CN110766812A - Riding payment method and device for unmanned automobile and electronic equipment - Google Patents

Riding payment method and device for unmanned automobile and electronic equipment Download PDF

Info

Publication number
CN110766812A
CN110766812A CN201911055054.7A CN201911055054A CN110766812A CN 110766812 A CN110766812 A CN 110766812A CN 201911055054 A CN201911055054 A CN 201911055054A CN 110766812 A CN110766812 A CN 110766812A
Authority
CN
China
Prior art keywords
passenger
passengers
fee
bus
image information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201911055054.7A
Other languages
Chinese (zh)
Other versions
CN110766812B (en
Inventor
卢敦陆
柳金峰
何飞勇
李广
周继彦
陈炳初
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Titan Intelligent Power Co ltd
Original Assignee
Guangdong Institute of Science and Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong Institute of Science and Technology filed Critical Guangdong Institute of Science and Technology
Priority to CN202011096396.6A priority Critical patent/CN112232797B/en
Priority to CN201911055054.7A priority patent/CN110766812B/en
Publication of CN110766812A publication Critical patent/CN110766812A/en
Application granted granted Critical
Publication of CN110766812B publication Critical patent/CN110766812B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07BTICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
    • G07B15/00Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
    • G07B15/02Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points taking into account a variable factor such as distance or time, e.g. for passenger transport, parking systems or car rental systems
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/08Payment architectures
    • G06Q20/14Payment architectures specially adapted for billing systems
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/38Payment protocols; Details thereof
    • G06Q20/40Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
    • G06Q20/401Transaction verification
    • G06Q20/4014Identity check for transactions
    • G06Q20/40145Biometric identity checks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/59Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions

Abstract

The invention relates to the technical field of unmanned automobiles, in particular to a riding payment method and device of an unmanned automobile and electronic equipment. The method comprises the following steps: after the unmanned automobile exits from the starting station, acquiring first image information of all passengers in the unmanned automobile through the plurality of cameras; identifying the identity of the passenger according to the first image information and the passenger registration information; deducting a ride fee from a registered account of the passenger based on the identified identity information of the passenger before the unmanned vehicle arrives at a next station. This embodiment can be convenient collect passenger's fare, need not the passenger and carry out any operation on the car, improved the convenience that the passenger sat the car and experienced by bus.

