WO2021016965A1 - 一种广告投放的方法、装置及广告机器人 - Google Patents
一种广告投放的方法、装置及广告机器人 Download PDFInfo
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- WO2021016965A1 WO2021016965A1 PCT/CN2019/098741 CN2019098741W WO2021016965A1 WO 2021016965 A1 WO2021016965 A1 WO 2021016965A1 CN 2019098741 W CN2019098741 W CN 2019098741W WO 2021016965 A1 WO2021016965 A1 WO 2021016965A1
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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
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0261—Targeted advertisements based on user location
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J11/00—Manipulators not otherwise provided for
Definitions
- the embodiments of the present application relate to the field of electronic information technology, and in particular to a method, device and advertising robot for advertising.
- the set advertisements are mainly scrolled through display devices.
- the inventor found that the set advertisement cannot meet the needs of different passengers by scrolling, and cannot be accurately delivered, resulting in poor advertising effect.
- the embodiments of the present application aim to provide a method, a device and an advertising robot for advertisement placement, which can realize accurate placement.
- a technical solution adopted in the embodiment of the present application is to provide an advertisement placement method, including:
- the advertisement extracted from the delivery includes:
- the advertisements associated with the target sites are placed in sequence.
- the method further includes:
- the identifying and viewing passengers includes:
- the duration for the passenger to face the advertising robot is greater than the preset duration, it is determined that the passenger is the viewing passenger.
- the determining whether the passenger is facing the advertising robot includes:
- the identifying whether the passenger bows his head includes:
- the method further includes:
- an advertisement placement device including:
- An identification module which is used to identify the waiting area where the advertising robot is located
- An obtaining module which is used to obtain the nearest departure schedule corresponding to the waiting area
- An extraction module which is used to extract an advertisement associated with the target site from a preset advertisement database
- the placing module is used for placing the extracted advertisement.
- the delivery module is specifically used for:
- the advertisements associated with the target sites are placed in sequence.
- the identification module is further used for:
- the identification module is specifically configured to:
- the duration for the passenger to face the advertising robot is greater than the preset duration, it is determined that the passenger is the viewing passenger.
- the identification module is specifically configured to:
- the identification module is specifically configured to:
- the device further includes:
- a determining module which is used to determine whether the departure time of the departure schedule is currently reached during the process of delivering the extracted advertisement
- an advertising robot including:
- At least one processor and
- the device can be used to implement the above-mentioned method of advertising placement.
- another technical solution adopted in the embodiments of the present application is to provide a non-volatile computer-readable storage medium that stores computer-executable instructions, so The computer-executable instructions are used to make the advertising robot execute the above-mentioned method of advertising placement.
- the embodiments of this application provide a method, device and advertising robot for advertising.
- the waiting area where the advertising robot is located is identified After that, obtain the nearest departure schedule corresponding to the waiting area, and obtain the target site passed by the departure schedule, and then extract the advertisements associated with the target site from the preset advertisement database for placement.
- the advertisements placed are based on passengers
- the target site through which the waiting departure schedule passes is determined in real time, so as to place different advertisements on passengers waiting for different departure schedules to achieve accurate delivery.
- FIG. 1 is a schematic structural diagram of an implementation environment of an advertisement placement method provided by an embodiment of the present application
- FIG. 2 is a schematic diagram of the structure of the advertising robot in the implementation environment shown in FIG. 1;
- FIG. 3 is a schematic flowchart of an advertisement placement method provided by an embodiment of the present application.
- FIG. 4 is a schematic structural diagram of an advertisement placement device provided by an embodiment of the present application.
- FIG. 5 is a schematic structural diagram of an advertisement placement device provided by another embodiment of the present application.
- Fig. 6 is a schematic diagram of the hardware structure of an advertising robot provided by an embodiment of the present application.
- the present application provides a method and device for advertisement placement, which are applied to an advertisement robot, so that the advertisement robot can determine in real time the associated advertisement to be placed according to the target site passed by the passenger waiting for the departure schedule. Passengers waiting for different departure schedules place different advertisements to achieve precise delivery.
- FIG. 1 is an implementation environment of an advertisement placement method provided by an embodiment of the present application.
- the implementation environment includes a waiting hall 100 and an advertising robot 200.
- the advertising robot 200 can move in the waiting hall 100 for mobile advertising. Put.
