WO2021027493A1 - 数据处理方法、装置及存储介质 - Google Patents

数据处理方法、装置及存储介质 Download PDF

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Publication number
WO2021027493A1
WO2021027493A1 PCT/CN2020/102872 CN2020102872W WO2021027493A1 WO 2021027493 A1 WO2021027493 A1 WO 2021027493A1 CN 2020102872 W CN2020102872 W CN 2020102872W WO 2021027493 A1 WO2021027493 A1 WO 2021027493A1
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Prior art keywords
target person
vehicle type
stay time
models
time
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PCT/CN2020/102872
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English (en)
French (fr)
Inventor
陈琛
高雨亭
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北京市商汤科技开发有限公司
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Application filed by 北京市商汤科技开发有限公司 filed Critical 北京市商汤科技开发有限公司
Priority to SG11202111596YA priority Critical patent/SG11202111596YA/en
Priority to JP2020569957A priority patent/JP7160952B2/ja
Priority to US17/122,216 priority patent/US20210097556A1/en
Publication of WO2021027493A1 publication Critical patent/WO2021027493A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/248—Presentation of query results
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/30—Scenes; Scene-specific elements in albums, collections or shared content, e.g. social network photos or video
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/08—Detecting or categorising vehicles
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/10—Recognition assisted with metadata

Definitions

  • This application relates to the field of computer vision, and in particular to a data processing method, device and storage medium.
  • the embodiment of the present application proposes a technical solution of a data processing method.
  • an embodiment of the present application provides a data processing method applied to a server, and the method includes: determining the total stay corresponding to multiple vehicle types based on the collected images of multiple target persons visiting within a preset time range Duration; determine the popularity ranking results of the multiple vehicle models based on the total stay time corresponding to the multiple vehicle models; send the popularity ranking results of the multiple vehicle models to the terminal.
  • the method further includes: determining the car type of interest of each target person based on the stay time information of each target person for multiple car models.
  • the determining the total stay time corresponding to the multiple vehicle types includes: based on the location information of the target person appearing in the multiple collected images and the preset vehicle type area corresponding to the multiple vehicle types Location information, determining the vehicle type area where the target person is located; determining the stay of the target person in the multiple captured images for multiple vehicle types based on the collection time of the captured image and the vehicle type area where the target person is located duration.
  • the determining the total stay time corresponding to multiple vehicle types includes: responding that the vehicle type regions corresponding to adjacent appearances of the target person are the same and the time difference corresponding to the adjacent appearances is less than Or equal to a preset time threshold, and the time difference corresponding to the adjacent appearance is included in the stay time of the target person in the corresponding vehicle model area.
  • the determining the total stay time corresponding to multiple vehicle types includes: in response to the time difference corresponding to the adjacent appearance of the target person being greater than a preset time threshold, determining not to The time difference corresponding to the appearance is included in the stay time of the target person in the corresponding vehicle type area.
  • the determining the total stay time corresponding to multiple vehicle types based on the collected images of multiple target persons of the target person visited within the preset time range includes: corresponding to the multiple vehicle types Each vehicle type area in the multiple vehicle type areas is equipped with an independent accumulator; taking a set time period as a unit, the accumulator is used to accumulate the stay time of the target person appearing in the vehicle type area to obtain the set time period The accumulated stay time of the vehicle type area in the vehicle type area; accumulate the accumulated stay time of the vehicle type area of at least one set time period within the set time range to obtain the total stay time of the vehicle type area.
  • the method further includes: resetting the accumulator in response to the expiration of the set time period.
  • the method further includes: receiving a first query condition sent by the terminal, where the first query condition includes at least the preset time range; To determine the total length of stay corresponding to multiple vehicle models, including: in response to the first query condition, based on the collected images of multiple target persons visited within a preset time range, determining the The total length of stay corresponding to each vehicle type.
  • an embodiment of the present application provides a data processing method, applied to a terminal, the method includes: receiving the popularity ranking results of multiple vehicle models sent by a server; displaying the thermal ranking results of the multiple vehicle models; wherein, The popularity of the vehicle type is obtained by the server based on the total stay time corresponding to multiple vehicle types within a preset time range.
  • the method further includes: receiving a first query condition, where the first query condition includes at least the preset time range; and sending the first query condition to the server.
  • an embodiment of the present application provides a data processing device.
  • the device includes: a first determining module configured to determine multiple vehicle models based on collected images of multiple target persons visiting within a preset time range The corresponding total stay time; the second determining module is configured to determine the popularity ranking results of the multiple vehicle models based on the total stay time corresponding to the multiple vehicle models; the sending processing module is configured to send the multiple vehicle models to the terminal The ranking results of the popularity of the models.
  • the device further includes: a third determining module configured to determine the car type of interest of each target person based on the stay time information of each target person for multiple car models.
  • the second determining module is configured to: based on the location information of the target person appearing in the multiple collected images and the location information of the preset vehicle model area corresponding to the multiple vehicle models, Determine the vehicle type area where the target person is located; determine the duration of stay of the target person appearing in the multiple collected images for multiple vehicle types according to the collection time of the collected images and the vehicle type area where the target person is located.
  • the second determination module is configured to respond to that the vehicle type regions corresponding to adjacent appearances of the target person are the same and the time difference corresponding to the adjacent appearances is less than or equal to the expected time difference.
  • a time threshold is set, and the time difference corresponding to the adjacent appearance is included in the stay time of the target person in the corresponding vehicle type area.
  • the second determining module is configured to: in response to the time difference corresponding to the adjacent appearance of the target person being greater than a preset time threshold, determine not to correspond to the adjacent appearance The time difference is included in the stay time of the target person in the corresponding vehicle model area.
  • the second determining module includes: a configuration unit configured to configure an independent accumulator for each of the multiple vehicle type areas corresponding to the multiple vehicle types; a control unit , Configured to: take a set time period as a unit, accumulate the stay time of the target person appearing in the vehicle type area through the accumulator to obtain the accumulated stay time of the vehicle type area in the set time period; The determining unit is configured to accumulate the accumulated stay time of the vehicle type area in at least one of the set time periods within the set time range to obtain the total stay time of the vehicle type area.
  • control unit is further configured to reset the accumulator in response to the expiration of the set time period.
  • the device further includes: a receiving processing module configured to receive a first query condition sent by the terminal, where the first query condition includes at least the preset time range;
  • the second determining module is further configured to: in response to the first query condition, determine the total stay time corresponding to the multiple vehicle types based on the collected images of multiple target persons visited within the preset time range.
  • an embodiment of the present application provides a data processing device, which is applied to a terminal, and the device includes: a communication module configured to receive the popularity ranking results of multiple vehicle models sent by a server; and a display processing module configured to Displaying the ranking results of the popularity of the multiple vehicle types; wherein the popularity of the vehicle type is obtained by the server based on the total stay time corresponding to the multiple vehicle types within a preset time range.
  • the device further includes: an input module configured to receive a first query condition, the first query condition includes at least the preset time range; the communication module is further configured To send the first query condition to the server.
  • an embodiment of the present application provides a data processing device.
  • the device includes a memory, a processor, and a computer program stored on the memory and running on the processor.
  • the processor executes the program, The steps of the data processing method applied to the server side described in the embodiments of the present application are implemented.
  • an embodiment of the present application provides a storage medium, the storage medium stores a computer program, and when the computer program is executed by a processor, the processor executes the application server described in the embodiment of the present application. The steps of the data processing method on the side.
  • an embodiment of the present application provides a data processing device.
  • the device includes a memory, a processor, and a computer program stored in the memory and running on the processor.
  • the processor executes the program, The steps of the data processing method applied to the terminal side described in the embodiments of the present application are implemented.
  • an embodiment of the present application provides a storage medium, the storage medium stores a computer program, and when the computer program is executed by a processor, the processor executes the application described in each embodiment of the present application. The steps of the data processing method on the terminal side.
  • an embodiment of the present application provides a computer program, including computer-readable code.
  • the processor in the electronic device executes the implementation of the disclosure. The data processing method described in the example.
  • the technical solution provided by the embodiments of the present application determines the total stay time corresponding to multiple vehicle models based on the collected images of multiple target persons visiting within a preset time range; and determines the total stay time corresponding to the multiple vehicle models based on the total stay time corresponding to the multiple vehicle models.
  • the heat ranking results of the multiple car models; the heat ranking results of the multiple car models are sent to the terminal; in this way, the heat ranking of the car models is determined based on the length of time the target person stays in the model area, which is beneficial for the staff to carry out targeted work according to the car’s heat And service to improve customer experience and sales conversion rate.
  • FIG. 1 is a schematic diagram 1 of the implementation flow of a data processing method provided by an embodiment of this application;
  • FIG. 2 is a second schematic diagram of the implementation process of the data processing method provided by an embodiment of the application.
  • FIG. 3 is a schematic diagram of a vehicle model popularity display interface provided by an embodiment of the application.
  • FIG. 4 is a schematic diagram 1 of the structure of the data processing device provided by an embodiment of the application.
  • FIG. 5 is a second schematic diagram of the structure of the data processing device provided by an embodiment of the application.
  • FIG. 6 is a block diagram of an apparatus 600 for implementing data processing provided by an embodiment of the application.
  • the embodiment of the present application provides a data processing method applied to the server side, where the server may be a cloud server or a common server; the data processing method may also be applied to electronic equipment, where the electronic equipment may be a user equipment (User Equipment). , UE), mobile devices, user terminals, cellular phones, cordless phones, personal digital assistants (PDAs), handheld devices, computing devices, vehicle-mounted devices, wearable devices, etc.
  • the method mainly includes:
  • Step S101 Based on the collected images of multiple target persons visited within a preset time range, determine the total stay time corresponding to multiple vehicle types.
  • the total stay time corresponding to multiple vehicle models refers to the total stay time for each of the multiple vehicle models.
  • the total length of stay for different models may be different.
  • the cumulative stay time of vehicle type 1 in the first set time period is t1
  • the cumulative stay time in the second set time period is t2
  • the cumulative stay time in the third set time period is t3
  • the sum of the total stay time of vehicle type 1 is t1+t2+t3.