Description

Riding payment method and device for unmanned automobile and electronic equipment
[ technical field ] A method for producing a semiconductor device
The invention relates to the technical field of unmanned automobiles, in particular to a riding payment method and device of an unmanned automobile and electronic equipment.
[ background of the invention ]
The unmanned automobile is an intelligent automobile which senses the road environment through a vehicle-mounted sensor system, automatically plans a driving route and controls the automobile to reach a preset target. Along with the development of the unmanned bus, the unmanned technology can be applied to the bus, the use of the unmanned bus brings convenience to the life of people, and the labor cost can be reduced.
However, the current unmanned bus has many disadvantages, such as how to charge the passenger for the ride, and avoid the passenger from escaping the ticket.
[ summary of the invention ]
The invention aims to provide a riding payment method, a riding payment device and electronic equipment of an unmanned automobile, and solves the technical problem of how to collect riding payment of the unmanned automobile.
In one aspect of the embodiments of the present invention, there is provided a riding payment method for an unmanned vehicle, the unmanned vehicle being provided with a plurality of cameras, the method including:
after the unmanned automobile exits from the starting station, acquiring first image information of all passengers in the unmanned automobile through the plurality of cameras;
identifying the identity of the passenger according to the first image information and the passenger registration information;
deducting a ride fee from a registered account of the passenger according to the identified identity information of the passenger before the unmanned vehicle arrives at a next station;
after the unmanned automobile exits from the current non-starting station, second image information of all passengers in the unmanned automobile is obtained through the plurality of cameras;
determining a passenger who newly gets on the bus in the second image information according to the second image information and the passenger image information acquired by the previous station, and identifying the identity of the passenger who newly gets on the bus;
and deducting the riding fee from the registered account of the passenger according to the identified identity information of the newly-boarding passenger before the unmanned automobile arrives at the next station.
Optionally, a display screen is provided in the unmanned vehicle, and when there is an unregistered passenger among boarding passengers, the method further includes:
acquiring image information of an unregistered passenger;
judging whether the unregistered passenger pays a ride fee;
if not, judging whether the unregistered passengers comprise special passengers or not, wherein the special passengers comprise children, old people and soldiers;
if not, displaying the image information of the passengers who do not pay the bus fee on the display screen, and reminding the passengers who do not pay the bus fee to pay the bus fee in a broadcasting way, wherein the bus fee paying way of the passengers comprises code scanning payment and cash payment;
detecting whether the passengers who do not pay the bus fee again within a preset time before the unmanned automobile arrives at the station;
if not, acquiring the image of the passenger who does not pay the bus fee, and acquiring the sex, the age and the height of the passenger through image identification;
acquiring identity information of the passenger from a public security system according to the image of the passenger and the sex, age and height of the passenger, wherein the identity information comprises a contact way, a family address and an identity card number;
and sending a bus fee payment prompt message to the passenger according to the identity information, wherein the prompt message comprises bus fee, a payment mode, bus time, a boarding place and preset credit investigation prompt information.
Optionally, a cash payment device and a code scanning payment device are arranged in the unmanned vehicle, the cash payment device and the code scanning payment device are respectively provided with corresponding cameras,
the determining whether the unregistered passenger has paid a ride fee includes:
when the cash payment device or the code scanning payment device detects a successful payment instruction, controlling a camera corresponding to the cash payment device or the code scanning payment device to acquire image information of a passenger paying the fee;
matching the collected image information of the passengers with the image information of the unregistered passengers, if the passengers with the same image matching exist, determining that the unregistered passengers pay the bus fee, and if not, determining that the unregistered passengers do not pay the bus fee.
Optionally, when the ride fee is collected according to a passenger trip, the method further comprises:
pre-charging a passenger after the passenger gets on the vehicle;
recording the boarding station and the alighting station of the passenger through the plurality of cameras;
and after the passenger gets off the bus, deducting the bus fee from the pre-charging according to the getting-on station and the getting-off station, and returning the rest fee to the registered account of the passenger.
Optionally, the method further comprises:
and controlling the working states of the plurality of cameras according to the number of passengers in the unmanned automobile, wherein the working states comprise a shooting state and a dormant state.
In another aspect of the embodiments of the present invention, there is provided a riding payment apparatus for an unmanned vehicle, the unmanned vehicle being provided with a plurality of cameras, the apparatus including:
the first acquisition module is used for acquiring first image information of all passengers in the unmanned automobile through the plurality of cameras after the unmanned automobile is driven out of the starting station;
the first identification module is used for identifying the identity of the passenger according to the first image information and the passenger registration information;
the first fare deduction module is used for deducting fare from a registered account of the passenger according to the identified identity information of the passenger before the unmanned automobile arrives at the next station;
the second acquisition module is used for acquiring second image information of all passengers in the unmanned automobile through the plurality of cameras after the unmanned automobile is driven out of the current non-starting station;
the second identification module is used for determining a passenger who newly gets on the bus in the second image information according to the second image information and the passenger image information acquired by the previous station, and identifying the identity of the passenger who newly gets on the bus;
and the second fare deduction module is used for deducting the fare from the registered account of the passenger according to the identified identity information of the newly-boarding passenger before the unmanned automobile arrives at the next station.
Optionally, a display screen is provided in the unmanned vehicle, and when an unregistered passenger is present among boarding passengers, the apparatus further includes:
the third acquisition module is used for acquiring the image information of the unregistered passenger;
the first judgment module is used for judging whether the unregistered passenger pays the bus fee or not;
the second judgment module is used for judging whether special passengers are included in the unregistered passengers or not if the unregistered passengers do not include special passengers, wherein the special passengers include children, old people and soldiers;
the first reminding module is used for displaying the image information of the passengers who do not pay the bus fee on the display screen if the image information does not include the image information of the passengers who do not pay the bus fee, and reminding the passengers who do not pay the bus fee to pay the bus fee in a broadcasting mode, wherein the bus fee paying mode of the passengers comprises code scanning payment and cash payment;
the first processing module is used for detecting whether the passengers who do not pay the bus fee again within the preset time before the unmanned automobile arrives at the station;
the second processing module is used for acquiring the image of the passenger who does not pay the riding fee if the passenger does not pay the riding fee, and acquiring the sex, the age and the height of the passenger through image identification;
the fourth acquisition module is used for acquiring the identity information of the passenger from a public security system according to the image of the passenger and the sex, age and height of the passenger, wherein the identity information comprises a contact way, a family address and an identity card number;
and the second reminding module is used for sending a bus fee payment prompting message to the passenger according to the identity information, wherein the prompting message comprises bus fee, a payment mode, bus time, a boarding place and preset credit investigation prompting information.
Optionally, be equipped with cash payment device in the unmanned vehicles and sweep a yard payment device, cash payment device with sweep a yard payment device and be equipped with corresponding camera respectively, first judgement module specifically is used for:
when the cash payment device or the code scanning payment device detects a successful payment instruction, controlling a camera corresponding to the cash payment device or the code scanning payment device to acquire image information of a passenger paying the fee;
matching the collected image information of the passengers with the image information of the unregistered passengers, if the passengers with the same image matching exist, determining that the unregistered passengers pay the bus fee, and if not, determining that the unregistered passengers do not pay the bus fee.
Optionally, when the riding fee is collected according to a passenger trip, the apparatus further includes a third processing module, where the third processing module is specifically configured to:
pre-charging a passenger after the passenger gets on the vehicle;
recording the boarding station and the alighting station of the passenger through the plurality of cameras;
and after the passenger gets off the bus, deducting the bus fee from the pre-charging according to the getting-on station and the getting-off station, and returning the rest fee to the registered account of the passenger.
In another aspect of the embodiments of the present invention, an electronic device is provided, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method as described above.