- the waiting hall 100 includes a number of ticket gates 110 and a waiting area 120 corresponding to the ticket gates 110 one-to-one, and each ticket gate 110 corresponds to a waiting area 120.
- the ticket gate 110 is used to check tickets for the departure trains arriving at the departure time. Wherein, each ticket gate 110 has different departure schedules for checking tickets, and the same ticket gate 110 can only check departure schedules with different departure times. Therefore, the departure schedule can be determined according to the ticket gate 110.
- the waiting area 120 is used to provide a rest area for passengers waiting to check in.
- the passenger can wait for the ticket check in the waiting area corresponding to the ticket gate of the waiting departure flight.
- the passenger can wait for the ticket in the waiting area A corresponding to the ticket gate A.
- the waiting area 120 includes a plurality of waiting seats 121, the plurality of waiting seats 121 are arranged in a plurality of rows, and a waiting area passage 122 is formed between two adjacent rows of waiting seats. It is understandable that, in some other embodiments, several waiting seats 121 can also be arranged in several rows, and the waiting area passage 122 is between two adjacent rows of waiting seats.
- Passengers can rest on the waiting seat 121 to wait for the ticket check.
- the waiting area passage 122 is used to provide a passage for the advertising robot 200. Based on this, the advertising robot 200 moves in the waiting hall 100, that is, the advertising robot 200 moves on the waiting area passage 122 so that the advertising robot 200 can approach the waiting area. Passenger on seat 121.
- the advertising robot 200 is used to deliver advertisements.
- the advertising robot 200 includes: a mobile module 210, a display module 220, a positioning module 230, a camera module 240, and a control module 250.
- the control module 250 is respectively associated with the mobile module 210 and the display module 220, the positioning module 230, and the camera module 240 are in communication connection.
- the mobile module 210 includes pulleys for driving the advertising robot 200 to move.
- the control module 250 controls the movement of the advertising robot 200 by controlling the mobile module 210.
- control module 250 controls the moving direction of the advertising robot 200 by controlling the direction of the pulley; the control module 250 controls the moving speed of the advertising robot 200 by controlling the rotation speed of the pulley.
- the display module 220 includes a display screen for displaying advertisements delivered by the advertising robot 200.
- the control module 250 can send the extracted advertisement to the display module 220 for display, so as to realize the placement of the advertisement.
- the positioning module 230 includes a GPS chip for positioning the current position of the advertising robot 200.
- the control module 250 can obtain the current position of the advertising robot 200 from the positioning module 230.
- the camera module 240 includes a camera lens for shooting environmental images around the advertising robot 200.
- the control module 250 can obtain environmental images from the camera module 240, and can recognize the waiting area 120 where the advertising robot 200 is located and extract passengers according to the obtained environmental images. Facial features, etc.
- the control module 250 includes a controller, which may be a general-purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or a single-chip microcomputer.
- DSP digital signal processor
- ASIC application specific integrated circuit
- FPGA field programmable gate array
- the control module 250 can communicate with the departure system when the advertising robot 200 is located in the waiting hall 100 to obtain the departure schedule of the waiting hall 100.
- the departure timetable includes a number of departure information, which includes but is not limited to: departure schedule, departure time, ticket gate information, and ticket checking status.
- the control module 250 can also plan the walking route of the advertising robot 200 in the waiting hall 100 to control the advertising robot 200 to move according to the planned walking route.
- control module 250 plans the walking route of the advertising robot 200 in the waiting hall 100, firstly, it obtains the departure schedule within a preset time; secondly, it determines the ticket gates in the area where the advertising robot 200 is responsible; and again, from the departure time From the table, extract the train number information matching the ticket gates in the area of the advertising robot 200; then, sort the train number information according to the order of departure time; then, determine the walking order of the waiting area 120 according to the order of the train number information; and finally , According to the walking sequence of the waiting area 120 and the distance that the advertising robot 200 needs to move, path planning is performed to ensure that the passage 122 of the waiting area is passed through the most waiting area in the least time.
- the advertising robot 200 when the advertising robot 200 is in charge of area A, because area A includes ticket gate A and ticket gate B, the ticket gates in the area responsible for advertising robot 200 are determined to be ticket gate A and ticket gate B.