  • the accumulated stay time of Model 2 in the first set time period is t1'
  • the accumulated stay time in the second set time period is t2'
  • the accumulated stay time in the third set time period is t3'
  • the sum of the total stay time of the vehicle type 1 is t1'+t2'+t3'.
  • the target person does not include people who are on the whitelist.
  • the white list often refers to people who will not have an impact on the popularity of the model or have a negligible impact, for example, people who have no purchase demand or have low purchase demand.
  • the white list includes at least one of the following: 4S shop employees, cleaning personnel, maintenance masters, express personnel, and takeaway personnel.
  • the persons in the whitelist can be set or adjusted according to user requirements.
  • the whitelisted person when recognizing the captured image of the image capture device, first determine whether the currently recognized object belongs to a whitelisted person; if it belongs to a whitelisted person, ignore the current recognized object; if it does not belong to The whitelisted person determines that the currently identified object is the target person, and analyzes the length of stay of the target person on multiple models.
  • the determining the total stay time corresponding to multiple vehicle types includes:
  • the area where the preset vehicle type area is located is greater than or equal to the area occupied by a bicycle, and the preset vehicle type area may be delineated automatically by the system or manually.
  • each preset model area can have an independent number, and each model can correspond to multiple preset model areas.
  • the corresponding relationship between the vehicle type and the vehicle type area can be determined based on manual settings by the user.
  • the corresponding relationship between the vehicle type and the vehicle type area can also be determined based on the automatic setting of the system, for example, based on the shape and identification of the vehicle itself.
  • each vehicle type corresponds to a vehicle type area.
  • Haval H6 models are displayed in model area 1
  • Haval H7 models are displayed in model area 2
  • Haval M6 models are displayed in model area 3
  • Haval F7 models are displayed in model area 4.
  • the same car model can correspond to one or more car model areas.
  • Haval H6 models are displayed in model areas 1 and 2
  • Haval H7 models are displayed in model areas 3 and 4
  • Haval M6 models are displayed in model area 5
  • Haval F7 models are displayed in model area 6.
  • the relationship between the vehicle type and the vehicle type area may be predetermined.
  • the user may set the relationship between the vehicle type and the vehicle type area, or determine the relationship between the vehicle type and the vehicle type area based on the location of the vehicle.
  • the determining the total stay time corresponding to multiple vehicle types includes:
  • the time difference corresponding to the adjacent appearances is included in the target person The length of stay in the corresponding vehicle type area.
  • the determining the total stay time corresponding to multiple vehicle types includes:
  • preset time threshold can be set or adjusted according to actual conditions or user needs.
  • the front-end server responsible for image acquisition and image recognition processing sends a message every 1 minute to the back-end server responsible for car model analysis.
  • the message contains the time of each target person Information and location information; the back-end server received a message about target person A’s visit information, specifically including that target person A appeared in the first model area at 9:00; at the 7th minute, the back-end server received information about the target Person A’s visit information specifically includes that target person A appeared in the first model area at 9:07; and at the second, 3, 4, 5, and 6 minutes, the background server did not receive the target
  • the background server determines that the target person A is actually captured, and the stay time of the target person A is not recorded.
  • the back-end server received the visit information about the target person B, specifically including the target person B appeared in the first model area at 9:01; at the second minute, the back-end server received When it comes to the visit information about target person B, it specifically includes that target person B appeared in the second model area at 9:02, and in the 3rd, 4th, 5th, 6th, and 7th minutes, the background server did not receive it. Regarding the message of target person B, then the background server determines that target person B has actually left, and does not record the stay time of target person B.
  • the back-end server received the visit information about the target person C, specifically including the target person C appeared in the first model area at 9:01; at the second minute, the back-end server received When it comes to the visit information about target person C, it specifically includes that target person C appeared in the second model area at 9:02, and in the 3rd, 4th, 5th, 6th and 7th minutes, the background server did not receive it.
  • the background server determines that the stay time of the target person C in the area of the first vehicle type is 1 minute.
  • the determining the total stay time corresponding to the multiple vehicle types based on the collected images of multiple target persons visited within the preset time range includes:
  • the method further includes:
  • the accumulator In response to the expiration of the set time period, the accumulator is reset.
  • set time period can be set or adjusted according to user requirements.
  • each car model every day has a separate accumulator, and the value accumulated by the accumulator is stored at the end of the day, and then the accumulator is reset , In order to count the length of stay of the target person in the next day.
  • the preset time range includes 3 set time periods, the accumulated stay time of the first vehicle type area in the first set time period is t1, and the cumulative stay time of the first vehicle type area in the second set time period The duration is t2, and the accumulated stay time of the first vehicle type area in the third set time period is t3. Then, within the preset time range, the sum of the accumulated stay time of the first vehicle type area is t1+t2+t3.
  • Step S102 Determine the popularity ranking result of the multiple vehicle types based on the total stay time corresponding to the multiple vehicle types.
  • the determining the popularity ranking result of the multiple vehicle models based on the total stay time corresponding to the multiple vehicle models includes:
  • Step S103 Send the popularity ranking results of the multiple vehicle models to the terminal.
  • the method further includes:
  • the determining the total stay time corresponding to the multiple vehicle types based on the collected images of multiple target persons visited within the preset time range includes:
  • the total stay time corresponding to the multiple vehicle types is determined.
  • the terminal can be provided with query services, and the terminal can be provided with the popularity of the models within a certain time range, so that the staff can make work plans based on the popularity of the models to improve customer experience and sales conversion rate.
  • the method further includes:
  • determining the car model of a single target person’s attention will facilitate sales to provide targeted services to the target person when the target person visits next time, thereby improving the target person’s experience and sales conversion rate.
  • the technical solution of this embodiment determines the total stay time corresponding to multiple vehicle models based on the collected images of multiple target persons visited within a preset time range; and determines the total stay time corresponding to the multiple vehicle models based on the total stay time corresponding to the multiple vehicle models.
  • the popularity ranking results of multiple car models; the heat ranking results of the multiple car models are sent to the terminal; in this way, the popularity ranking of the car models is determined based on the length of time the target person stays in the model area, which is beneficial for the staff to carry out targeted work and Service, thereby improving customer experience and sales conversion rate.
  • the embodiment of the application provides a data processing method, which is applied to a terminal, and the terminal may be a user equipment (UE), a mobile device, a user terminal, a cellular phone, a cordless phone, or a personal digital assistant (Personal Digital Assistant). , PDA), handheld devices, computing devices, in-vehicle devices, wearable devices, etc.
  • the terminal is used to query and receive the popularity ranking results of multiple vehicle models. As shown in Figure 2, the method includes:
  • Step S201 Receive the popularity ranking results of multiple vehicle models sent by the server.
  • the popularity of the vehicle type is obtained by the server based on the total stay time corresponding to multiple vehicle types within a preset time range.
  • Step S202 Display the popularity ranking results of the multiple vehicle types.
  • the method further includes:
  • the server After the server receives the first query condition sent by the terminal, in response to the first query condition, the total stay time corresponding to the multiple vehicle types is determined based on the collected images of multiple target persons visited within the preset time range.
  • the method further includes:
  • the second query condition is sent to the server, so that the server determines the car type of interest of the first target person according to the second query condition.
  • the identifier is an ID card number, mobile phone number, WeChat ID, etc.
  • the identifier may also be an image containing the target person's face or human body characteristics.
  • the method further includes:
  • the terminal can query the car models of a single target person, which is convenient for sales to provide targeted services to the target person according to the car models of the target person's attention, and improve the target person's experience and sales conversion rate.
  • Figure 3 shows a vehicle model popularity display interface. As shown in Figure 3, the store model popularity ranking is displayed on the display interface. The display interface also displays the number of real-time passenger flow, the proportion of new and old target characters, age distribution, and gender. Distribution etc.
  • the calculation methods of staying time of the same vehicle type include:
  • Each vehicle model every day has a separate dwell time accumulator, which is placed on the market at the end of the day.
  • the receiving time range on the terminal is the query condition of D1 on a certain historical day
  • the server filters out the stay time of each vehicle model on D1 from the database based on the query condition, and ranks the vehicle popularity rankings
  • the receiving time range on the terminal is the query condition of D-Current of the day
  • the server filters out the stay time of each vehicle model on D-Current from the accumulator based on the query condition, and the ranking of vehicle popularity is obtained after sorting;
  • the terminal receives the query conditions in the time range of D1 ⁇ D2, and the server filters out the staying time of each vehicle type D1 ⁇ D2 from the database or accumulator based on the query conditions, and then groups them and accumulates them by vehicle type. Get the total length of stay of each model, and get the popularity ranking of models after sorting.
  • 4S store sales and stores can find out the target person's attention to each model in the store, and combine the needs of store model promotion and marketing strategies to provide data support for the placement of models in the 4S store and feedback on marketing activities; especially For regional companies, dealers and OEMs, they can remotely know the level of attention of various store target groups to each model without leaving home, so as to support operational decision-making and evaluation of sales/store work effects.
  • an embodiment of the present application provides a data processing device. As shown in FIG. 4, the device includes:
  • the first determining module 10 is configured to determine the total stay time corresponding to the multiple vehicle types based on the collected images of multiple target persons visiting within a preset time range;
  • the second determining module 20 is configured to determine the popularity ranking results of the multiple vehicle models based on the total stay time corresponding to the multiple vehicle models;
  • the sending processing module 30 is configured to send the popularity ranking results of the multiple vehicle models to the terminal.
  • the device further includes:
  • the third determining module 40 is configured to determine the car type of interest of each target person based on the stay time information of each target person for multiple car models.
  • the second determining module 20 is configured to:
  • the second determining module 20 is configured to:
  • the time difference corresponding to the adjacent appearances is included in the target The length of time the character stays in the area of the vehicle type.
  • the second determining module 20 is configured to:
  • the second determining module 20 includes:
  • the configuration unit is configured to: configure an independent accumulator for each of the multiple vehicle type areas corresponding to the multiple vehicle types;
  • the control unit is configured to: take a set time period as a unit, accumulate the stay time of the target person appearing in the vehicle type area through the accumulator to obtain the cumulative stay of the vehicle type area in the set time period duration;
  • the determining unit is configured to accumulate the accumulated stay time of the vehicle type area in at least one of the set time periods within the set time range to obtain the total stay time of the vehicle type area.
