judging whether the gazing duration is longer than a preset duration;
if yes, vehicle information corresponding to the user willingness vehicles in the database is retrieved and stored in a preview database.
6. The cloud exhibition-based vehicle exhibition implementation method according to claim 5, wherein the retrieving the vehicle information corresponding to the user willingness vehicles in the database and storing the vehicle information in the preview database further comprises:
receiving a comparison instruction sent by a user;
responding to the comparison instruction, calling each piece of vehicle information in the preview database to input a preset comparison algorithm model, and generating a comparison report;
and displaying the comparison report to a user.
7. The cloud exhibition-based vehicle exhibition implementation method according to claim 6, wherein the invoking the input of the vehicle information in the preview database into the preset comparison algorithm model comprises:
taking each piece of vehicle information in the preview database as a model input characteristic, and inputting a preset comparison algorithm model;
the comparison algorithm model attaches name labels to different types of parameters in the vehicle information;
respectively sequencing the parameters with the labels with the same names in the vehicle information according to the sequence from large to small to obtain a sequencing result, and attaching the parameters in the sequencing result with the corresponding vehicle labels;
and taking the sequencing result with the vehicle labels as a comparison report.
8. A system for implementing a cloud exhibition-based vehicle exhibition method according to claims 1-7, said system comprising:
the data acquisition module (301) is used for acquiring visual information of a user and obtaining a visual image in the visual information;
an image recognition module (302) for determining whether a vehicle pixel area in the visual image is greater than a preset pixel area threshold; if yes, taking the vehicle as a user willing vehicle;
the information calling module (303) is used for judging whether the time for the user to visually stay on the vehicle at will of the user is longer than a preset time length or not; if yes, vehicle information of the vehicle which the user wishes to use is called;
the data comparison module (304) is used for judging whether a user sends out a comparison instruction or not; if yes, responding to the comparison instruction, and generating a comparison report according to the vehicle information to display.
9. An electronic device comprising a processor (401), a memory (402), a user interface (403) and a network interface (404), the memory (402) being configured to store instructions, the user interface (403) and the network interface (404) being configured to communicate to other devices, the processor (401) being configured to execute the instructions stored in the memory (402) to cause the electronic device (400) to perform the method according to any one of claims 1-7.
10. A computer readable storage medium storing instructions which, when executed, perform the cloud display based vehicle display implementation method steps of any of claims 1-7.
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| CN202310905502.8A CN116931732A (en) | 2023-07-21 | 2023-07-21 | Vehicle exhibition implementation method, system, equipment and medium based on cloud exhibition |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117668372A (en) * | 2024-01-31 | 2024-03-08 | 江苏惊蛰云动科技有限公司 | Virtual exhibition system on digital wisdom exhibition line |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117668372A (en) * | 2024-01-31 | 2024-03-08 | 江苏惊蛰云动科技有限公司 | Virtual exhibition system on digital wisdom exhibition line |
| CN117668372B (en) * | 2024-01-31 | 2024-04-19 | 江苏惊蛰云动科技有限公司 | Virtual exhibition system on digital wisdom exhibition line |
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