- the ticket gate Gate A and ticket gate B can extract the ticket gate information from ticket gate A to ticket gate information A and ticket gate information to ticket gate B train number information B, because the departure time of train number information A is earlier than train number information B Departure time, therefore, the order of determining the train number information is that the train number information A is earlier than the train number information B, and then it can be determined that the walking sequence of the waiting area A corresponding to the ticket gate A of the train number A is earlier than the waiting train corresponding to the ticket gate B of the train number B Area B. Based on this, when planning the walking route of the advertising robot 200, the advertising robot 200 first passes through the waiting area A and then passes through the waiting area B.
- the waiting area channel 122 is relatively congested during the ticket checking process, and passengers do not want to watch advertisements, in order to prevent the advertising robot 200 from being damaged, before sorting the train information according to the order of departure time, determine whether there is If the train number information in the ticket checking state exists, the train number information in the non-ticket checking state is sorted to prevent the advertising robot 200 from passing through the waiting area 120 where the ticket is checking.
- control module 250 can also execute an advertisement placement method to realize the advertisement placement of the advertising robot 200.
- the control module 250 controls the advertising robot 200 to move in the waiting hall 100 according to the planned walking route, and can identify the waiting area 120 where the advertising robot 200 is currently located.
- the advertisement associated with the target site can be extracted from the preset advertisement database for placement, The displayed advertisement is displayed through the display module 220. Based on this, when the waiting area 120 where the advertisement robot 200 is located is different, and the departure schedule that passengers wait for is different, the advertisement robot 200 can place different advertisements to achieve accurate delivery.
- FIG. 3 is a schematic flowchart of an advertisement placement method provided by an embodiment of the present application.
- the advertisement placement method is applied to the above-mentioned advertising robot 200 and executed by the above-mentioned control module 250 to achieve accuracy. Put.
- the advertising method includes:
- the waiting area where the advertising robot is located can be identified through the environmental images around the advertising robot; and the waiting area where the advertising robot is located can also be identified through the current position of the advertising robot.
- the waiting area where the advertising robot is located is recognized by the environmental images around the advertising robot, the environmental characteristics in the environmental image are extracted, and the environmental characteristics are matched with the preset characteristics of each waiting area in the environmental feature library, and the matching degree is the highest.
- the waiting area corresponding to the preset feature of is determined as the waiting area where the advertising robot is located.
- the environment feature database For example, suppose that the preset feature A and preset feature B of waiting area A, and the preset feature C and preset feature D of waiting area B are stored in the environment feature database. At this time, the environment features in the environment image are extracted 1 and environment feature 2, match environment feature 1 and environment feature 2 with preset feature A, preset feature B, preset feature C, and preset feature D. If environment feature 1 and environment feature 2 match preset feature C If the matching degree with the preset feature D is the highest, the waiting area B corresponding to the preset feature C and the preset feature D is determined as the waiting area where the advertising robot is located, that is, the advertising robot is currently in the waiting area B.
- the preset position range of each waiting area is obtained, and the waiting area corresponding to the preset position range into which the current position of the advertising robot falls is determined as the advertising robot is located Waiting area.
- the preset position range of waiting area A includes (0 ⁇ x ⁇ 50, 0 ⁇ y ⁇ 50), and the preset position range of waiting area B includes (50 ⁇ x ⁇ 100, 0 ⁇ y ⁇ 50)
- the waiting area A is determined as the waiting area where the advertising robot is located , That is, the advertising robot is currently in the waiting area A.
- obtaining the nearest departure schedule corresponding to the waiting area includes:
- the ticket gate A corresponding to waiting area A is determined as the target ticket gate.
- the ticket gate can be extracted from the departure timetable according to ticket gate A
- the gate information is the train number information A and train number information B of ticket gate A.
- the departure time of train number information A is 30 minutes away from the current time, and the departure time of train number information B is 60 minutes away from the current time. Therefore, it is obtained from train number information A Departure times.
- the method for advertising further includes:
- the preset number of people is a preset value, and the preset number of people is less than the total number of waiting seats in the waiting area.
- the preset number of people can be one third of the total number of waiting seats in the waiting area.
- S400 Extract the advertisement associated with the target site from the preset advertisement database.
- the target station is the station where the train stops during the travel.
- the target station is fixed, and the target station that the train passes through can be obtained according to the departure schedule.