The embodiment of the invention provides a riding payment method and a riding payment device for an unmanned automobile. According to the method, the identity of a passenger in the unmanned automobile is identified through a plurality of cameras arranged in the unmanned automobile in the period from the starting station to the next station of the unmanned automobile, and the passenger identity is automatically deducted from a registered account of the passenger after the passenger identity is identified. After the unmanned automobile is driven out of the non-starting station, second image information of all passengers in the automobile is obtained through the plurality of cameras, the second image information is compared with the image information obtained from the last station, the newly-entered passenger in the second image information is determined, the identity of the newly-entered passenger is identified, and the riding fee is deducted from the registered account of the passenger according to the identified identity information of the newly-entered passenger, wherein the passenger is the registered user by default. This embodiment can be convenient collect passenger's fare, need not the passenger and carry out any operation on the car, improved the convenience that the passenger sat the car and experienced by bus.
[ description of the drawings ]
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.
FIG. 1 is a schematic diagram of an application environment provided by an embodiment of the present invention;
FIG. 2 is a flow chart of a method for paying a ride of an unmanned vehicle according to an embodiment of the present invention;
FIG. 3 is a flow chart of a payment method for a ride of an unmanned vehicle according to another embodiment of the present invention;
fig. 4 is a schematic structural diagram of a riding payment device of an unmanned vehicle according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention.
[ detailed description ] embodiments
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It should be noted that, if not conflicted, the various features of the embodiments of the invention may be combined with each other within the scope of protection of the invention. Additionally, while functional block divisions are performed in the device diagrams, with logical sequences shown in the flowcharts, in some cases, the steps shown or described may be performed in a different order than the block divisions in the device diagrams, or the flowcharts.
Referring to fig. 1, fig. 1 is a schematic view of an application environment in which the riding payment method and the riding payment device according to the embodiment of the present invention can be applied. The application environment includes the unmanned automobile 100, the camera 200, the mobile terminal 300, and the server 400. The camera 200 is installed on the unmanned vehicle 100, the camera 200 is in communication connection with the server 400, and the mobile terminal 300 is in communication connection with the server 400.
The unmanned vehicle 100 may be any type of bus, such as a single-deck bus, a double-deck bus, or the like. The unmanned vehicle 100 is provided with a front door and a rear door, and passengers can get on the vehicle from the front door and get off the vehicle from the rear door. The unmanned vehicle 100 travels according to the set station and route, stops when arriving at the station, so as to facilitate passengers to get off and get on, and exits the station after all passengers get on.
The plurality of cameras 200 are respectively disposed at different positions of the unmanned vehicle 100, for example, at least one camera is respectively disposed at the front door and the rear door, and a plurality of cameras are respectively disposed in the unmanned vehicle 100, and the plurality of cameras can be disposed near a seat in a bus and above a passageway in the bus, so as to achieve the purpose of identifying each passenger in the bus. The position of the camera 200 may be set according to the layout situation in the vehicle when the unmanned vehicle 100 is actually used. In some embodiments, the camera 200 may also be a rotatable camera, and the rotation of the camera 200 may be controlled by the server 400.
The mobile terminal 300 is a terminal device operated by a user waiting for a bus, and may specifically be a mobile phone, a tablet computer, an intelligent bracelet, and the like. The mobile terminal 300 may run a browser, and may also run other application programs capable of loading and displaying a web page, such as a travel application, a payment application, and the like. In this embodiment, a user to take a car may access the server 400 at the mobile terminal 300 to complete user registration, where the user registration includes inputting basic information of the user, and the user may authorize to register an opening right of an account, and after the user takes the car, the server 400 may automatically deduct money according to the authorization of the user.
The server 400 may be a server, a server cluster composed of several servers, or a cloud computing service center. The server 400 is in communication connection with the camera 200 and the mobile terminal 300 through a wireless network or a wired network. The server 400 may be located within the unmanned vehicle 100, such as integrated into an unmanned vehicle system. The server 400 may be provided independently. The server 400 may control at least one unmanned vehicle 100. In this embodiment, the server 400 may execute the ride payment method, for example: after the unmanned automobile exits from the starting station, acquiring first image information of all passengers in the unmanned automobile through the plurality of cameras, and identifying the identities of the passengers according to the first image information and the passenger registration information; deducting a ride fee from a registered account of the passenger based on the identified identity information of the passenger before the unmanned vehicle arrives at a next station.
It should be noted that fig. 1 is only an example of the application environment, and the riding payment method and apparatus provided by the embodiment of the present invention may also be applied to other application environments, for example, the application environment does not include the mobile terminal 300; or an application environment including multiple unmanned vehicles 100, etc.
The following describes the fare payment method provided by the embodiment of the invention in detail with reference to the above application environment.
Referring to fig. 2, fig. 2 is a flowchart of a method for paying a ride of an unmanned vehicle according to an embodiment of the present invention. The unmanned vehicle can be specifically an unmanned bus, the unmanned vehicle is provided with a plurality of cameras, the cameras are used for collecting image information of passengers in a current application scene, in the embodiment, the passengers default to registered users, and the registered users comprise basic information of the users, such as user names, sexes, heights, ages, identification numbers, facial images of the users and the like. The registered user also comprises registered account authorization information, such as the user opens the WeChat automatic payment function or the Paibao automatic payment function, and when the registered user authorizes the automatic payment function of the registered account, the user can automatically deduct the bus fee from the registered account when riding. As shown in fig. 2, the method includes:
step 101, after the unmanned vehicle exits from the starting station, acquiring first image information of all passengers in the unmanned vehicle through the plurality of cameras.
In this embodiment, when an unmanned vehicle arrives at a station, passengers get on the unmanned vehicle, and when doors of the unmanned vehicle are closed, the unmanned vehicle exits from the station, and at this time, a plurality of cameras arranged in the unmanned vehicle are controlled to collect first image information of the passengers, where the first image information includes a facial image and/or a whole body image of each passenger.
When the first image information of all passengers in the unmanned automobile is acquired through the plurality of cameras, the working states of the plurality of cameras can be controlled according to the number of the passengers in the unmanned automobile, and the working states comprise a shooting state and a dormant state. For example, when the number of passengers in the unmanned vehicle is less than a preset threshold value, for example, less than 5, the global camera in the unmanned vehicle can be controlled to be in a shooting state, the local camera is in a dormant state, and image information of all passengers in the vehicle can be acquired only by the operation of the global camera; when the number of passengers in the unmanned automobile is larger than a preset threshold value, for example, larger than 15, the global camera and the local camera in the unmanned automobile can be controlled to be in shooting states. Therefore, the number of passengers can be controlled according to the number of the passengers, and only part of the cameras are needed to work when the number of the passengers is small, so that the power consumption is reduced while the passenger images are collected. The global camera refers to a camera with a wide shooting range, and can be arranged at the center of the top in the vehicle. The local camera refers to a camera with a narrow shooting range, can be used for collecting images of positions which are not easy to be shot locally, and can be arranged at the corners of the rear row and the front row in the vehicle, the backrest of each seat, the upper door and the lower door, and the like.
And 102, identifying the passenger according to the first image information and the passenger registration information.
The passenger registration information comprises an image of a passenger collected during registration, the first image information is matched with the image information collected during registration, and if the first image information is matched with the image information collected during registration, the user basic information corresponding to the image information is obtained, so that the identity of the passenger is recognized.
And 103, deducting the riding fee from the registered account of the passenger according to the identified identity information of the passenger before the unmanned automobile arrives at the next station.
In the embodiment, the fee deduction operation for the passengers is completed before the unmanned automobile arrives at the station, and the fee is fixed, such as 2 yuan.
In some embodiments, when the ride fee is collected based on passenger travel, the method further comprises: pre-charging a passenger after the passenger gets on the vehicle; recording the boarding station and the alighting station of the passenger through the plurality of cameras; and after the passenger gets off the bus, deducting the bus fee from the pre-charging according to the getting-on station and the getting-off station, and returning the rest fee to the registered account of the passenger. Wherein the step of pre-charging may be deducting the pre-charge from the registered account of the passenger after the identification information of the passenger is recognized.