  • control unit is also configured to:
  • the accumulator In response to the expiration of the set time period, the accumulator is reset.
  • the device further includes:
  • the receiving processing module 50 is configured to receive a first query condition sent by the terminal, where the first query condition includes at least the preset time range;
  • the second determining module 20 is also configured to:
  • the total stay time corresponding to the multiple vehicle types is determined.
  • each processing module in the data processing device shown in FIG. 4 can be understood with reference to the relevant description of the aforementioned data processing method.
  • the function of each processing unit in the data processing device shown in FIG. 4 can be implemented by a program running on a processor, or can be implemented by a specific logic circuit.
  • the specific structures of the first determining module 10, the second determining module 20, the sending processing module 30, the third determining module 40, and the receiving processing module 50 described above can all correspond to processors.
  • the specific structure of the processor may be a central processing unit (CPU, Central Processing Unit), a microprocessor (MCU, Micro Controller Unit), a digital signal processor (DSP, Digital Signal Processing), or a programmable logic device (PLC, Programmable Logic Controller) and other electronic components or collections of electronic components with processing functions.
  • the processor includes executable code
  • the executable code is stored in a storage medium, and the processor can be connected to the storage medium through a communication interface such as a bus.
  • a communication interface such as a bus.
  • the data processing device provided by the embodiment of the application can determine the popularity of each vehicle model based on the total stay time of the target person on the vehicle model, which is beneficial for the staff to perform targeted work and services according to the popularity of the vehicle model, thereby improving customer experience and sales conversion rate.
  • the embodiment of the present application also records a data processing device.
  • the device includes a memory, a processor, and a computer program stored in the memory and running on the processor.
  • the processor implements any of the foregoing when the program is executed.
  • a data processing method provided by a technical solution.
  • the time difference corresponding to the adjacent appearances is included in the target The length of time the character stays in the corresponding vehicle model area.
  • the accumulator In response to the expiration of the set time period, the accumulator is reset.
  • the total stay time corresponding to the multiple vehicle types is determined.
  • the data processing device provided by the embodiment of the application can determine the popularity of each vehicle model based on the length of time the target person stays in the vehicle area, which is beneficial for the staff to perform targeted work and services according to the popularity of the vehicle model, thereby improving customer experience and sales conversion rate.
  • an embodiment of the present application provides a data processing device. As shown in FIG. 5, the device includes:
  • the communication module 60 is configured to receive the popularity ranking results of multiple vehicle models sent by the server;
  • the display processing module 70 is configured to display the popularity ranking results of the multiple vehicle models
  • the popularity of the vehicle type is obtained by the server based on the total stay time corresponding to multiple vehicle types within a preset time range.
  • the device further includes:
  • the input module 80 is configured to receive a first query condition, where the first query condition includes at least the preset time range;
  • the communication module 60 is also configured to send the first query condition to the server.
  • each processing module in the data processing device shown in FIG. 5 can be understood with reference to the relevant description of the foregoing data processing method.
  • the function of each processing unit in the data processing device shown in FIG. 5 can be implemented by a program running on a processor, or can be implemented by a specific logic circuit.
  • the specific structures of the aforementioned communication module 60, display processing module 70, and input module 80 can all correspond to processors.
  • the specific structure of the processor may be an electronic component or a collection of electronic components with processing functions such as CPU, MCU, DSP or PLC.
  • the processor includes executable code, the executable code is stored in a storage medium, and the processor can be connected to the storage medium through a communication interface such as a bus.
  • a communication interface such as a bus.
  • the data processing device provided in the embodiment of the application can provide the terminal with a car model popularity ranking compatible with the query conditions, which is beneficial for the staff to perform targeted work and services according to the car model popularity, thereby improving customer experience and sales conversion rate.
  • the embodiment of the present application also records a data processing device.
  • the device includes a memory, a processor, and a computer program stored in the memory and running on the processor.
  • the processor implements any of the foregoing when the program is executed.
  • a data processing method provided by a technical solution.
  • the popularity of the vehicle type is obtained by the server based on the total stay time corresponding to multiple vehicle types within a preset time range.
  • each processing module in the data processing device shown in FIG. 5 can be understood with reference to the relevant description of the foregoing data processing method.
  • the function of each processing unit in the data processing device shown in FIG. 5 can be implemented by a program running on a processor, or can be implemented by a specific logic circuit.
  • the data processing device provided in the embodiment of the application can provide the terminal with a car model popularity ranking compatible with the query conditions, which is beneficial for the staff to perform targeted work and services according to the car model popularity, thereby improving customer experience and sales conversion rate.
  • the embodiments of the present application also record a computer storage medium in which computer-executable instructions are stored, and the computer-executable instructions are used to execute the data processing methods applied to the server in the foregoing various embodiments.
  • the data processing method applied to the server provided by any one of the foregoing technical solutions can be implemented.
  • the embodiments of the present application also record a computer storage medium in which computer-executable instructions are stored, and the computer-executable instructions are used to execute the data processing methods for use and terminal described in the foregoing embodiments. .
  • the data processing method applied to the terminal provided by any one of the foregoing technical solutions can be implemented.
  • the computer storage medium may be a volatile computer-readable storage medium or a non-volatile computer-readable storage medium.
  • the embodiments of the present disclosure also provide a computer program product, which includes computer-readable code.
  • the processor in the device executes the data processing method provided in any of the above embodiments.
  • the above-mentioned computer program product can be specifically implemented by hardware, software or a combination thereof.
  • the computer program product is specifically embodied as a computer storage medium.
  • the computer program product is specifically embodied as a software product, such as a software development kit (SDK), etc. Wait.
  • SDK software development kit
  • Fig. 6 is a schematic structural diagram of a data processing device according to another embodiment of the present invention.
  • the data processing device 600 can be a mobile phone, a computer, a digital broadcasting terminal, an information transceiver, a game console, a tablet device, a medical device, a fitness device, or a personal Digital assistants, etc.
  • the data processing apparatus 600 shown in FIG. 6 includes: at least one processor 601, a memory 602, at least one network interface 604, and a user interface 603.
  • the various components in the data processing device 600 are coupled together through a bus system 605. It can be understood that the bus system 605 is used to implement connection and communication between these components.
  • the bus system 605 also includes a power bus, a control bus, and a status signal bus. However, for clarity of description, various buses are marked as the bus system 605 in FIG. 6.
  • the user interface 603 may include a display, a keyboard, a mouse, a trackball, a click wheel, keys, buttons, a touch panel, or a touch screen.
  • the memory 602 may be a volatile memory or a nonvolatile memory, and may also include both volatile and nonvolatile memory.
  • the non-volatile memory can be a read only memory (ROM, Read Only Memory), a programmable read only memory (PROM, Programmable Read-Only Memory), an erasable programmable read only memory (EPROM, Erasable Programmable Read- Only Memory, Electrically Erasable Programmable Read-Only Memory (EEPROM, Electrically Erasable Programmable Read-Only Memory), magnetic random access memory (FRAM, ferromagnetic random access memory), flash memory (Flash Memory), magnetic surface memory , CD-ROM, or CD-ROM (Compact Disc Read-Only Memory); magnetic surface memory can be magnetic disk storage or tape storage.
  • the volatile memory may be random access memory (RAM, Random Access Memory), which is used as an external cache.
  • RAM random access memory
  • SRAM static random access memory
  • SSRAM synchronous static random access memory
  • DRAM Dynamic Random Access Memory
  • SDRAM Synchronous Dynamic Random Access Memory
  • DDRSDRAM Double Data Rate Synchronous Dynamic Random Access Memory
  • ESDRAM enhanced Type synchronous dynamic random access memory
  • SLDRAM Sync Link Dynamic Random Access Memory
  • direct memory bus random access memory DRRAM, Direct Rambus Random Access
  • DRRAM Direct Rambus Random Access
  • the memory 602 described in the embodiment of the present invention is intended to include, but is not limited to, these and any other suitable types of memory.
  • the memory 602 in the embodiment of the present invention is used to store various types of data to support the operation of the data processing apparatus 600.
  • Examples of such data include: any computer program used to operate on the data processing device 600, such as an operating system 6021 and an application program 7022; contact data; phone book data; messages; pictures; videos, etc.
  • the operating system 6021 includes various system programs, such as a framework layer, a core library layer, a driver layer, etc., for implementing various basic services and processing hardware-based tasks.
  • the application program 6022 may include various application programs, such as a media player (Media Player), a browser (Browser), etc., for implementing various application services.
  • the program for implementing the method of the embodiment of the present invention may be included in the application program 6022.
  • the method disclosed in the foregoing embodiment of the present invention may be applied to the processor 601 or implemented by the processor 601.
  • the processor 601 may be an integrated circuit chip with signal processing capability. In the implementation process, the steps of the above method can be completed by hardware integrated logic circuits in the processor 601 or instructions in the form of software.
  • the aforementioned processor 601 may be a general-purpose processor, a digital signal processor (DSP, Digital Signal Processor), or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, and the like.
  • the processor 601 may implement or execute various methods, steps, and logical block diagrams disclosed in the embodiments of the present invention.
  • the general-purpose processor may be a microprocessor or any conventional processor.
  • the steps of the method disclosed in the embodiments of the present invention can be directly embodied as being executed and completed by a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor.
  • the software module may be located in a storage medium, and the storage medium is located in the memory 602.
  • the processor 601 reads the information in the memory 602 and completes the steps of the foregoing method in combination with its hardware.
  • the data processing apparatus 600 may be implemented by one or more application specific integrated circuits (ASIC, Application Specific Integrated Circuit), DSP, programmable logic device (PLD, Programmable Logic Device), and complex programmable logic device (CPLD, Complex Programmable Logic Device, Field-Programmable Gate Array (FPGA, Field-Programmable Gate Array), general-purpose processor, controller, microcontroller (MCU, Micro Controller Unit), microprocessor (Microprocessor), or other Electronic components are implemented to perform the aforementioned methods.
