CN107633612B - Electric vehicle leasing management method and system based on iris recognition - Google Patents
Electric vehicle leasing management method and system based on iris recognition Download PDFInfo
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Abstract
The invention discloses an electric vehicle leasing management method and system based on iris recognition, wherein the method comprises the following steps: the digital camera shoots human eye images and outputs digital image signals to the processing unit; the processing unit records the time T from the closing of the vehicle door to the starting of the acquisition key by the user; the evaluation unit evaluates basic parameters of the image; the processing unit transmits the extracted iris code and the time T to a background management center; the background management center compares the received characteristic values in a database; and if the matching is successful, the background management center judges the request of the user through the time T and the rental state of the vehicle. According to the invention, the iris recognition technology is integrated into the leasing management of the electric automobile, so that the problems of inconvenience in leasing, low management efficiency, loss and the like are avoided, and people can go out more conveniently and more environmentally friendly.
Description
Technical Field
The invention belongs to the field of public transportation, and relates to an electric automobile leasing management method and system based on iris recognition.
Background
Automobiles are essential vehicles for modern people. Compared with the traditional automobile, the electric automobile has the characteristics of energy conservation, environmental protection, diversified energy sources and the like, does not cause emission pollution, and can solve the problem of urban electric energy surplus at night. However, the technology and the supporting facilities of the electric vehicle are not perfect at present, and many concerns exist when many consumers buy the electric vehicle, so the rental mode becomes an important means for popularizing the electric vehicle.
The electric automobile leasing has the advantages of meeting the short trip requirements of people, reducing the cost of using the electric automobile by a private person, reducing the quantity of the motor vehicles, relieving the environmental and energy stress and the like. The vehicles are networked, and the citizen can rent or return the electric vehicle at any leasing network and handle the procedures of leasing payment, refunding and the like. The utilization rate of the electric automobile is improved, the problems of high maintenance cost, low use frequency, difficult parking and the like of a private automobile are solved through unified management, and the green, low-carbon and healthy new life travel mode is met.
However, the existing electric vehicle renting mainly depends on the mobile phone APP and the RFID card for renting, and if the RFID card is lost and the mobile phone is out of power, a user cannot rent the vehicle before the card is replaced or charged, or the RFID card is picked up by another person for renting the vehicle. The problem that the existing car renting system still has manual links of card opening and card supplementing and the problem that the car cannot identify the identity of a user is reflected. Therefore, the device of the electric automobile needs to be improved, and the intelligence level of the device is improved.
Disclosure of Invention
In order to solve the above problems, an object of the present invention is to provide an electric vehicle leasing management method and system based on iris recognition, which can solve the problems of inconvenient leasing of the existing electric vehicle.
In order to achieve the purpose, the technical scheme of the invention is an electric vehicle leasing management method based on iris recognition, which comprises the following steps:
aligning eyes to iris recognition equipment positioned on a front windshield of an automobile, starting an image acquisition key, shooting human eye images by a digital camera, and outputting digital image signals to a processing unit;
the processing unit records the time T from the closing of the vehicle door to the starting of the acquisition key by the user;
the processing unit transmits the acquired image to the evaluation unit, and the evaluation unit carries out preliminary quality evaluation on the image and evaluates basic parameters of the image;
if the image does not meet the quality requirement, discarding and prompting to obtain the next image again;
if the image meets the requirements, the processing unit extracts and codes the features of the iris of the image;
the processing unit transmits the extracted iris code and the time T to a background management center;
the background management center compares the received characteristic values in a database;
if the matching is unsuccessful, quitting;
if the matching is successful, the background management center judges the request of the user through the time T and the rental state of the vehicle;
if the vehicle renting request is the vehicle renting request, an unlocking signal is sent to the processing unit, the vehicle lock control unit unlocks the door of the electric vehicle for a period of time, if the door is opened by a user within the unlocking time, the background management center binds the user information and the vehicle ID, starts charging and sends a vehicle renting success signal to the processing unit, and the processing unit changes the vehicle state into renting;
if the unlocking request is the unlocking request, an unlocking signal is sent to the processing unit, and the vehicle door is opened by the vehicle lock control unit;
if the request is a car returning request, the background management center detects whether the car is located in a parking area specified by operation;
if the parking area is not in the specified parking area, prompting to return the vehicle again and quit;
if the vehicle is in the specified parking area, a locking signal is sent to the processing unit, the vehicle lock control unit locks the electric vehicle, the fee is settled, the user information and the vehicle ID are unbound, a vehicle returning success signal is sent to the processing unit after the success, the processing unit changes the vehicle state into the state of no lease, and the vehicle returning is completed.