The method is mainly used for registered passengers, and the passengers authorize the automatic payment function. The following steps provide a method of payment for a ride when the unmanned vehicle is driven from a non-origin station.
And 104, after the unmanned automobile exits from the current non-starting station, acquiring second image information of all passengers in the unmanned automobile through the plurality of cameras.
The process may refer to the above method steps, which are not described herein again.
And 105, determining a passenger who newly gets on the vehicle in the second image information according to the second image information and the passenger image information acquired by the previous station, and identifying the identity of the newly getting on passenger.
The image information of passengers in the unmanned automobile is collected when the unmanned automobile exits from each station, so that the image information of the passengers collected by the current station and the image information of the passengers collected by the previous station are compared to obtain which passengers are the passengers getting on the current station, and the passengers getting on the current station can be identified according to the method.
And 106, deducting the riding fee from the registered account of the passenger according to the identified identity information of the newly-boarding passenger before the unmanned automobile arrives at the next station.
In the embodiment, after the user registration operation is performed before the passenger sits in the automobile, the passenger can conveniently take the unmanned automobile, so that a riding mode that the passenger directly gets on the automobile and gets off the automobile when the passenger arrives at a station is realized, and on one hand, the labor cost of the unmanned automobile during charging is reduced; on the other hand, the bus taking is more convenient, passengers do not need to spend excessive time when paying the bus taking, and the vehicle running efficiency is improved.
In the above embodiment, the passenger is identified by capturing an image of the passenger through the camera, and when the passenger cannot be identified through the image, for example, the passenger wears a mask, the method may further include: the voice information of the passenger is collected, the collected voice information is matched with the registered voice information of the passenger, and the identity information of the passenger is obtained through voice recognition and voice analysis. The collected voice information may be any sound emitted by the passenger in the vehicle cabin. The voice output by the passenger can be actively reminded, for example, when the passenger gets on the bus, the passenger needs to speak out the station where the passenger gets off the bus in a voice input mode, and therefore, the background server can obtain the voice information of the passenger.
It can be understood that not all passengers in a car will perform user registration, such as the elderly without mobile phone, and therefore, how to solve the problem of payment for unregistered passengers?
Specifically, referring to fig. 3, fig. 3 is a flowchart of a bus payment method for an unmanned vehicle according to another embodiment of the present invention. Wherein, be equipped with the display screen in the unmanned car, when having unregistered passenger among the passenger of getting on the bus, the method still includes:
step 201, after the unmanned vehicle exits from the starting station, acquiring first image information of all passengers in the unmanned vehicle through the plurality of cameras.
And 202, identifying the passenger according to the first image information and the passenger registration information.
And step 203, deducting the riding fee from the registered account of the passenger according to the identified identity information of the passenger before the unmanned automobile arrives at the next station.
And 204, after the unmanned automobile exits from the current non-starting station, acquiring second image information of all passengers in the unmanned automobile through the plurality of cameras.
Step 205, determining a passenger who newly gets on the vehicle in the second image information according to the second image information and the passenger image information acquired at the previous station, and identifying the identity of the passenger who newly gets on the vehicle.
And step 206, deducting the riding fee from the registered account of the passenger according to the identified identity information of the newly-boarding passenger before the unmanned automobile arrives at the next station.
The above steps 201 to 206 may refer to the above method embodiments specifically, and are not described herein again.
And step 207, acquiring image information of the unregistered passenger.
And when the acquired image information contains partial images which are not contained in the image information of the registered passengers, the passengers corresponding to the partial images are the unregistered passengers.
And step 208, judging whether the unregistered passenger pays the riding fee.
The riding payment mode of the unmanned automobile is not limited to automatic fee deduction, and also comprises passenger code scanning payment, passenger cash payment and the like. It is determined that the unregistered passenger is not necessarily a passenger who does not pay the fare, and therefore, in this embodiment, it is determined whether the unregistered passenger pays the fare, specifically, a cash payment device and a code scanning payment device are provided in the unmanned vehicle, the cash payment device and the code scanning payment device are respectively provided with corresponding cameras, and the determining whether the unregistered passenger has paid the fare includes: when the cash payment device or the code scanning payment device detects a successful payment instruction, controlling a camera corresponding to the cash payment device or the code scanning payment device to acquire image information of a passenger paying the fee; matching the collected image information of the passengers with the image information of the unregistered passengers, if the passengers with the same image matching exist, determining that the unregistered passengers pay the bus fee, and if not, determining that the unregistered passengers do not pay the bus fee.
It should be noted that, in addition to the above method for determining whether the unregistered passenger pays the fare, other methods may be used for determining.
If the unregistered passenger does not pay the fare, step 209 is performed.
And 209, judging whether the unregistered passengers include special passengers, wherein the special passengers include children, old people and soldiers.
Wherein, whether the passenger in the image is a child or an old person can be detected by means of image recognition. In addition, when the passenger possess special identity, can show the special identification of oneself when the bus is gone up, for example military person show military identification card, old man show old age card etc. the camera can gather military identification card, old age card etc. that the passenger showed to can confirm whether this passenger is special passenger.
If not, the following step 210 is performed.
Step 210, displaying the image information of the passengers who do not pay the bus fee on the display screen, and reminding the passengers who do not pay the bus fee to pay the bus fee in a broadcasting way, wherein the bus fee paying way of the passengers comprises code scanning payment and cash payment.
And displaying the image information of the passengers who do not pay the bus fee on the display screen, and reminding the passengers to pay the bus fee in a broadcasting way, wherein the bus fee paying way of the passengers comprises code scanning payment and cash payment.
The image information of the passengers who do not pay the riding fee is displayed on a display screen in the unmanned automobile, and the display screen can be arranged in the middle of the automobile. The image information presented on the display screen may be presented in a scrolling manner or in other manners. In some embodiments, besides displaying the image information on the display screen, the image information may be associated with a broadcast, and the passenger on the display screen may be prompted to pay the fare by voice playing, for example, the broadcast is "please pay the fare for the passenger below" or the like. In addition, when some passengers wear a mask or wear a hat when taking a car, so that the images of the faces of the passengers cannot be clearly obtained, the displaying the image information of the passengers who do not pay the fare on the display screen includes: the face image of the passenger wearing a mask or wearing a hat and not paying the bus fee is highlighted on the display screen, and the passenger is mainly reminded in a voice broadcast mode. Wherein the highlighting comprises: highlighting, magnifying, etc.
And step 211, detecting whether the passengers who do not pay the bus fee again within the preset time before the unmanned automobile arrives at the station.
The preset time may be set by a system, and the system may determine the preset time according to the travel time between two stations. The manner of detecting whether the passenger pays the fare can refer to the above steps.
If the ride fee is not paid, the following step 212 is performed.
And 212, acquiring an image of the passenger who does not pay the bus fee, and acquiring the sex, the age and the height of the passenger through image identification.
And step 213, acquiring the identity information of the passenger from a public security system according to the image of the passenger and the sex, age and height of the passenger, wherein the identity information comprises a contact way, a family address and an identity card number.
And 214, sending a bus fee payment prompting message to the passenger according to the identity information, wherein the prompting message comprises bus fee, a payment mode, bus time, a boarding place and preset credit investigation prompting information.
The information of the passenger is further acquired through the image acquisition and image recognition modes, so that the passenger can pay the bus fee again. The prompt message may be a prompt message sent by a short message service, or a social media account such as WeChat and QQ. After receiving the prompt message, the passenger can pay according to the payment mode provided in the prompt message, for example, the prompt message includes a link, and the passenger clicks the link to jump the display interface to the payment page, thereby completing the payment. Of course, the passenger may also pay through other payment-type applications that are bound. Meanwhile, the payment result of the passenger at this time is connected with a credit investigation system of the passenger, and if the passenger does not pay or pays less in riding, the individual credit degree of the passenger is influenced.
It should be noted that the above-mentioned manner of reminding the passenger who has not paid the fare is only an example, and in the practical application, other methods may be used to remind the passenger of paying.