  • ASIC application specific integrated circuits
  • DSP programmable logic device
  • PLD Programmable Logic Device
  • CPLD Complex Programmable Logic Device
  • FPGA Field-Programmable Gate Array
  • MCU microcontroller
  • Microcontroller Micro Controller Unit
  • Microprocessor Microprocessor
  • the disclosed device and method may be implemented in other ways.
  • the device embodiments described above are merely illustrative.
  • the division of the units is only a logical function division, and there may be other divisions in actual implementation, such as: multiple units or components can be combined, or It can be integrated into another system, or some features can be ignored or not implemented.
  • the coupling, or direct coupling, or communication connection between the components shown or discussed may be indirect coupling or communication connection through some interfaces, devices or units, and may be electrical, mechanical or other forms of.
  • the units described above as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • the functional units in the embodiments of the present application can all be integrated into one processing unit, or each unit can be individually used as a unit, or two or more units can be integrated into one unit;
  • the unit can be implemented in the form of hardware, or in the form of hardware plus software functional units.
  • the foregoing program can be stored in a computer readable storage medium.
  • the execution includes The steps of the foregoing method embodiment; and the foregoing storage medium includes: removable storage devices, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disks or optical disks, etc.
  • the medium storing the program code.
  • the above-mentioned integrated unit of this application is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer readable storage medium.
  • the computer software product is stored in a storage medium and includes several instructions for A computer device (which may be a personal computer, a server, or a network device, etc.) executes all or part of the methods described in the various embodiments of the present application.
  • the aforementioned storage media include: removable storage devices, ROM, RAM, magnetic disks, or optical disks and other media that can store program codes.
  • the technical solution provided by the embodiments of the present application determines the total stay time corresponding to multiple vehicle models based on the collected images of multiple target persons visiting within a preset time range; and determines the total stay time corresponding to the multiple vehicle models based on the total stay time corresponding to the multiple vehicle models.
  • the heat ranking results of the multiple car models; the heat ranking results of the multiple car models are sent to the terminal; in this way, the heat ranking of the car models is determined based on the length of time the target person stays in the model area, which is beneficial for the staff to carry out targeted work according to the car’s heat And service to improve customer experience and sales conversion rate.

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Abstract

一种数据处理方法、装置及存储介质，其中，所述方法包括：基于预设时间范围内到访的多个目标人物的采集图像，确定多个车型对应的总停留时长（S101）；基于所述多个车型对应的总停留时长，确定所述多个车型的热度排序结果（S102）；向终端发送所述多个车型的热度排序结果（S103）。

Description

数据处理方法、装置及存储介质
相关申请的交叉引用
本申请基于申请号为201910751054.4、申请日为2019年08月14日的中国专利申请提出，并要求该中国专利申请的优先权，该中国专利申请的全部内容在此引入本申请作为参考。
技术领域
本申请涉及计算机视觉领域，具体涉及一种数据处理方法、装置及存储介质。
背景技术
4S店实际运营过程中，销售人员通过接待和客户跟进工作，是可以了解到单体客户对车型的关注度的，但是洞察群体客户对各个车型的关注度尚无有效解决方案。
发明内容
本申请实施例提出了一种数据处理方法的技术方案。
第一方面，本申请实施例提供了一种数据处理方法，应用于服务器，所述方法包括：基于预设时间范围内到访的多个目标人物的采集图像，确定多个车型对应的总停留时长；基于所述多个车型对应的总停留时长，确定所述多个车型的热度排序结果；向终端发送所述多个车型的热度排序结果。
在一种可能的实现方式中，所述方法还包括：基于每个目标人物对于多个车型的停留时长信息，确定所述每个目标人物的关注车型。
在一种可能的实现方式中，所述确定多个车型对应的总停留时长，包括：基于所述多个采集图像中出现目标人物的位置信息和所述多个车型对应的预设车型区域的位置信息，确定所述目标人物所在的车型区域；根据所述采集图像的采集时间和所述目标人物所在的车型区域，确定所述多个采集图像中所出现的目标人物对于多个车型的停留时长。
在一种可能的实现方式中，所述确定多个车型对应的总停留时长，包括：响应于所述目标人物的相邻出现所对应的车型区域相同且所述相邻出现所对应的时间差小于或等于预设时间阈值，将所述相邻出现所对应的时间差计入所述目标人物在所述对应的车型区域的停留时长。
在一种可能的实现方式中，所述确定多个车型对应的总停留时长，包括：响应于所述目标人物的相邻出现所对应的时间差大于预设时间阈值，确定不将所述相邻出现所对应的时间差计入所述目标人物在所述对应的车型区域的停留时长。
在一种可能的实现方式中，所述基于预设时间范围内到访的目标人物多个目标人物的采集图像，确定多个车型对应的总停留时长，包括：为所述多个车型对应的多个车型区域中每个车型区域配置独立的累加器；以设定时间段为单位，通过所述累加器对所述车型区域出现的目标人物的停留时长进行累加，得到所述设定时间段内所述车型区域的累计停留时长；将所述设定时间范围内的至少一个所述设定时间段的所述车型区域的累计停留时长进行累加，得到所述车型区域的总停留时长。
在一种可能的实现方式中，所述方法还包括：响应于所述设定时间段超时，对所述累加器进行重置。
在一种可能的实现方式中，所述方法还包括：接收所述终端发送的第一查询条件，所述第一查询条件至少包括所述预设时间范围；所述基于预设时间范围内到访的多个目标人物的采集图像，确定多个车型对应的总停留时长，包括：响应于所述第一查询条件，基于预设时间范围内到访的多个目标人物的采集图像，确定多个车型对应的总停留时长。
第二方面，本申请实施例提供了一种数据处理方法，应用于终端，所述方法包括：接收服务器发送的多个车型的热度排序结果；显示所述多个车型的热度排序结果；其中，所述车型的热度是由所述服务器基于预设时间范围内多个车型对应的总停留时长得到的。
在一种可能的实现方式中，所述方法还包括：接收第一查询条件，所述第一查询条件至少包括 所述预设时间范围；向所述服务器发送所述第一查询条件。