- the advertisements associated with the target site may be related tourist attractions advertisements, related food advertisements, and related accommodation discount advertisements.
- the target stations that can be obtained include city A, city B and city C.
- Advertisements associated with city A, city B, and city C are extracted from the preset advertisement database.
- the target sites Since there are more target sites, there are more related advertisements extracted. Therefore, when placing the extracted advertisements, firstly, obtain the ticket information of the departure schedule; secondly, according to the ticket information, count the number of getting off at each target site The number of passengers; then, the target sites are sorted according to the order of the number of passengers getting off at each target site; finally, according to the order of the target sites, the advertisements associated with the target sites are placed in turn.
- the ticket sales information of the departure schedule can be obtained through the communication connection with the ticket sales system, and the ticket sales information includes the terminal station.
- the number of passengers getting off at each target station can be determined. For example, when the number of terminal stations is 50 in city A, it can be determined that the number of passengers getting off in city A is 50.
- the target sites can also be sorted according to the passenger's attention to the advertisement.
- the advertisement associated with target site A when the passenger's attention to the advertisement associated with target site A is greater than that of the advertisement associated with target site B, then the advertisement associated with target site A will be placed first, and then the advertisement associated with target site B will be placed Joint advertising.
- the passenger's attention to the advertisement can be determined by the length of time the passenger faces the advertisement. The longer the passenger faces the advertisement, the greater the attention to the advertisement.
- the number of viewing passengers is also identified. If the number of viewing passengers is greater than the preset first threshold, the optimal playback position is determined and the advertising robot is controlled Move to the best playback position.
- the viewing passengers are passengers who are located in the waiting area and watch the advertisements placed by the advertising robot.
- the preset first threshold is a preset value, and the preset first threshold is less than the total number of waiting seats in the waiting area.
- the best playing position is a position where as many passengers as possible can watch the advertisements placed by the advertisement robot.
- the passenger when recognizing and watching passengers, firstly, collect the environment image of the waiting area; secondly, extract the face image of each passenger from the environment image; then, judge whether the passenger is looking at the advertising robot through the face image of the passenger. If the passenger is facing the advertising robot, it is determined whether the duration of the passenger facing the advertising robot is greater than the preset duration, and if the duration of the passenger facing the advertising robot is greater than the preset duration, the passenger is determined to be a viewing passenger.
- the preset duration is a preset empirical value, for example, the preset duration can be set to 5 min, 10 min, or 15 min.
- Judging whether the passenger is looking at the advertising robot through the passenger’s face image includes: identifying whether the passenger has turned his head relative to the advertising robot from the passenger’s face image. If the passenger does not turn his head, then identifying whether the passenger is looking down. It is determined that the passenger is facing upright.
- identifying whether the passenger has turned his head relative to the advertising robot from the passenger's face image includes: locating the passenger's two pupils and the center line of the face from the passenger's face image; determining the pupil and the center line of the face respectively
- the first interpupillary distance and the second interpupillary distance, the ratio of the first interpupillary distance and the second interpupillary distance is used to identify whether the passenger turns his head relative to the advertising robot.
- the ratio of the first interpupillary distance to the second interpupillary distance is 1. Therefore, if the ratio of the first interpupillary distance to the second interpupillary distance is equal to 1, it is determined that the passenger does not turn his head; If the ratio of the first interpupillary distance to the second interpupillary distance is not equal to 1, it is determined that the passenger turns his head.
- identifying whether the passenger bows his head from the face image of the passenger includes: locating the two pupils, two corners of the mouth and the tip of the nose of the passenger from the face image of the passenger; respectively determining the first distance from the two pupils to the tip of the nose And the second distance; calculate the sum of the first distance and the second distance to get the upper distance; respectively determine the third and fourth distances from the corners of the mouth to the tip of the nose; calculate the sum of the third and fourth distances to get the lower distance; calculate The ratio of the upper distance to the lower distance, and the ratio of the upper distance to the lower distance is used to identify whether the passenger bows his head.
- the ratio of the upper distance to the lower distance calculated from the passenger’s face image is a preset ratio. Based on this, when the passenger lowers his head, the upper distance calculated from the passenger’s face image must be greater than The lower distance, that is, the ratio of the upper distance to the lower distance must be greater than the preset ratio. Therefore, it can be determined whether the passenger bows his head by judging whether the ratio of the upper distance to the lower distance is greater than the preset ratio.