The embodiment of the invention provides a riding payment method of an unmanned automobile, which mainly takes corresponding measures aiming at unregistered ticket-evading passengers and can effectively reduce the ticket-evading probability of the passengers.
In some embodiments, the method further comprises: when a passenger gets on the bus, the height information of the passenger is obtained, and whether the passenger is reminded to pay the bus fee or not is determined according to the height information. When the height of a passenger is smaller than or equal to a preset height, the passenger takes the bus free; when the height of the passenger is larger than the preset height, whether the passenger pays the bus fee is judged, and if the passenger does not pay the bus fee, the passenger can be reminded to pay by the above embodiment. The embodiment solves the problem that whether the old children need to pay the bus fee when taking the bus. Wherein, can acquire passenger's height information through infrared camera, infrared camera can set up near last car door, it can only support a passenger to get into at every turn to go up the car door.
In some embodiments, the method further comprises: when the riding credit value of the passenger is larger than the preset threshold value, the credit of the passenger is good, and the passenger can be rewarded in other modes such as a coupon or a red packet, so that the passenger can enjoy riding benefits. Therefore, people are encouraged to use public unmanned automobiles for going out, and energy conservation and environmental protection are facilitated.
Referring to fig. 4, fig. 4 is a schematic structural diagram of a riding payment device of an unmanned vehicle according to an embodiment of the present invention, where the unmanned vehicle is provided with a plurality of cameras, and the device 20 includes: the system comprises a first acquisition module 2001, a first identification module 2002, a first fare deduction module 2003, a second acquisition module 2004, a second identification module 2005 and a second fare deduction module 2006.
The first obtaining module 2001 is configured to obtain first image information of all passengers in the unmanned vehicle through the plurality of cameras after the unmanned vehicle exits from the starting station; a first identification module 2002, configured to identify the passenger according to the first image information and passenger registration information; a first fare deduction module 2003 for deducting a fare from a registered account of the passenger according to the identified identity information of the passenger before the driverless vehicle arrives at a next station; a second obtaining module 2004, configured to obtain, through the plurality of cameras, second image information of all passengers in the unmanned vehicle after the unmanned vehicle exits from a current non-starting point; the second identifying module 2005 is configured to determine, according to the second image information and passenger image information acquired at a previous station, a passenger who newly gets on the vehicle in the second image information, and identify an identity of the passenger who newly gets on the vehicle; and a second fare deduction module 2006, configured to deduct a fare from a registered account of the passenger according to the identified identity information of the newly boarding passenger before the unmanned vehicle arrives at a next station.
A display screen is provided in the unmanned vehicle, and when there is an unregistered passenger among the passengers getting on the vehicle, referring to fig. 4 as well, the apparatus 20 further includes: the system comprises a third obtaining module 2007, a first judging module 2008, a second judging module 2009, a first reminding module 2010, a first processing module 2011, a second processing module 2012, a fourth obtaining module 2013 and a second reminding module 2014. The third acquiring module 2007, configured to acquire image information of an unregistered passenger; the first determining module 2008 is configured to determine whether the unregistered passenger has paid a ride fee; the second determining module 2009 is configured to determine whether the unregistered passenger includes a special passenger if the unregistered passenger does not include the special passenger, where the special passenger includes a child, an old person, and a soldier; the first reminding module 2010 is configured to display, on the display screen, the image information of the passenger who does not pay the bus fee if the image information of the passenger does not include the image information of the passenger who does not pay the bus fee, and remind the passenger who does not pay the bus fee of paying the bus fee in a broadcast manner, where the bus fee paying manner of the passenger includes code scanning payment and cash payment; the first processing module 2011 is configured to detect whether the passenger without paying the fare pays the fare again within a preset time before the unmanned vehicle arrives at the station; the second processing module 2012 is configured to, if the passenger does not pay the riding fee, obtain an image of the passenger who does not pay the riding fee, and obtain the gender, age, and height of the passenger through image recognition; the fourth obtaining module 2013 is configured to obtain identity information of the passenger from a public security system according to the image of the passenger and the gender, age, and height of the passenger, where the identity information includes a contact address, a home address, and an identification number; the second reminding module 2014 is configured to send a bus fee payment prompting message to the passenger according to the identity information, where the prompting message includes bus fee, payment method, bus time, boarding place, and preset credit investigation prompting information.
Wherein, be equipped with cash payment device in the unmanned vehicles and sweep a yard payment device, cash payment device with sweep a yard payment device and be equipped with corresponding camera respectively, first judging module 2008 specifically is used for: when the cash payment device or the code scanning payment device detects a successful payment instruction, controlling a camera corresponding to the cash payment device or the code scanning payment device to acquire image information of a passenger paying the fee; matching the collected image information of the passengers with the image information of the unregistered passengers, if the passengers with the same image matching exist, determining that the unregistered passengers pay the bus fee, and if not, determining that the unregistered passengers do not pay the bus fee.
In some embodiments, when the ride fee is collected according to the travel of the passenger, the apparatus 20 further includes a third processing module 2015, where the third processing module 2015 is specifically configured to:
pre-charging a passenger after the passenger gets on the vehicle;
recording the boarding station and the alighting station of the passenger through the plurality of cameras;
and after the passenger gets off the bus, deducting the bus fee from the pre-charging according to the getting-on station and the getting-off station, and returning the rest fee to the registered account of the passenger.
In some embodiments, the apparatus 20 further comprises a fourth processing module 2016, wherein the fourth processing module 2016 is specifically configured to: and controlling the working states of the plurality of cameras according to the number of passengers in the unmanned automobile, wherein the working states comprise a shooting state and a dormant state.
It should be noted that the riding payment device for the unmanned vehicle provided by the embodiment can execute the riding payment method for the unmanned vehicle provided by the above embodiment, and has functional modules and beneficial effects corresponding to the execution method. Technical details that are not described in detail in the embodiment of the bus taking payment device for the unmanned vehicle can be referred to the bus taking payment method for the unmanned vehicle provided by the embodiment of the invention.
Referring to fig. 5, fig. 5 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention, where the electronic device 30 is configured to execute the riding payment method for an unmanned vehicle, and as shown in fig. 5, the electronic device 30 includes:
one or more processors 31 and a memory 32, with one processor 31 being an example in fig. 5.
The processor 31 and the memory 32 may be connected by a bus or other means, and fig. 5 illustrates the connection by a bus as an example.
The memory 32 is a non-volatile computer-readable storage medium and may be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions/modules (e.g., the modules shown in fig. 4) corresponding to the riding payment method of the unmanned vehicle according to the embodiment of the present invention. The processor 31 executes various functional applications and data processing of the riding payment device of the unmanned vehicle by running the nonvolatile software program, instructions and modules stored in the memory 32, that is, implements the riding payment method of the unmanned vehicle of the above-described method embodiment.
The memory 32 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of a riding payment device of the unmanned automobile, and the like. Further, the memory 32 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the memory 32 optionally includes memory located remotely from the processor 31, and these remote memories may be connected to the ride payment devices of the unmanned vehicle via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more modules are stored in the memory 32 and when executed by the one or more processors 31, perform the method for payment for taking a ride of an unmanned vehicle in any of the above-described method embodiments, for example, the method steps 101 to 106 in fig. 2, and the method steps 201 to 214 in fig. 3, described above, are performed to implement the functions of the module 2001-2016 in fig. 4.
The product can execute the method provided by the embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the method provided by the embodiment of the present invention.
The electronic device of the embodiment of the invention exists in various forms, including but not limited to servers and other electronic devices with data interaction functions.
Embodiments of the present invention provide a non-transitory computer-readable storage medium storing computer-executable instructions, which are executed by an electronic device to perform the method for routing a mobile robot in any of the above-mentioned method embodiments, for example, the method steps 101 to 106 in fig. 2 and the method steps 201 to 214 in fig. 3 described above are executed to implement the functions of the module 2001-2016 in fig. 4.