第三方面，本申请实施例提供了一种数据处理装置，所述装置包括：第一确定模块，被配置为基于预设时间范围内到访的多个目标人物的采集图像，确定多个车型对应的总停留时长；第二确定模块，被配置为基于所述多个车型对应的总停留时长，确定所述多个车型的热度排序结果；发送处理模块，被配置为向终端发送所述多个车型的热度排序结果。
在一种可能的实现方式中，所述装置还包括：第三确定模块，被配置为基于每个目标人物对于多个车型的停留时长信息，确定所述每个目标人物的关注车型。
在一种可能的实现方式中，所述第二确定模块，被配置为：基于所述多个采集图像中出现目标人物的位置信息和所述多个车型对应的预设车型区域的位置信息，确定所述目标人物所在的车型区域；根据所述采集图像的采集时间和所述目标人物所在的车型区域，确定所述多个采集图像中所出现的目标人物对于多个车型的停留时长。
在一种可能的实现方式中，所述第二确定模块，被配置为：响应于所述目标人物的相邻出现所对应的车型区域相同且所述相邻出现所对应的时间差小于或等于预设时间阈值，将所述相邻出现所对应的时间差计入所述目标人物在所述对应的车型区域的停留时长。
在一种可能的实现方式中，所述第二确定模块，被配置为：响应于所述目标人物的相邻出现所对应的时间差大于预设时间阈值，确定不将所述相邻出现所对应的时间差计入所述目标人物在所述对应的车型区域的停留时长。
在一种可能的实现方式中，所述第二确定模块，包括：配置单元，被配置为：为所述多个车型对应的多个车型区域中每个车型区域配置独立的累加器；控制单元，被配置为：以设定时间段为单位，通过所述累加器对所述车型区域出现的目标人物的停留时长进行累加，得到所述设定时间段内所述车型区域的累计停留时长；确定单元，被配置为：将所述设定时间范围内的至少一个所述设定时间段的所述车型区域的累计停留时长进行累加，得到所述车型区域的总停留时长。
在一种可能的实现方式中，所述控制单元还被配置为：响应于所述设定时间段超时，对所述累加器进行重置。
在一种可能的实现方式中，所述装置还包括：接收处理模块，被配置为接收所述终端发送的第一查询条件，所述第一查询条件至少包括所述预设时间范围；所述第二确定模块，还被配置为：响应于所述第一查询条件，基于预设时间范围内到访的多个目标人物的采集图像，确定多个车型对应的总停留时长。
第四方面，本申请实施例提供了一种数据处理装置，应用于终端，所述装置包括：通信模块，被配置为接收服务器发送的多个车型的热度排序结果；显示处理模块，被配置为显示所述多个车型的热度排序结果；其中，所述车型的热度是由所述服务器基于预设时间范围内多个车型对应的总停留时长得到的。
在一种可能的实现方式中，所述装置还包括：输入模块，被配置为接收第一查询条件，所述第一查询条件至少包括所述预设时间范围；所述通信模块，还被配置为向所述服务器发送所述第一查询条件。
第五方面，本申请实施例提供了一种数据处理装置，所述装置包括：存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，所述处理器执行所述程序时实现本申请实施例所述的应用于服务器侧的数据处理方法的步骤。
第六方面，本申请实施例提供了一种存储介质，所述存储介质存储有计算机程序，所述计算机程序被处理器执行时，使得所述处理器执行本申请实施例所述的应用于服务器侧的数据处理方法的步骤。
第七方面，本申请实施例提供了一种数据处理装置，所述装置包括：存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，所述处理器执行所述程序时实现本申请各实施例所述的应用于终端侧的数据处理方法的步骤。
第八方面，本申请实施例提供了一种存储介质，所述存储介质存储有计算机程序，所述计算机程序被处理器执行时，使得所述处理器执行本申请各实施例所述的应用于终端侧的数据处理方法的步骤。
第九方面，本申请实施例提供了一种计算机程序，包括计算机可读代码，当所述计算机可读代码在电子设备中运行时，所述电子设备中的处理器执行用于实现本公开实施例所述的数据处理方法。
本申请实施例提供的技术方案，基于预设时间范围内到访的多个目标人物的采集图像，确定多个车型对应的总停留时长；基于所述多个车型对应的总停留时长，确定所述多个车型的热度排序结 果；向终端发送所述多个车型的热度排序结果；如此，基于目标人物在车型区域停留时长确定车型的热度排行，有利于工作人员根据车型的热度进行针对性工作和服务，从而提高顾客体验和销售转换率。
应当理解的是，以上的一般描述和后文的细节描述仅是示例性和解释性的，而非限制本公开。
附图说明
此处的附图被并入说明书中并构成本说明书的一部分，这些附图示出了符合本公开的实施例，并与说明书一起用于说明本公开的技术方案。
参照附图，根据下面的详细描述，可以更加清楚地理解本申请，其中：
图1为本申请实施例提供的数据处理方法的实现流程示意图一；
图2为本申请实施例提供的数据处理方法的实现流程示意图二；
图3为本申请实施例提供的车型热度展示界面示意图；
图4为本申请实施例提供的数据处理装置的组成结构示意图一；
图5为本申请实施例提供的数据处理装置的组成结构示意图二；
图6为本申请实施例提供的实现数据处理的装置600的框图。
具体实施方式
以下将参考附图详细说明本公开的各种示例性实施例、特征和方面。附图中相同的附图标记表示功能相同或相似的元件。尽管在附图中示出了实施例的各种方面，但是除非特别指出，不必按比例绘制附图。
在这里专用的词“示例性”意为“用作例子、实施例或说明性”。这里作为“示例性”所说明的任何实施例不必解释为优于或好于其它实施例。
本文中术语“和/或”，仅仅是一种描述关联对象的关联关系，表示可以存在三种关系，例如，a和/或b，可以表示：单独存在a，同时存在a和b，单独存在b这三种情况。另外，本文中术语“至少一种”表示多种中的任意一种或多种中的至少两种的任意组合，例如，包括a、b、c中的至少一种，可以表示包括从a、b和c构成的集合中选择的任意一个或多个元素。
另外，为了更好地说明本公开实施例，在下文的具体实施方式中给出了众多的具体细节。本领域技术人员应当理解，没有某些具体细节，本公开实施例同样可以实施。在一些实例中，对于本领域技术人员熟知的方法、手段、元件和电路未作详细描述，以便于凸显本公开实施例的主旨。
可以理解，本公开提及的上述各个方法实施例，在不违背原理逻辑的情况下，均可以彼此相互结合形成结合后的实施例，限于篇幅，本公开实施例不再赘述。
为了使本技术领域的人员更好地理解本申请实施例方案，下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚地描述，显然，所描述的实施例仅仅是本申请一部分的实施例，而不是全部的实施例。
本申请的说明书实施例和权利要求书及上述附图中的术语“第一”、“第二”、和“第三”等是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。此外，术语“包括”和“具有”以及他们的任何变形，意图在于覆盖不排他的包含，例如，包含了一系列步骤或单元。方法、系统、产品或设备不必限于清楚地列出的那些步骤或单元，而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。
本申请实施例提供一种数据处理方法，应用于服务器侧，其中，服务器可以为云服务器或普通服务器；所述数据处理方法还可以应用于电子设备，其中，电子设备可以为用户设备(User Equipment，UE)、移动设备、用户终端、蜂窝电话、无绳电话、个人数字处理机(Personal Digital Assistant，PDA)、手持设备、计算设备、车载设备、可穿戴设备等。如图1所示，所述方法主要包括：
步骤S101、基于预设时间范围内到访的多个目标人物的采集图像，确定多个车型对应的总停留时长。
其中，多个车型对应的总停留时长是指针对多个车型中的每个车型的总停留时长。不同车型对应的总停留时长可能不同。
示例性地，车型1在第1个设定时间段的累计停留时长为t1，在第2个设定时间段的累计停留时长为t2，在第3个设定时间段的累计停留时长为t3，那么，在该预设时间范围内，车型1的总停 留时长之和为t1+t2+t3。车型2在第1个设定时间段的累计停留时长为t1’，在第2个设定时间段的累计停留时长为t2’，在第3个设定时间段的累计停留时长为t3’，那么，在该预设时间范围内，车型1的总停留时长之和为t1’+t2’+t3’。
其中，停留时长之和越大，车型的热度越大；车型之和越小，车型的热度越小。
可以理解，所述目标人物不包括被列为白名单的人。
其中，白名单指的往往是不会对车型热度产生影响或是产生影响可忽略不计的人，比如，不存在购买需求或是购买需求较低的人。所述白名单包括下述至少之一：4S店的员工，保洁人员，维修师傅，快递人员，外卖人员。
需要说明的是，所述白名单中的人员可根据用户需求进行设定或调整。
在一种可选实施例中，对图像采集装置的采集图像进行识别时，先判断当前被识别对象是否属于白名单人员，如果属于白名单人员，则忽略所述当前被识别对象；如果不属于白名单人员，判定当前被识别对象为目标人物，并对该目标人物对多个车型的停留时长进行分析。
在一些实施方式中，所述确定多个车型对应的总停留时长，包括：
基于所述多个采集图像中出现目标人物的位置信息和所述多个车型对应的预设车型区域的位置信息，确定所述目标人物所在的车型区域；
根据所述采集图像的采集时间和所述目标人物所在的车型区域，确定所述多个采集图像中所出现的目标人物对于多个车型的停留时长。
这里，所述预设车型区域所在区域大于或等于单车所占区域，所述预设车型区域可由系统自动进行划定，或者由人为划定。实际应用中，每个预设车型区域都可有独立的编号，每个车型可对应多个预设车型区域。
需要说明的是，车型和车型区域的对应关系，可基于用户手动设置而确定。车型和车型区域的对应关系，也可基于系统自动设置而确定，比如基于车自身的形状和标识自动设置。比如，每个车型对应一个车型区域。示例性地，哈弗H6车型汽车在车型区域1展示，哈弗H7车型汽车在车型区域2展示，哈弗M6车型汽车在车型区域3展示，哈弗F7车型汽车在车型区域4展示。
再比如，相同车型可对应一个或多个车型区域。示例性地，哈弗H6车型汽车在车型区域1和2展示，哈弗H7车型汽车在车型区域3和4展示，哈弗M6车型汽车在车型区域5展示，哈弗F7车型汽车在车型区域6展示。
在一些实施例中，车型和车型区域的关系可以预先确定，比如，可由用户设置车型和车型区域的关系，或者基于车辆位置确定车型和车型区域的关系。
在一些实施方式中，所述确定多个车型对应的总停留时长，包括：
响应于所述目标人物的相邻出现所对应的车型区域相同且所述相邻出现所对应的时间差小于或等于预设时间阈值，将所述相邻出现所对应的时间差计入所述目标人物在所述对应的车型区域的停留时长。
在一些实施方式中，所述确定多个车型对应的总停留时长，包括：
响应于所述目标人物的相邻出现所对应的时间差大于预设时间阈值，确定不将所述相邻出现所对应的时间差计入所述目标人物在所述对应的车型区域的停留时长。
需要说明的是，所述预设时间阈值可根据实际情况或用户需求进行设定或调整。
示例性地，假设预设时间阈值为5分钟，负责采集图像和图像识别处理的前端服务器每隔1分钟向负责关注车型分析的后台服务器发送一次报文，该报文中含有各个目标人物的时间信息和位置信息；后台服务器接收到了关于目标人物A的到访信息的报文，具体包括目标人物A在第9：00出现在第1车型区域；在第7分钟时，后台服务器接收到了关于目标人物A的到访信息，具体包括目标人物A在第9：07出现在第1车型区域；而在第2分钟、3分钟、4分钟、5分钟，6分钟，后台服务器均没有接收到关于目标人物A的报文，那么，则后台服务器判定目标人物A实际上只是被抓拍到，不记录目标人物A的停留时长。