- the ratio of the upper distance to the lower distance is greater than the preset ratio, it is determined that the passenger bows his head; if the ratio of the upper distance to the lower distance is not greater than the preset ratio, it is determined that the passenger does not bow his head.
- the preset ratio can be obtained through training of sample data, and the sample data includes the ratio of the upper distance and the lower distance when the passenger does not lower his head.
- the positions of all viewing passengers are located, and the best playback position is determined according to the positions of all viewing passengers.
- the positions of all viewing passengers it is based on the current position of the advertising robot and the environment image. Specifically, the relative position of each passenger relative to the advertising robot is determined from the environment image, and then the position of each passenger is calculated based on the relative position of each passenger and the current position of the advertising robot.
- the advertising robot in the process of placing the extracted advertisement, it is also determined whether the current time is the departure time of the departure schedule, and if so, the advertising robot is controlled to move to another waiting area to avoid congestion. Area.
- the remaining departure time of the determined departure schedule before placing the extracted advertisement, can also be broadcast. Among them, the remaining departure time can be determined according to the current time and the departure time of the departure schedule.
- the nearest departure schedule corresponding to the waiting area is obtained, and the target site passed by the departure schedule is obtained, and then the target station is extracted from the preset advertisement database. Advertisements associated with the site are placed to place different advertisements on passengers waiting for different departure schedules to achieve precise placement.
- FIG. 4 is a schematic structural diagram of an advertisement placement device provided by an embodiment of the present application.
- the advertisement placement device is applied to the aforementioned advertising robot 200, and the functions of each module of the advertisement placement device are controlled by the foregoing
- the module 250 is executed to achieve precise delivery.
- module used in the embodiments of the present application is a combination of software and/or hardware that can implement predetermined functions.
- devices described in the following embodiments can be implemented by software, implementation by hardware or a combination of software and hardware is also possible.
- the advertisement placement device includes:
- An identification module 10 which is used to identify the waiting area where the advertising robot is located;
- An obtaining module 20 which is used to obtain the nearest departure schedule corresponding to the waiting area;
- An extraction module 30, which is used to extract advertisements associated with the target site from a preset advertisement database
- the placing module 40 is used for placing the extracted advertisement.
- the placing module 40 is specifically used to:
- the advertisements associated with the target sites are placed in sequence.
- the identification module 10 is also used to:
- the identification module 10 is specifically used for:
- the passenger is determined to be a viewing passenger.
- the identification module 10 is specifically used for:
- the identification module 10 is specifically used for:
- the advertisement placement device further includes:
- a determining module 50 which is used to determine whether the departure time of the departure schedule is currently reached during the process of delivering the extracted advertisement
- the content of the device embodiment can be quoted from the method embodiment on the premise that the content does not conflict with each other, which will not be repeated here.
- the aforementioned identification module 10, acquisition module 20, extraction module 30, placement module 40, and determination module 50 may be the control chip of the advertising robot 200.
- the nearest departure schedule corresponding to the waiting area is obtained, and the target site passed by the departure schedule is obtained, and then the target station is extracted from the preset advertisement database.
- the advertisements associated with the site are placed to place different advertisements on passengers waiting for different departure schedules to achieve precise placement.
- FIG. 6 is a schematic diagram of the hardware structure of an advertising robot provided by an embodiment of the present application.
- the hardware module can be integrated in the aforementioned control module 250, including:
- the processor 251 and the memory 252 may be connected by a bus or in other ways.
- the connection by a bus is taken as an example.
- the memory 252 as a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer-executable programs and modules, such as an advertisement placement method in the above-mentioned embodiment of the present application Corresponding program instructions and modules corresponding to an advertisement placement device (for example, the identification module 10, the acquisition module 20, the extraction module 30, the placement module 40, and the determination module 50, etc.).
- the processor 251 executes various functional applications and data processing of an advertisement placement method by running non-volatile software programs, instructions, and modules stored in the memory 252, that is, implements an advertisement in the foregoing method embodiment.
- the memory 252 may include a storage program area and a storage data area.
- the storage program area may store an operating system and an application program required by at least one function; the storage data area may store data created based on the use of an advertisement placement device, etc. .