Embodiments of the present invention provide a computer program product comprising a computer program stored on a non-volatile computer-readable storage medium, the computer program comprising program instructions that, when executed by a computer, cause the computer to perform the method for routing a mobile robot in any of the above-described method embodiments, for example, the method steps 101 to 106 in fig. 2, and the method steps 201 to 214 in fig. 3 described above are performed to implement the functions of the module 2001 and 2016 in fig. 4.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a general hardware platform, and certainly can also be implemented by hardware. It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a computer readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; within the idea of the invention, also technical features in the above embodiments or in different embodiments may be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the invention as described above, which are not provided in detail for the sake of brevity; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. A payment method for riding of an unmanned vehicle, the unmanned vehicle being provided with a plurality of cameras, the method comprising:
after the unmanned automobile exits from the starting station, acquiring first image information of all passengers in the unmanned automobile through the plurality of cameras;
identifying the identity of the passenger according to the first image information and the passenger registration information;
deducting a ride fee from a registered account of the passenger according to the identified identity information of the passenger before the unmanned vehicle arrives at a next station;
after the unmanned automobile exits from the current non-starting station, second image information of all passengers in the unmanned automobile is obtained through the plurality of cameras;
determining a passenger who newly gets on the bus in the second image information according to the second image information and the passenger image information acquired by the previous station, and identifying the identity of the passenger who newly gets on the bus;
and deducting the riding fee from the registered account of the passenger according to the identified identity information of the newly-boarding passenger before the unmanned automobile arrives at the next station.
2. The method of claim 1, wherein a display screen is provided in the unmanned vehicle, and when an unregistered passenger is present among the boarding passengers, the method further comprises:
acquiring image information of an unregistered passenger;
judging whether the unregistered passenger pays a ride fee;
if not, judging whether the unregistered passengers comprise special passengers or not, wherein the special passengers comprise children, old people and soldiers;
if not, displaying the image information of the passengers who do not pay the bus fee on the display screen, and reminding the passengers who do not pay the bus fee to pay the bus fee in a broadcasting way, wherein the bus fee paying way of the passengers comprises code scanning payment and cash payment;
detecting whether the passengers who do not pay the bus fee again within a preset time before the unmanned automobile arrives at the station;
if not, acquiring the image of the passenger who does not pay the bus fee, and acquiring the sex, the age and the height of the passenger through image identification;
acquiring identity information of the passenger from a public security system according to the image of the passenger and the sex, age and height of the passenger, wherein the identity information comprises a contact way, a family address and an identity card number;
and sending a bus fee payment prompt message to the passenger according to the identity information, wherein the prompt message comprises bus fee, a payment mode, bus time, a boarding place and preset credit investigation prompt information.
3. The method of claim 2, wherein a cash payment device and a code scanning payment device are provided in the unmanned vehicle, the cash payment device and the code scanning payment device are respectively provided with corresponding cameras,
the determining whether the unregistered passenger has paid a ride fee includes:
when the cash payment device or the code scanning payment device detects a successful payment instruction, controlling a camera corresponding to the cash payment device or the code scanning payment device to acquire image information of a passenger paying the fee;
matching the collected image information of the passengers with the image information of the unregistered passengers, if the passengers with the same image matching exist, determining that the unregistered passengers pay the bus fee, and if not, determining that the unregistered passengers do not pay the bus fee.
4. The method of claim 1, wherein when the ride fee is collected based on a passenger trip, the method further comprises:
pre-charging a passenger after the passenger gets on the vehicle;
recording the boarding station and the alighting station of the passenger through the plurality of cameras;
and after the passenger gets off the bus, deducting the bus fee from the pre-charging according to the getting-on station and the getting-off station, and returning the rest fee to the registered account of the passenger.
5. The method of claim 1, further comprising:
and controlling the working states of the plurality of cameras according to the number of passengers in the unmanned automobile, wherein the working states comprise a shooting state and a dormant state.
6. A riding payment device for an unmanned vehicle, the unmanned vehicle having a plurality of cameras, the device comprising:
the first acquisition module is used for acquiring first image information of all passengers in the unmanned automobile through the plurality of cameras after the unmanned automobile is driven out of the starting station;
the first identification module is used for identifying the identity of the passenger according to the first image information and the passenger registration information;
the first fare deduction module is used for deducting fare from a registered account of the passenger according to the identified identity information of the passenger before the unmanned automobile arrives at the next station;
the second acquisition module is used for acquiring second image information of all passengers in the unmanned automobile through the plurality of cameras after the unmanned automobile is driven out of the current non-starting station;
the second identification module is used for determining a passenger who newly gets on the bus in the second image information according to the second image information and the passenger image information acquired by the previous station, and identifying the identity of the passenger who newly gets on the bus;
and the second fare deduction module is used for deducting the fare from the registered account of the passenger according to the identified identity information of the newly-boarding passenger before the unmanned automobile arrives at the next station.
7. The apparatus of claim 6, wherein a display screen is provided in the unmanned vehicle, and when an unregistered passenger is present among boarding passengers, the apparatus further comprises:
the third acquisition module is used for acquiring the image information of the unregistered passenger;
the first judgment module is used for judging whether the unregistered passenger pays the bus fee or not;
the second judgment module is used for judging whether special passengers are included in the unregistered passengers or not if the unregistered passengers do not include special passengers, wherein the special passengers include children, old people and soldiers;
the first reminding module is used for displaying the image information of the passengers who do not pay the bus fee on the display screen if the image information does not include the image information of the passengers who do not pay the bus fee, and reminding the passengers who do not pay the bus fee to pay the bus fee in a broadcasting mode, wherein the bus fee paying mode of the passengers comprises code scanning payment and cash payment;
the first processing module is used for detecting whether the passengers who do not pay the bus fee again within the preset time before the unmanned automobile arrives at the station;
the second processing module is used for acquiring the image of the passenger who does not pay the riding fee if the passenger does not pay the riding fee, and acquiring the sex, the age and the height of the passenger through image identification;
the fourth acquisition module is used for acquiring the identity information of the passenger from a public security system according to the image of the passenger and the sex, age and height of the passenger, wherein the identity information comprises a contact way, a family address and an identity card number;
and the second reminding module is used for sending a bus fee payment prompting message to the passenger according to the identity information, wherein the prompting message comprises bus fee, a payment mode, bus time, a boarding place and preset credit investigation prompting information.
8. The device according to claim 7, wherein a cash payment device and a code scanning payment device are arranged in the unmanned vehicle, the cash payment device and the code scanning payment device are respectively provided with corresponding cameras, and the first judgment module is specifically configured to:
when the cash payment device or the code scanning payment device detects a successful payment instruction, controlling a camera corresponding to the cash payment device or the code scanning payment device to acquire image information of a passenger paying the fee;
matching the collected image information of the passengers with the image information of the unregistered passengers, if the passengers with the same image matching exist, determining that the unregistered passengers pay the bus fee, and if not, determining that the unregistered passengers do not pay the bus fee.
9. The apparatus of claim 6, wherein when the ride fee is collected based on a passenger trip, the apparatus further comprises a third processing module, the third processing module being configured to:
pre-charging a passenger after the passenger gets on the vehicle;
recording the boarding station and the alighting station of the passenger through the plurality of cameras;
and after the passenger gets off the bus, deducting the bus fee from the pre-charging according to the getting-on station and the getting-off station, and returning the rest fee to the registered account of the passenger.
10. An electronic device, characterized in that the electronic device comprises:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1 to 5.
CN201911055054.7A 2019-10-31 2019-10-31 Riding payment method and device for unmanned automobile and electronic equipment Active CN110766812B (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN202011096396.6A CN112232797B (en) 2019-10-31 2019-10-31 Riding payment method and device for unmanned automobile and electronic equipment
CN201911055054.7A CN110766812B (en) 2019-10-31 2019-10-31 Riding payment method and device for unmanned automobile and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911055054.7A CN110766812B (en) 2019-10-31 2019-10-31 Riding payment method and device for unmanned automobile and electronic equipment