Preferably, if the matching is successful, the background management center judges the request of the user by the time T and the rental state of the vehicle, wherein T is more than a period of time, and if the vehicle state is rentable, the request is a vehicle renting request; if the T is more than a period of time and the vehicle state is in lease, the unlocking request is made; and if T is less than a period of time, the vehicle is a vehicle returning request.
Preferably, the digital camera shoots human eye images, and automatic light supplement is performed under the condition of poor light.
Preferably, the image sensor is of the CMOS type.
Preferably, the processing unit is further connected with the display unit, and displays the shooting picture in real time, prompts the user to shoot again through characters, and displays the iris recognition result and the vehicle state through the characters.
Preferably, the lock control unit automatically locks the doors if the user does not have any operation after all the doors are closed for a certain period of time.
The invention also provides an electric automobile leasing management system based on iris recognition, which comprises a collecting unit, an evaluating unit, a processing unit, a display unit, a lock control unit, a wireless communication unit and a background management center, wherein the processing unit is respectively connected with the collecting unit, the evaluating unit, the display unit, the lock control unit and the wireless communication unit;
the acquisition unit comprises a camera and an image sensor, the camera is used for shooting iris pictures, and the image sensor converts optical images into electronic signals and outputs the electronic signals to the processing unit;
the evaluation unit is used for transmitting the human eye image acquired by the acquisition unit through the processing unit, performing primary quality evaluation on the human eye image, judging whether an effective human eye image is obtained or not, if the effective human eye image is not acquired, feeding a failure signal back to the processing unit, sending a signal to the display unit by the processing unit, and prompting re-shooting by the display unit;
the processing unit extracts the characteristic value of the iris code according to the acquired qualified human eye image, records the time T from the closing of all the vehicle doors to the triggering of an image acquisition key by a user, and transmits the extracted characteristic value and the time T to a background management center through the wireless communication unit;
the background management center is connected with the wireless communication unit and at least comprises a matching module and a comparison module, after the characteristic value transmitted by the wireless communication unit is received, the comparison module compares the characteristic value in a database, and the matching module makes different reactions according to the comparison result;
the display unit is connected with the processing unit and is used for displaying a shooting picture in real time, prompting a user to shoot again through characters, displaying an iris recognition result through the characters and displaying a vehicle state;
the car lock control unit is connected with the processing unit, the processing unit sends an unlocking signal or a locking signal to the car lock control unit, and the car lock control unit controls unlocking, opening and locking of the car door.
Preferably, still include the light filling unit, with processing unit is connected for when the acquisition unit shoots people's eye image, automatic light filling under the not good condition of light.
Preferably, the image sensor is of the CMOS type.
Preferably, the acquisition unit further comprises an image recognition module or a radar module or an infrared module.
Preferably, the wireless communication unit at least comprises a GPS module and a GPRS module, the background management center transmits and obtains the iris information and the vehicle ID information of the user through the GPRS module, and the GPS module obtains the vehicle position information.
The invention has the following beneficial effects: compared with the existing method and system for leasing the electric automobile, the method and the system have the advantages that the problem that the electric automobile cannot be leased due to the fact that a mobile phone is out of power, an RFID card is forgotten to carry, the RFID card is lost, the RFID card is demagnetized and the like is solved, and the problem that the electric automobile is stolen and swiped due to the fact that the card is only recognized but not recognized when the electric automobile is leased is solved.
Drawings
FIG. 1 is a flowchart illustrating steps of a method for managing rental of an electric vehicle based on iris recognition according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an electric vehicle rental management system based on iris recognition according to an embodiment of the present invention.
Detailed Description
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.
On the contrary, the invention is intended to cover alternatives, modifications, equivalents and alternatives which may be included within the spirit and scope of the invention as defined by the appended claims. Furthermore, in the following detailed description of the present invention, certain specific details are set forth in order to provide a better understanding of the present invention. It will be apparent to one skilled in the art that the present invention may be practiced without these specific details.