示例性地，假设在第1分钟时，后台服务器接收到了关于目标人物B的到访信息，具体包括目标人物B在第9：01出现在第1车型区域；在第2分钟时，后台服务器接收到了关于目标人物B的到访信息，具体包括目标人物B在第9：02出现在第2车型区域，在第3分钟、4分钟、5分钟，6分钟、7分钟，后台服务器均没有接收到关于目标人物B的报文，那么，则后台服务器判定目标人物B实际上已经离开，不记录目标人物B的停留时长。
示例性地，假设在第1分钟时，后台服务器接收到了关于目标人物C的到访信息，具体包括目标人物C在第9：01出现在第1车型区域；在第2分钟时，后台服务器接收到了关于目标人物C的 到访信息，具体包括目标人物C在第9：02出现在第2车型区域，在第3分钟、4分钟、5分钟，6分钟、7分钟，后台服务器均没有接收到关于目标人物C的报文，那么，则后台服务器判定目标人物C在第一车型区域的停留时间为1分钟。
如此，通过设定预设时间阈值来确定每个目标人物对车型的停留时长，从而为确定目标人物的关注车型提供更为合理的、更为精确的数据基础。
在一些实施方式中，所述基于预设时间范围内到访的多个目标人物的采集图像，确定多个车型对应的总停留时长，包括：
为所述多个车型对应的多个车型区域中每个车型区域配置独立的累加器；
以设定时间段为单位，通过所述累加器对所述车型区域出现的目标人物的停留时长进行累加，得到所述设定时间段内所述车型区域的累计停留时长；
将所述设定时间范围内的至少一个所述设定时间段的所述车型区域的累计停留时长进行累加，得到所述车型区域的总停留时长。
进一步地，所述方法还包括：
响应于所述设定时间段超时，对所述累加器进行重置。
需要说明的是，所述设定时间段可根据用户需求进行设定或调整。
为了保证数据的实时性，以设定时间段为一天为例，每天的每一个车型都有一个单独的累加器，一天结束时存储该累加器所累加得到的数值，然后对该累加器重置，以便于统计下一天的目标人物停留时长。
示例性地，预设时间范围包括3个设定时间段，第1车型区域在第1个设定时间段的累计停留时长为t1，第1车型区域在第2个设定时间段的累计停留时长为t2，第1车型区域在第3个设定时间段的累计停留时长为t3，那么，在该预设时间范围内，第1车型区域的累计停留时长之和为t1+t2+t3。
步骤S102、基于所述多个车型对应的总停留时长，确定所述多个车型的热度排序结果。
在一些实施例中，所述基于所述多个车型对应的总停留时长，确定所述多个车型的热度排序结果，包括：
比较多个车型对应的总停留时长的长短；
根据比较结果确定车型的热度排行。
如此，通过比较各车型区域下目标人物停总留时长，来确定各车型的热度。
其中，停留时长之和越大，车型的热度越大；车型之和越小，车型的热度越小。
步骤S103、向终端发送所述多个车型的热度排序结果。
在一种可能的实现方式中，所述方法还包括：
接收所述终端发送的第一查询条件，所述第一查询条件至少包括所述预设时间范围；
所述基于预设时间范围内到访的多个目标人物的采集图像，确定多个车型对应的总停留时长，包括：
响应于所述第一查询条件，基于预设时间范围内到访的多个目标人物的采集图像，确定多个车型对应的总停留时长。
如此，可为终端提供查询服务，能为终端提供某一时间范围内车型的热度，便于工作人员根据车型的热度制定工作计划，以提升顾客体验和销售转化率。
在一些实施例中，所述方法还包括：
基于每个目标人物对于多个车型的停留时长信息，确定所述每个目标人物的关注车型。
如此，确定单个目标人物的关注车型，在目标人物下次到访时，便于销售对目标人物进行针对性服务，从而提高目标人物体验和销售转换率。
本实施例所述技术方案，基于预设时间范围内到访的多个目标人物的采集图像，确定多个车型对应的总停留时长；基于所述多个车型对应的总停留时长，确定所述多个车型的热度排序结果；向终端发送所述多个车型的热度排序结果；如此，基于目标人物在车型区域停留时长确定车型的热度排行，有利于工作人员根据车型的热度进行针对性工作和服务，从而提高顾客体验和销售转换率。
本申请实施例提供了一种数据处理方法，应用于终端，所述终端可以为用户设备(User Equipment，UE)、移动设备、用户终端、蜂窝电话、无绳电话、个人数字处理机(Personal Digital Assistant，PDA)、手持设备、计算设备、车载设备、可穿戴设备等。所述终端用于查询和接收多个车型的热度排序结果。如图2所示，所述方法包括：
步骤S201、接收服务器发送的多个车型的热度排序结果。
其中，所述车型的热度是由所述服务器基于预设时间范围内多个车型对应的总停留时长得到的。
步骤S202、显示所述多个车型的热度排序结果。
在一些实施例中，所述方法还包括：
接收第一查询条件，所述第一查询条件至少包括所述预设时间范围；
向所述服务器发送所述第一查询条件。
在服务器接收到终端发送的第一查询条件后，响应于所述第一查询条件，基于预设时间范围内到访的多个目标人物的采集图像，确定多个车型对应的总停留时长。
如此，能够为终端提供与查询条件相适应的车型热度排行，有利于工作人员根据车型的热度进行针对性工作和服务，从而提高顾客体验和销售转换率。
在一种可能的实现方式中，所述方法还包括：
接收第二查询条件，所述第二查询条件至少包括目标人物的标识；
将所述第二查询条件发送至所述服务器，以由所述服务器按照所述第二查询条件确定所述第一目标人物的关注车型。
示例性地，所述标识为身份证号、手机号、微信号等。
示例性地，所述标识还可以是包含目标人物人脸或人体特征的图像。
进一步地，所述方法还包括：
接收所述服务器发送的目标人物的关注车型；
显示所述目标人物的关注车型。
如此，终端能够查询单个目标人物的关注车型，便于销售根据目标人物的关注车型对目标人物进行针对性服务，提高目标人物体验和销售转换率。
图3示出了一种车型热度展示界面，如图3所示，在展示界面上展示有门店车型热度排行，在展示界面上还展示有实时客流人数、新老目标人物比例、年龄分布、性别分布等。
其中，同一车型的停留时长的计算方式包括：
计算所有目标人物在预设时间段内在各个车型区域的驻留时长，同一车型区域驻留时长进行累加。
为了保证数据的实时性，采取数据流处理的实现方式，每天的每一个车型都有一个单独的停留时间累加器，一天结束时将该累加器落盘。
实际应用中，终端上接收时间范围为历史某一天D1的查询条件，服务器基于该查询条件从数据库中筛选出D1上每个车型的停留时长，排序后得到车型热度排行；
实际应用中，终端上接收时间范围为当天D-Current的查询条件，服务器基于该查询条件从累加器中筛选出D-Current上每个车型的停留时长，排序后得到车型热度排行；
实际应用中，终端上接收时间范围为D1～D2时间段的查询条件，服务器基于该查询条件从数据库或累加器中筛选出D1～D2每一天每个车型的停留时长，将其按车型分组累加得到每个车型的总停留时长，排序后得到车型热度排行。
通过展示界面，可供4S店销售和门店探知到门店目标人物对各个车型的关注度热度，结合门店车型推广需要和营销策略，对4S店内车型的摆放及营销活动效果反馈提供数据支撑；尤其对区域公司、经销商和主机厂来说，可以足不出户远程获知到各个门店目标人物群体对各个车型的关注度强弱，以支撑运营决策和对销售/门店的工作效果评价。
应理解，图3所示的展示界面为一种可选的具体实现方式，但不限于此。
还应理解，图3示的展示界面仅仅是为了示例本申请实施例，本领域技术人员可以基于图3的例子进行各种显而易见的变化和/或替换，得到的技术方案仍属于本申请实施例的公开范围。
对应上述数据处理方法，本申请实施例提供了一种数据处理装置，如图4所示，所述装置包括：
第一确定模块10，被配置为基于预设时间范围内到访的多个目标人物的采集图像，确定多个车型对应的总停留时长；
第二确定模块20，被配置为基于所述多个车型对应的总停留时长，确定所述多个车型的热度排序结果；
发送处理模块30，被配置为向终端发送所述多个车型的热度排序结果。
在一种可能的实现方式中，所述装置还包括：
第三确定模块40，被配置为基于每个目标人物对于多个车型的停留时长信息，确定所述每个目标人物的关注车型。
在一些实施例中，所述第二确定模块20，被配置为：
基于所述多个采集图像中出现目标人物的位置信息和所述多个车型对应的预设车型区域的位置信息，确定所述目标人物所在的车型区域；
根据所述采集图像的采集时间和所述目标人物所在的车型区域，确定所述多个采集图像中所出现的目标人物对于多个车型的停留时长。
在一些实施例中，所述第二确定模块20，被配置为：
响应于所述目标人物的相邻出现所对应的所在车型区域相同且所述相邻出现所对应的时间差小于或等于预设时间阈值，将所述相邻出现所对应的时间差计入所述目标人物在所述所属车型区域的停留时长。
在一些实施例中，所述第二确定模块20，被配置为：
响应于所述目标人物的相邻出现所对应的所在车型区域相同且所述相邻出现所对应的时间差大于预设时间阈值，确定不将所述相邻出现所对应的时间差计入所述目标人物在所述所属车型区域的停留时长。
在一些实施例中，所述第二确定模块20，包括：
配置单元，被配置为：为所述多个车型对应的多个车型区域中每个车型区域配置独立的累加器；
控制单元，被配置为：以设定时间段为单位，通过所述累加器对所述车型区域出现的目标人物的停留时长进行累加，得到所述设定时间段内所述车型区域的累计停留时长；
确定单元，被配置为将所述设定时间范围内的至少一个所述设定时间段的所述车型区域的累计停留时长进行累加，得到所述车型区域的总停留时长。
进一步地，所述控制单元还被配置为：
响应于所述设定时间段超时，对所述累加器进行重置。
在一些实施例中，所述装置还包括：
接收处理模块50，被配置为接收所述终端发送的第一查询条件，所述第一查询条件至少包括所述预设时间范围；
所述第二确定模块20，还被配置为：
响应于所述第一查询条件，基于预设时间范围内到访的多个目标人物的采集图像，确定多个车型对应的总停留时长。
本领域技术人员应当理解，图4中所示的数据处理装置中的各处理模块的实现功能可参照前述数据处理方法的相关描述而理解。本领域技术人员应当理解，图4所示的数据处理装置中各处理单元的功能可通过运行于处理器上的程序而实现，也可通过具体的逻辑电路而实现。
实际应用中，上述的第一确定模块10、第二确定模块20、发送处理模块30、第三确定模块40和接收处理模块50的具体结构均可对应于处理器。所述处理器具体的结构可以为中央处理器(CPU，Central Processing Unit)、微处理器(MCU，Micro Controller Unit)、数字信号处理器(DSP，Digital Signal Processing)或可编程逻辑器件(PLC，Programmable Logic Controller)等具有处理功能的电子元器件或电子元器件的集合。其中，所述处理器包括可执行代码，所述可执行代码存储在存储介质中，所述处理器可以通过总线等通信接口与所述存储介质中相连，在执行具体的各单元的对应功能时，从所述存储介质中读取并运行所述可执行代码。所述存储介质用于存储所述可执行代码的部分优选为非瞬间存储介质。