Related Child Applications (1)

Application Number Title Priority Date Filing Date
CN202011096396.6A Division CN112232797B (en) 2019-10-31 2019-10-31 Riding payment method and device for unmanned automobile and electronic equipment

Publications (2)

Publication Number Publication Date
CN110766812A true CN110766812A (en) 2020-02-07
CN110766812B CN110766812B (en) 2020-11-10

Family

ID=69335768

Family Applications (2)

Application Number Title Priority Date Filing Date
CN202011096396.6A Active CN112232797B (en) 2019-10-31 2019-10-31 Riding payment method and device for unmanned automobile and electronic equipment
CN201911055054.7A Active CN110766812B (en) 2019-10-31 2019-10-31 Riding payment method and device for unmanned automobile and electronic equipment

Family Applications Before (1)

Application Number Title Priority Date Filing Date
CN202011096396.6A Active CN112232797B (en) 2019-10-31 2019-10-31 Riding payment method and device for unmanned automobile and electronic equipment

Country Status (1)

Country Link
CN (2) CN112232797B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111369727A (en) * 2020-02-20 2020-07-03 上海商汤智能科技有限公司 Traffic control method and device
CN113140103A (en) * 2021-04-10 2021-07-20 温州大学 Public traffic scheduling method and system
CN114092075A (en) * 2021-11-26 2022-02-25 阿波罗智联(北京)科技有限公司 Automatic payment method, device, electronic equipment and medium

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114205747B (en) * 2021-11-24 2023-10-20 广州文远知行科技有限公司 Method, device, equipment, storage medium and terminal for taking unmanned vehicle

Citations (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101231703A (en) * 2008-02-28 2008-07-30 上海交通大学 Method for tracing a plurality of human faces base on correlate vector machine to improve learning
CN102024282A (en) * 2009-09-16 2011-04-20 盛巧明 Monitoring system for public transport means
US20140036078A1 (en) * 2012-08-06 2014-02-06 Steven David Nerayoff System for Controlling Vehicle Use of Parking Spaces by Use of Cameras
CN104751321A (en) * 2015-04-08 2015-07-01 江苏科技大学 Intelligent bus payment system with specific people recognition function and implementing method of intelligent bus payment system
CN105741096A (en) * 2016-01-22 2016-07-06 上海斐讯数据通信技术有限公司 Automatic payment method and automatic payment system for buses
CN106127944A (en) * 2016-06-12 2016-11-16 常州大学 Bus based on face recognition technology is deducted fees system
CN106897867A (en) * 2017-03-01 2017-06-27 哈尔滨工业大学 A kind of cloud center public transport method of payment and system based on site terminal
KR20170075353A (en) * 2015-12-23 2017-07-03 한국교통대학교산학협력단 Systems and methods for getting on/off vehicle
WO2018034589A1 (en) * 2016-08-17 2018-02-22 Андрей Владимирович ДЗЫГАРЬ Payment monitoring system
CN107886331A (en) * 2017-12-29 2018-04-06 东莞旺科知识产权运营有限公司 A kind of public transport charge system based on dynamic recognition system
CN107945346A (en) * 2017-12-07 2018-04-20 苏州诚满信息技术有限公司 A kind of intelligent Matching system for carrying passenger based on iris and recognition of face
CN108960150A (en) * 2018-07-05 2018-12-07 东华大学 A kind of unmanned transit riding payment monitor system
CN109409207A (en) * 2018-09-10 2019-03-01 百度在线网络技术(北京)有限公司 The recognition methods of passenger status, device, equipment and storage medium in unmanned vehicle
CN109509263A (en) * 2018-11-02 2019-03-22 长春众鼎科技有限公司 Intelligent bus charge system and method based on recognition of face
CN109785453A (en) * 2019-03-06 2019-05-21 深圳市雷凌广通技术研发有限公司 A kind of charging system for city bus based on block chain technology
CN109816391A (en) * 2019-01-16 2019-05-28 深兰人工智能芯片研究院(江苏)有限公司 The passenger ticket method of payment and system of public transport, storage medium
CN208938176U (en) * 2018-09-04 2019-06-04 苏州研可智能科技有限公司 Bus charging system based on recognition of face
CN109919593A (en) * 2019-03-21 2019-06-21 京东方科技集团股份有限公司 Settlement method and system, mobile unit, computer equipment and medium