- the storage data area also stores preset data, including a preset advertisement database, preset features, preset location range, preset number of people, preset first threshold, preset duration, preset ratio, preset time, etc. .
- the memory 252 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other non-volatile solid-state storage devices.
- the memory 252 may optionally include memories remotely provided with respect to the processor 251, and these remote memories may be connected to the processor 251 through a network. Examples of the aforementioned networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.
- the program instructions and one or more modules are stored in the memory 252, and when executed by the one or more processors 251, each step of an advertisement placement method in any of the foregoing method embodiments is executed, Or, realize the functions of each module of an advertisement placement device in any of the foregoing device embodiments.
- the above-mentioned products can execute the methods provided in the above-mentioned embodiments of the present application, and have functional modules and beneficial effects corresponding to the execution methods.
- functional modules and beneficial effects corresponding to the execution methods For technical details that are not described in detail in this embodiment, please refer to the method provided in the foregoing embodiment of this application.
- the embodiment of the present application also provides a non-volatile computer-readable storage medium, the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are executed by one or more processors, for example, FIG. 6
- a processor 251 in any of the foregoing method embodiments may enable a computer to execute each step of an advertisement placement method in any of the foregoing method embodiments, or implement the functions of various modules of an advertisement placement apparatus in any of the foregoing device embodiments.
- the embodiments of the present application also provide a computer program product.
- the computer program product includes a computer program stored on a non-volatile computer-readable storage medium.
- the computer program includes program instructions.
- When the program instructions are Or multiple processors, such as a processor 251 in FIG. 6, can make a computer execute each step of an advertisement placement method in any of the foregoing method embodiments, or implement any of the foregoing device embodiments The function of each module of the advertising placement device.
- the device embodiments described above are merely illustrative.
- the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical units, that is, they may be located in One place, or it can be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.
- each embodiment can be implemented by software plus a general hardware platform, and of course, it can also be implemented by hardware.