本申请实施例提供的数据处理装置，能基于目标人物对车型的总停留时长确定各个车型的热度，有利于工作人员根据车型的热度进行针对性工作和服务，从而提高顾客体验和销售转换率。
本申请实施例还记载了一种数据处理装置，所述装置包括：存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，所述处理器执行所述程序时实现前述任意一个技术方案提供的数据处理方法。
作为一种实施方式，所述处理器执行所述程序时实现：
基于预设时间范围内到访的多个目标人物的采集图像，确定多个车型对应的总停留时长；
基于所述多个车型对应的总停留时长，确定所述多个车型的热度排序结果；
向终端发送所述多个车型的热度排序结果。
作为一种实施方式，所述处理器执行所述程序时实现：
基于每个目标人物对于多个车型的停留时长信息，确定所述每个目标人物的关注车型。
作为一种实施方式，所述处理器执行所述程序时实现：
基于所述多个采集图像中出现目标人物的位置信息和所述多个车型对应的预设车型区域的位置信息，确定所述目标人物所在的车型区域；
根据所述采集图像的采集时间和所述目标人物所在的车型区域，确定所述多个采集图像中所出现的目标人物对于多个车型的停留时长。
作为一种实施方式，所述处理器执行所述程序时实现：
响应于所述目标人物的相邻出现所对应的所在车型区域相同且所述相邻出现所对应的时间差小于或等于预设时间阈值，将所述相邻出现所对应的时间差计入所述目标人物在所述对应的车型区域的停留时长。
作为一种实施方式，所述处理器执行所述程序时实现：
响应于所述目标人物的相邻出现所对应的时间差大于预设时间阈值，确定不将所述相邻出现所对应的时间差计入所述目标人物在所述对应的车型区域的停留时长。
作为一种实施方式，所述处理器执行所述程序时实现：
为所述多个车型对应的多个车型区域中每个车型区域配置独立的累加器；
以设定时间段为单位，通过所述累加器对所述车型区域出现的目标人物的停留时长进行累加，得到所述设定时间段内所述车型区域的累计停留时长；
将所述设定时间范围内的至少一个所述设定时间段的所述车型区域的累计停留时长进行累加，得到所述车型区域的总停留时长。
作为一种实施方式，所述处理器执行所述程序时实现：
响应于所述设定时间段超时，对所述累加器进行重置。
作为一种实施方式，所述处理器执行所述程序时实现：
接收所述终端发送的第一查询条件，所述第一查询条件至少包括所述预设时间范围；
响应于所述第一查询条件，基于预设时间范围内到访的多个目标人物的采集图像，确定多个车型对应的总停留时长。
本申请实施例提供的数据处理装置，能基于目标人物在车型区域停留时长确定各个车型的热度，有利于工作人员根据车型的热度进行针对性工作和服务，从而提高顾客体验和销售转换率。
对应上述数据处理方法，本申请实施例提供了一种数据处理装置，如图5所示，所述装置包括：
通信模块60，被配置为接收服务器发送的多个车型的热度排序结果；
显示处理模块70，被配置为显示所述多个车型的热度排序结果；
其中，所述车型的热度是由所述服务器基于预设时间范围内多个车型对应的总停留时长得到的。
在一些实施例中，所述装置还包括：
输入模块80，被配置为接收第一查询条件，所述第一查询条件至少包括所述预设时间范围；
所述通信模块60，还被配置为向所述服务器发送所述第一查询条件。
本领域技术人员应当理解，图5中所示的数据处理装置中的各处理模块的实现功能可参照前述数据处理方法的相关描述而理解。本领域技术人员应当理解，图5所示的数据处理装置中各处理单元的功能可通过运行于处理器上的程序而实现，也可通过具体的逻辑电路而实现。
实际应用中，上述的通信模块60、显示处理模块70和输入模块80的具体结构均可对应于处理器。所述处理器具体的结构可以为CPU、MCU、DSP或PLC等具有处理功能的电子元器件或电子元器件的集合。其中，所述处理器包括可执行代码，所述可执行代码存储在存储介质中，所述处理器可以通过总线等通信接口与所述存储介质中相连，在执行具体的各单元的对应功能时，从所述存储介质中读取并运行所述可执行代码。所述存储介质用于存储所述可执行代码的部分优选为非瞬间存储介质。
本申请实施例提供的数据处理装置，能够为终端提供与查询条件相适应的车型热度排行，有利于工作人员根据车型的热度进行针对性工作和服务，从而提高顾客体验和销售转换率。
本申请实施例还记载了一种数据处理装置，所述装置包括：存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，所述处理器执行所述程序时实现前述任意一个技术方案提供的数据处理方法。
作为一种实施方式，所述处理器执行所述程序时实现：
接收服务器发送的多个车型的热度排序结果；
显示所述多个车型的热度排序结果；
其中，所述车型的热度是由所述服务器基于预设时间范围内多个车型对应的总停留时长得到的。
作为一种实施方式，所述处理器执行所述程序时实现：
接收第一查询条件，所述第一查询条件至少包括所述预设时间范围；
向所述服务器发送所述第一查询条件。
本领域技术人员应当理解，图5中所示的数据处理装置中的各处理模块的实现功能可参照前述数据处理方法的相关描述而理解。本领域技术人员应当理解，图5所示的数据处理装置中各处理单元的功能可通过运行于处理器上的程序而实现，也可通过具体的逻辑电路而实现。
本申请实施例提供的数据处理装置，能够为终端提供与查询条件相适应的车型热度排行，有利于工作人员根据车型的热度进行针对性工作和服务，从而提高顾客体验和销售转换率。
本申请实施例还记载了一种计算机存储介质，所述计算机存储介质中存储有计算机可执行指令，所述计算机可执行指令用于执行前述各个实施例所述的应用于服务器的数据处理方法。也就是说，所述计算机可执行指令被处理器执行之后，能够实现前述任意一个技术方案提供的应用于服务器的数据处理方法。
本领域技术人员应当理解，本实施例的计算机存储介质中各程序的功能，可参照前述各实施例所述的应用于服务器的数据处理方法的相关描述而理解。
本申请实施例还记载了一种计算机存储介质，所述计算机存储介质中存储有计算机可执行指令，所述计算机可执行指令用于执行前述各个实施例所述的用用与终端的数据处理方法。也就是说，所述计算机可执行指令被处理器执行之后，能够实现前述任意一个技术方案提供的应用于终端的数据处理方法。
本领域技术人员应当理解，本实施例的计算机存储介质中各程序的功能，可参照前述各实施例所述的应用于终端的数据处理方法的相关描述而理解。该计算机存储介质可以是易失性计算机可读存储介质或非易失性计算机可读存储介质。
本公开实施例还提供了一种计算机程序产品，包括计算机可读代码，当计算机可读代码在设备上运行时，设备中的处理器执行用于实现如上任一实施例提供的数据处理方法。
该上述计算机程序产品可以具体通过硬件、软件或其结合的方式实现。在一个可选实施例中，所述计算机程序产品具体体现为计算机存储介质，在另一个可选实施例中，计算机程序产品具体体现为软件产品，例如软件开发包(Software Development Kit，SDK)等等。
本领域技术人员应当理解，本实施例的计算机存储介质中各程序的功能，可参照前述各实施例所述的数据处理方法的相关描述而理解。
图6是本发明另一实施例的数据处理装置的结构示意图，数据处理装置600可以是移动电话、计算机、数字广播终端、信息收发设备、游戏控制台、平板设备、医疗设备、健身设备、个人数字助理等。图6所示的数据处理装置600包括：至少一个处理器601、存储器602、至少一个网络接口604和用户接口603。数据处理装置600中的各个组件通过总线系统605耦合在一起。可理解，总线系统605用于实现这些组件之间的连接通信。总线系统605除包括数据总线之外，还包括电源总线、控制总线和状态信号总线。但是为了清楚说明起见，在图6中将各种总线都标为总线系统605。
其中，用户接口603可以包括显示器、键盘、鼠标、轨迹球、点击轮、按键、按钮、触感板或者触摸屏等。
可以理解，存储器602可以是易失性存储器或非易失性存储器，也可包括易失性和非易失性存储器两者。其中，非易失性存储器可以是只读存储器(ROM，Read Only Memory)、可编程只读存储器(PROM，Programmable Read-Only Memory)、可擦除可编程只读存储器(EPROM，Erasable Programmable Read-Only Memory)、电可擦除可编程只读存储器(EEPROM，Electrically Erasable Programmable Read-Only Memory)、磁性随机存取存储器(FRAM，ferromagnetic random access memory)、快闪存储器(Flash Memory)、磁表面存储器、光盘、或只读光盘(CD-ROM，Compact Disc Read-Only Memory)；磁表面存储器可以是磁盘存储器或磁带存储器。易失性存储器可以是随机存取存储器(RAM，Random Access Memory)，其用作外部高速缓存。通过示例性但不是限制性说明，许多形式的RAM可用，例如静态随机存取存储器(SRAM，Static Random Access Memory)、同步静态随机存取存储器(SSRAM，Synchronous Static Random Access Memory)、动态随机存取存储器(DRAM，Dynamic Random Access Memory)、同步动态随机存取存储器(SDRAM，Synchronous Dynamic Random Access Memory)、双倍数据速率同步动态随机存取存储器(DDRSDRAM，Double Data Rate Synchronous Dynamic Random Access Memory)、增强型同步动态随机存取存储器(ESDRAM，Enhanced Synchronous Dynamic Random Access Memory)、同步连接动态随机存取存储器(SLDRAM，Sync Link Dynamic Random Access Memory)、直接内存总线随机存取存储器(DRRAM，Direct Rambus Random Access Memory)。本发明实施例描述的存储器602旨在包括但不限于这些和任意其它适合类型的存储器。
本发明实施例中的存储器602用于存储各种类型的数据以支持数据处理装置600的操作。这些 数据的示例包括：用于在数据处理装置600上操作的任何计算机程序，如操作系统6021和应用程序7022；联系人数据；电话簿数据；消息；图片；视频等。其中，操作系统6021包含各种系统程序，例如框架层、核心库层、驱动层等，用于实现各种基础业务以及处理基于硬件的任务。应用程序6022可以包含各种应用程序，例如媒体播放器(Media Player)、浏览器(Browser)等，用于实现各种应用业务。实现本发明实施例方法的程序可以包含在应用程序6022中。