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1165020C (en) * 2001-04-07 2004-09-01 史泓 Card charging system for bus and its method
JP5852849B2 (en) * 2011-11-08 2016-02-03 日本信号株式会社 Ticket guidance robot
WO2018034651A1 (en) * 2016-08-16 2018-02-22 Ford Global Technologies, Llc Methods and apparatus to present anticipated vehicle maneuvers to a passenger
CN106394443B (en) * 2016-09-23 2019-05-10 上海蔚来汽车有限公司 Vehicle device broadcasting system and method
CN106779637A (en) * 2016-11-21 2017-05-31 河南辉煌城轨科技有限公司 A kind of subway based on Third-party payment platform is ridden payment methods
CN107516205A (en) * 2017-07-25 2017-12-26 贵州眯果创意科技有限公司 The bus that a kind of intelligent network is paid
CN207345430U (en) * 2017-10-25 2018-05-11 无锡职业技术学院 A kind of new-energy automotive air-conditioning control system based on video sensing technology

Patent Citations (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101231703A (en) * 2008-02-28 2008-07-30 上海交通大学 Method for tracing a plurality of human faces base on correlate vector machine to improve learning
CN102024282A (en) * 2009-09-16 2011-04-20 盛巧明 Monitoring system for public transport means
US20140036078A1 (en) * 2012-08-06 2014-02-06 Steven David Nerayoff System for Controlling Vehicle Use of Parking Spaces by Use of Cameras
CN104751321A (en) * 2015-04-08 2015-07-01 江苏科技大学 Intelligent bus payment system with specific people recognition function and implementing method of intelligent bus payment system
KR20170075353A (en) * 2015-12-23 2017-07-03 한국교통대학교산학협력단 Systems and methods for getting on/off vehicle
CN105741096A (en) * 2016-01-22 2016-07-06 上海斐讯数据通信技术有限公司 Automatic payment method and automatic payment system for buses
CN106127944A (en) * 2016-06-12 2016-11-16 常州大学 Bus based on face recognition technology is deducted fees system
WO2018034589A1 (en) * 2016-08-17 2018-02-22 Андрей Владимирович ДЗЫГАРЬ Payment monitoring system
CN106897867A (en) * 2017-03-01 2017-06-27 哈尔滨工业大学 A kind of cloud center public transport method of payment and system based on site terminal
CN107945346A (en) * 2017-12-07 2018-04-20 苏州诚满信息技术有限公司 A kind of intelligent Matching system for carrying passenger based on iris and recognition of face
CN107886331A (en) * 2017-12-29 2018-04-06 东莞旺科知识产权运营有限公司 A kind of public transport charge system based on dynamic recognition system
CN108960150A (en) * 2018-07-05 2018-12-07 东华大学 A kind of unmanned transit riding payment monitor system
CN208938176U (en) * 2018-09-04 2019-06-04 苏州研可智能科技有限公司 Bus charging system based on recognition of face
CN109409207A (en) * 2018-09-10 2019-03-01 百度在线网络技术(北京)有限公司 The recognition methods of passenger status, device, equipment and storage medium in unmanned vehicle
CN109509263A (en) * 2018-11-02 2019-03-22 长春众鼎科技有限公司 Intelligent bus charge system and method based on recognition of face
CN109816391A (en) * 2019-01-16 2019-05-28 深兰人工智能芯片研究院(江苏)有限公司 The passenger ticket method of payment and system of public transport, storage medium
CN109785453A (en) * 2019-03-06 2019-05-21 深圳市雷凌广通技术研发有限公司 A kind of charging system for city bus based on block chain technology
CN109919593A (en) * 2019-03-21 2019-06-21 京东方科技集团股份有限公司 Settlement method and system, mobile unit, computer equipment and medium

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111369727A (en) * 2020-02-20 2020-07-03 上海商汤智能科技有限公司 Traffic control method and device
CN113140103A (en) * 2021-04-10 2021-07-20 温州大学 Public traffic scheduling method and system
CN113140103B (en) * 2021-04-10 2022-08-02 温州大学 Public traffic scheduling method and system
CN114092075A (en) * 2021-11-26 2022-02-25 阿波罗智联(北京)科技有限公司 Automatic payment method, device, electronic equipment and medium

Also Published As

Publication number Publication date
CN112232797A (en) 2021-01-15
CN110766812B (en) 2020-11-10
CN112232797B (en) 2023-06-30

Similar Documents

Publication Publication Date Title
CN110766812B (en) Riding payment method and device for unmanned automobile and electronic equipment
CN108230465B (en) Mobile terminal-based gate quick passing control method
JP6332817B2 (en) Autonomous vehicles and programs for autonomous vehicles
CN106056403B (en) A kind of rail traffic expense of riding determines method and system
US20200005059A1 (en) Information processing device, information processing method, and information processing program product
JP6765530B2 (en) Methods and devices for in-car payments
CN111492386A (en) System and method for charging electric vehicle
CN109191598B (en) Parking space management system and management method thereof
CN109509263A (en) Intelligent bus charge system and method based on recognition of face
US10127534B2 (en) Transaction systems, and related methods
CN110228472A (en) Vehicle control system, control method for vehicle and storage medium
KR102198247B1 (en) Server for providing electric car rental service, method and program thereof
CN110428250B (en) Bus non-inductive payment method, device, medium and device based on Bluetooth
CN109727390B (en) Charging pile operation process control method and computer storage medium
CN208938176U (en) Bus charging system based on recognition of face
CN111325559B (en) Payment control method and payment control system applied to buses
CN205247461U (en) Unmanned on duty's parking lot automatic control and charging system
EP4047319A1 (en) System and method for prioritising vehicle navigation destinations
US20210192951A1 (en) System, vehicle control device, and method
CN107358749B (en) Scenic spot vehicle management system
CN108364174A (en) A kind of elevator charging method and system
Pareek et al. IoT based prototype for smart vehicle and parking management system
CN108205888B (en) Method and device for judging passenger entering and exiting station
CN110751304A (en) Information interaction synchronization method and device for service provider
CN109583402B (en) People counting method for scenic spot riding sightseeing vehicle

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right

Effective date of registration: 20230328

Address after: 2nd Floor Factory Building, Building 4, No. 1, Keji 7th Road, Tangjiawan Town, High-tech Zone, Zhuhai City, Guangdong Province, 519000

Patentee after: Guangdong Titan Intelligent Power Co.,Ltd.

Address before: On the south side of Zhuhai Avenue in Guangdong city of Zhuhai province Jinwan District 519090

Patentee before: GUODONG POLYTECHNIC OF SCIENCE AND TECHNOLOGY

TR01 Transfer of patent right