- Those of ordinary skill in the art can understand that all or part of the processes in the methods of the foregoing embodiments can be implemented by computer programs instructing relevant hardware.
- the programs can be stored in a computer readable storage medium, and the program is executed At the time, it may include the process of the implementation method of the above-mentioned methods.
- the storage medium may be a magnetic disk, an optical disc, a read-only memory (Read-Only Memory, ROM), or a random access memory (Random Access Memory, RAM), etc.
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Abstract
Description
Claims (16)
- 一种广告投放的方法,其特征在于,包括:识别广告机器人所处于的候车区;获取与所述候车区相对应的且最近的发车班次;获取所述发车班次途经的目标站点;从预设广告数据库中,提取与所述目标站点相关联的广告;投放所提取到的广告。
- 根据权利要求1所述的方法,其特征在于,所述投放所提取到的广告,包括:获取所述发车班次的售票信息;根据所述售票信息,统计在各所述目标站点下车的乘客的数量;根据在各所述目标站点下车的乘客的数量由大到小的顺序,对所述目标站点进行排序;根据所述目标站点的顺序,依次投放与所述目标站点相关联的广告。
- 根据权利要求1或2所述的方法,其特征在于,所述方法还包括:在投放所提取到的广告的过程中,识别观看乘客的数量,其中,所述观看乘客为位于所述候车区内并观看所述广告机器人投放的广告的乘客;判断所述观看乘客的数量是否大于预设第一阈值;若是,则定位所有所述观看乘客的位置;根据所述观看乘客的位置,确定最佳播放位置;控制所述广告机器人移动至所述最佳播放位置。
- 根据权利要求3所述的方法,其特征在于,所述识别观看乘客,包括:采集所述候车区的环境图像;从所述环境图像中提取各乘客的人脸图像;从所述乘客的人脸图像中,判断所述乘客是否正视所述广告机器人;若所述乘客正视所述广告机器人,则判断所述乘客正视所述广告机器人的持续时长是否大于预设时长;若所述乘客正视所述广告机器人的持续时长大于所述预设时长,则确定所述乘客为所述观看乘客。
- 根据权利要求4所述的方法,其特征在于,所述判断所述乘客是否正视所述广告机器人,包括:从所述乘客的人脸图像中,识别所述乘客是否相对于所述广告机器人转头;若所述乘客没有转头,则识别所述乘客是否低头;若所述乘客没有低头,则确定所述乘客处于正视状态。
- 根据权利要求5所述的方法,其特征在于,所述识别所述乘客是否低头,包括:定位所述乘客的两个瞳孔、两个嘴角以及鼻尖;分别确定所述两个瞳孔到所述鼻尖的第一距离和第二距离;计算所述第一距离和所述第二距离之和,得到上距离;分别确定所述两个嘴角到所述鼻尖的第三距离和第四距离;计算所述第三距离和所述第四距离之和,得到下距离;计算所述上距离和所述下距离的比例;判断所述比例是否大于预设比例;若是,则确定所述乘客低头;若否,则确定所述乘客没有低头。
- 根据权利要求1或2所述的方法,其特征在于,所述方法还包括:在投放所提取到的广告的过程中,确定当前是否达到所述发车班次的发车时间;若是,则控制所述广告机器人移动到另一个候车区。
- 一种广告投放的装置,其特征在于,包括:识别模块,所述识别模块用于识别广告机器人所处于的候车区;获取模块,所述获取模块用于获取与所述候车区相对应的且最近的发车班次;以及用于获取所述发车班次途经的目标站点;提取模块,所述提取模块用于从预设广告数据库中,提取与所述目标站点相关联的广告;投放模块,所述投放模块用于投放所提取到的广告。
- 根据权利要求8所述的装置,其特征在于,所述投放模块具体用于:获取所述发车班次的售票信息;根据所述售票信息,统计在各所述目标站点下车的乘客的数量;根据在各所述目标站点下车的乘客的数量由大到小的顺序,对所述目标站点进行排序;根据所述目标站点的顺序,依次投放与所述目标站点相关联的广告。
- 根据权利要求8或9所述的装置,其特征在于,所述识别模块还用于:在投放所提取到的广告的过程中,识别观看乘客的数量,其中,所述观看乘客为位于所述候车区内并观看所述广告机器人投放的广告的乘客;判断所述观看乘客的数量是否大于预设第一阈值;若是,则定位所有所述观看乘客的位置;根据所述观看乘客的位置,确定最佳播放位置;控制所述广告机器人移动至所述最佳播放位置。
- 根据权利要求10所述的装置,其特征在于,所述识别模块具体用于:采集所述候车区的环境图像;从所述环境图像中提取各乘客的人脸图像;从所述乘客的人脸图像中,判断所述乘客是否正视所述广告机器 人;若所述乘客正视所述广告机器人,则判断所述乘客正视所述广告机器人的持续时长是否大于预设时长;若所述乘客正视所述广告机器人的持续时长大于所述预设时长,则确定所述乘客为所述观看乘客。
- 根据权利要求11所述的装置,其特征在于,所述识别模块具体用于:从所述乘客的人脸图像中,识别所述乘客是否相对于所述广告机器人转头;若所述乘客没有转头,则识别所述乘客是否低头;若所述乘客没有低头,则确定所述乘客处于正视状态。
- 根据权利要求12所述的装置,其特征在于,所述识别模块具体用于:定位所述乘客的两个瞳孔、两个嘴角以及鼻尖;分别确定所述两个瞳孔到所述鼻尖的第一距离和第二距离;计算所述第一距离和所述第二距离之和,得到上距离;分别确定所述两个嘴角到所述鼻尖的第三距离和第四距离;计算所述第三距离和所述第四距离之和,得到下距离;计算所述上距离和所述下距离的比例;判断所述比例是否大于预设比例;若是,则确定所述乘客低头;若否,则确定所述乘客没有低头。
- 根据权利要求8或9所述的装置,其特征在于,所述装置还包括:确定模块,所述确定模块用于在投放所提取到的广告的过程中,确定当前是否达到所述发车班次的发车时间;若是,则控制所述广告机器人移动到另一个候车区。
- 一种广告机器人,其特征在于,包括:至少一个处理器,以及与所述至少一个处理器通信连接的存储器;其中,所述存储器存储有可被所述至少一个处理器执行的指令,所述指令被所述至少一个处理器执行,以使所述至少一个处理器能够用于执行如权利要求1至7中任一项所述的一种广告投放的方法。
- 一种非易失性计算机可读存储介质,其特征在于,所述非易失性计算机可读存储介质存储有计算机可执行指令,所述计算机可执行指令用于使广告机器人执行如权利要求1至7中任一项所述的一种广告投放的方法。
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