上述本发明实施例揭示的方法可以应用于处理器601中，或者由处理器601实现。处理器601可能是一种集成电路芯片，具有信号的处理能力。在实现过程中，上述方法的各步骤可以通过处理器601中的硬件的集成逻辑电路或者软件形式的指令完成。上述的处理器601可以是通用处理器、数字信号处理器(DSP，Digital Signal Processor)，或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件等。处理器601可以实现或者执行本发明实施例中的公开的各方法、步骤及逻辑框图。通用处理器可以是微处理器或者任何常规的处理器等。结合本发明实施例所公开的方法的步骤，可以直接体现为硬件译码处理器执行完成，或者用译码处理器中的硬件及软件模块组合执行完成。软件模块可以位于存储介质中，该存储介质位于存储器602，处理器601读取存储器602中的信息，结合其硬件完成前述方法的步骤。
在示例性实施例中，数据处理装置600可以被一个或多个应用专用集成电路(ASIC，Application Specific Integrated Circuit)、DSP、可编程逻辑器件(PLD，Programmable Logic Device)、复杂可编程逻辑器件(CPLD，Complex Programmable Logic Device)、现场可编程门阵列(FPGA，Field-Programmable Gate Array)、通用处理器、控制器、微控制器(MCU，Micro Controller Unit)、微处理器(Microprocessor)、或其他电子元件实现，用于执行前述方法。
在本申请所提供的几个实施例中，应该理解到，所揭露的设备和方法，可以通过其它的方式实现。以上所描述的设备实施例仅仅是示意性的，例如，所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，如：多个单元或组件可以结合，或可以集成到另一个系统，或一些特征可以忽略，或不执行。另外，所显示或讨论的各组成部分相互之间的耦合、或直接耦合、或通信连接可以是通过一些接口，设备或单元的间接耦合或通信连接，可以是电性的、机械的或其它形式的。
上述作为分离部件说明的单元可以是、或也可以不是物理上分开的，作为单元显示的部件可以是、或也可以不是物理单元；既可以位于一个地方，也可以分布到多个网络单元上；可以根据实际的需要选择其中的部分或全部单元来实现本实施例方案的目的。
另外，在本申请各实施例中的各功能单元可以全部集成在一个处理单元中，也可以是各单元分别单独作为一个单元，也可以两个或两个以上单元集成在一个单元中；上述集成的单元既可以采用硬件的形式实现，也可以采用硬件加软件功能单元的形式实现。
本领域普通技术人员可以理解：实现上述方法实施例的全部或部分步骤可以通过程序指令相关的硬件来完成，前述的程序可以存储于计算机可读取存储介质中，该程序在执行时，执行包括上述方法实施例的步骤；而前述的存储介质包括：移动存储设备、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、磁碟或者光盘等各种可以存储程序代码的介质。
或者，本申请上述集成的单元如果以软件功能模块的形式实现并作为独立的产品销售或使用时，也可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请实施例的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机、服务器、或者网络设备等)执行本申请各个实施例所述方法的全部或部分。而前述的存储介质包括：移动存储设备、ROM、RAM、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述，仅为本申请的具体实施方式，但本申请的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本申请揭露的技术范围内，可轻易想到变化或替换，都应涵盖在本申请的保护范围之内。因此，本申请的保护范围应以所述权利要求的保护范围为准。
工业实用性
本申请实施例提供的技术方案，基于预设时间范围内到访的多个目标人物的采集图像，确定多个车型对应的总停留时长；基于所述多个车型对应的总停留时长，确定所述多个车型的热度排序结果；向终端发送所述多个车型的热度排序结果；如此，基于目标人物在车型区域停留时长确定车型的热度排行，有利于工作人员根据车型的热度进行针对性工作和服务，从而提高顾客体验和销售转 换率。

Claims (23)

  1. 一种数据处理方法，应用于服务器，所述方法包括：
    基于预设时间范围内到访的多个目标人物的采集图像，确定多个车型对应的总停留时长；
    基于所述多个车型对应的总停留时长，确定所述多个车型的热度排序结果；
    向终端发送所述多个车型的热度排序结果。
  2. 根据权利要求1所述的方法，其中，所述方法还包括：
    基于每个目标人物对于多个车型的停留时长信息，确定所述每个目标人物的关注车型。
  3. 根据权利要求1或2所述的方法，其中，所述确定多个车型对应的总停留时长，包括：
    基于所述多个采集图像中出现目标人物的位置信息和所述多个车型对应的预设车型区域的位置信息，确定所述目标人物所在的车型区域；
    根据所述采集图像的采集时间和所述目标人物所在的车型区域，确定所述多个采集图像中所出现的目标人物对于多个车型的停留时长。
  4. 根据权利要求1或2所述的方法，其中，所述确定多个车型对应的总停留时长，包括：
    响应于所述目标人物的相邻出现所对应的车型区域相同且所述相邻出现所对应的时间差小于或等于预设时间阈值，将所述相邻出现所对应的时间差计入所述目标人物在所述对应的车型区域的停留时长。
  5. 根据权利要求1或2所述的方法，其中，所述确定多个车型对应的总停留时长，包括：
    响应于所述目标人物的相邻出现所对应的时间差大于预设时间阈值，确定不将所述相邻出现所对应的时间差计入所述目标人物在所述对应的车型区域的停留时长。
  6. 根据权利要求1或2所述的方法，其中，所述基于预设时间范围内到访的多个目标人物的采集图像，确定多个车型对应的总停留时长，包括：
    为所述多个车型对应的多个车型区域中每个车型区域配置独立的累加器；
    以设定时间段为单位，通过所述累加器对所述车型区域出现的目标人物的停留时长进行累加，得到所述设定时间段内所述车型区域的累计停留时长；
    将所述设定时间范围内的至少一个所述设定时间段的所述车型区域的累计停留时长进行累加，得到所述车型区域的总停留时长。
  7. 根据权利要求6所述的方法，其中，所述方法还包括：
    响应于所述设定时间段超时，对所述累加器进行重置。
  8. 根据权利要求1至7任一项所述的方法，其中，所述方法还包括：
    接收所述终端发送的第一查询条件，所述第一查询条件至少包括所述预设时间范围；
    所述基于预设时间范围内到访的多个目标人物的采集图像，确定多个车型对应的总停留时长，包括：
    响应于所述第一查询条件，基于预设时间范围内到访的多个目标人物的采集图像，确定多个车型对应的总停留时长。
  9. 一种数据处理方法，应用于终端，所述方法包括：
    接收服务器发送的多个车型的热度排序结果；
    显示所述多个车型的热度排序结果；
    其中，所述车型的热度是由所述服务器基于预设时间范围内多个车型对应的总停留时长得到的。
  10. 根据权利要求9所述的方法，其中，所述方法还包括：
    接收第一查询条件，所述第一查询条件至少包括所述预设时间范围；
    向所述服务器发送所述第一查询条件。
  11. 一种数据处理装置，所述装置包括：
    第一确定模块，被配置为基于预设时间范围内到访的多个目标人物的采集图像，确定多个车型对应的总停留时长；
    第二确定模块，被配置为基于所述多个车型对应的总停留时长，确定所述多个车型的热度排序结果；
    发送处理模块，被配置为向终端发送所述多个车型的热度排序结果。
  12. 根据权利要求11所述的装置，其中，所述装置还包括：
    第三确定模块，被配置为基于每个目标人物对于多个车型的停留时长信息，确定所述每个目标人物的关注车型。
  13. 根据权利要求11或12所述的装置，其中，所述第二确定模块，被配置为：
    基于所述多个采集图像中出现目标人物的位置信息和所述多个车型对应的预设车型区域的位置信息，确定所述目标人物所在的车型区域；
    根据所述采集图像的采集时间和所述目标人物所在的车型区域，确定所述多个采集图像中所出现的目标人物对于多个车型的停留时长。
  14. 根据权利要求11或12所述的装置，其中，所述第二确定模块，被配置为：
    响应于所述目标人物的相邻出现所对应的车型区域相同且所述相邻出现所对应的时间差小于或等于预设时间阈值，将所述相邻出现所对应的时间差计入所述目标人物在所述对应的车型区域的停留时长。
  15. 根据权利要求11或12所述的装置，其中，所述第二确定模块，被配置为：
    响应于所述目标人物的相邻出现所对应的时间差大于预设时间阈值，确定不将所述相邻出现所对应的时间差计入所述目标人物在所述对应的车型区域的停留时长。
  16. 根据权利要求11或12所述的装置，其中，所述第二确定模块，包括：
    配置单元，被配置为：为所述多个车型对应的多个车型区域中每个车型区域配置独立的累加器；
    控制单元，被配置为：以设定时间段为单位，通过所述累加器对所述车型区域出现的目标人物的停留时长进行累加，得到所述设定时间段内所述车型区域的累计停留时长；
    确定单元，被配置为将所述设定时间范围内的至少一个所述设定时间段的所述车型区域的累计停留时长进行累加，得到所述车型区域的总停留时长。
  17. 根据权利要求16所述的装置，其中，所述控制单元还被配置为：
    响应于所述设定时间段超时，对所述累加器进行重置。
  18. 根据权利要求11至17任一项所述的装置，其中，所述装置还包括：
    接收处理模块，被配置为接收所述终端发送的第一查询条件，所述第一查询条件至少包括所述预设时间范围；
    所述第二确定模块，还被配置为：
    响应于所述第一查询条件，基于预设时间范围内到访的多个目标人物的采集图像，确定多个车型对应的总停留时长。
  19. 一种数据处理装置，应用于终端，所述装置包括：
    通信模块，被配置为接收服务器发送的多个车型的热度排序结果；
    显示处理模块，被配置为显示所述多个车型的热度排序结果；
    其中，所述车型的热度是由所述服务器基于预设时间范围内多个车型对应的总停留时长得到的。
  20. 根据权利要求19所述的装置，其中，所述装置还包括：
    输入模块，被配置为接收第一查询条件，所述第一查询条件至少包括所述预设时间范围；
    所述通信模块，还被配置为向所述服务器发送所述第一查询条件。
  21. 一种数据处理装置，所述装置包括：存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，其中，所述处理器执行所述程序时实现权利要求1至8任一项或9至10任一项所述的数据处理方法。
  22. 一种存储介质，所述存储介质存储有计算机程序，所述计算机程序被处理器执行时，使得所述处理器执行权利要求1至8任一项或9至10任一项所述的数据处理方法。
  23. 一种计算机程序，所述计算机程序包括计算机可读代码，当所述计算机可读代码在电子设备中运行时，所述电子设备中的处理器执行用于实现权利要求1至8任一项或9至10任一项所述的数据处理方法。
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