Referring to fig. 1, a flowchart of steps of an electric vehicle rental management method based on iris recognition according to an embodiment of the present invention includes the following steps:
s101, aligning eyes to iris recognition equipment positioned on a front windshield of an automobile, starting an image acquisition key, shooting human eye images by a digital camera, and outputting digital image signals to a processing unit;
s102, recording the time T from the closing of the vehicle door to the starting of a collection key by a user by a processing unit;
s103, the processing unit transmits the acquired image to an evaluation unit, and the evaluation unit performs preliminary quality evaluation on the image and evaluates basic parameters of the image;
s104, if the image does not meet the quality requirement, discarding and prompting to reacquire the next image;
s105, if the image meets the requirements, the processing unit extracts and codes the features of the iris of the image;
s106, the processing unit transmits the extracted iris code and the time T to a background management center;
s107, the background management center compares the received characteristic values in a database;
s108, if the matching is unsuccessful, quitting;
s109, matching is successful, and the background management center judges the request of the user through the time T and the rental state of the vehicle;
s110, if the car renting request is made, an unlocking signal is sent to a processing unit, a car lock control unit unlocks the electric car door for a period of time (for example, 15-30S, the set specific time can be adjusted according to requirements), if the car door is opened by a user within the unlocking time, a background management center binds the user information and the car ID, starts charging, and sends a car renting success signal to the processing unit, and the processing unit changes the car state into renting;
s111, if the unlocking request is the unlocking request, an unlocking signal is sent to the processing unit, and the vehicle door is opened by the vehicle lock control unit;
s112, if the request is a vehicle returning request, the background management center detects whether the vehicle is located in a parking area specified by operation;
s113, if the vehicle is not in the specified parking area, prompting to return the vehicle again and quit;
and S114, if the vehicle is in the specified parking area, sending a locking signal to the processing unit, locking the electric vehicle by the vehicle lock control unit, settling the fee, unbinding the user information and the vehicle ID, and sending a vehicle returning success signal to the processing unit after the success, wherein the state of the vehicle is changed into the state of no lease by the processing unit, and the vehicle returning is completed.
In a specific embodiment, S109 is successfully matched, the background management center judges the request of the user through the time T and the lease state of the vehicle, wherein if the time T is more than a period of time and the vehicle state is rentable, the request is a vehicle lease request; if the T is more than a period of time and the vehicle state is in lease, the unlocking request is made; and if T is less than a period of time, the vehicle is a vehicle returning request.
S101, shooting a human eye image by a digital camera, and automatically supplementing light under the condition of poor light; the image sensor is of the CMOS type.
The ID of each electric vehicle described in S110 has uniqueness, so that the rental car time is counted and the fee after the rental car is settled.
The processing unit is also connected with the display unit, and displays a shooting picture in real time when the acquisition is carried out in S101, prompts the user to shoot again in S104, shows an iris recognition result in S103 and displays the vehicle state in S109.
In the above steps, after all the vehicle doors are closed for a period of time, if the user does not have any operation, the vehicle lock control unit automatically locks the vehicle doors.
The invention also provides an electric vehicle leasing management system based on iris recognition, which is shown in fig. 2 and comprises a collecting unit 101, an evaluating unit 103, a processing unit 102, a display unit 106, a vehicle lock control unit 107, a wireless communication unit 104 and a background management center 105, wherein the processing unit 102 is respectively connected with the collecting unit 101, the evaluating unit 103, the display unit 106, the vehicle lock control unit 107 and the wireless communication unit 104;
the acquisition unit 101 comprises a camera and an image sensor, wherein the camera is used for shooting an iris picture, and the image sensor converts an optical image into an electronic signal and outputs the electronic signal to the processing unit 102;
the evaluation unit 103 is used for transmitting the human eye image acquired by the acquisition unit 101 through the processing unit 102, performing preliminary quality evaluation on the human eye image, judging whether an effective human eye image is obtained, if the effective human eye image is not acquired, feeding a failure signal back to the processing unit 102, sending a signal to the display unit 106 by the processing unit 102, and prompting re-shooting by the display unit 106;
the processing unit 102 extracts the characteristic value of the iris code according to the acquired qualified human eye image, records the time T from the closing of all the vehicle doors to the triggering of an image acquisition key by a user, and transmits the extracted characteristic value and the time T to the background management center 105 through the wireless communication unit 104;
the background management center 105 is connected with the wireless communication unit 104 and at least comprises a matching module and a comparison module, after receiving the characteristic value transmitted by the wireless communication unit 104, the comparison module compares the characteristic value in a database, and the matching module makes different reactions according to the comparison result;
the display unit 106 is connected with the processing unit 102 and displays a shooting picture, characters to prompt a user to shoot again, characters to display an iris recognition result and a vehicle state in real time;
the vehicle lock control unit 107 is connected to the processing unit 102, the processing unit 102 sends an unlocking signal or a locking signal to the vehicle lock control unit 107, and the vehicle lock control unit 107 controls unlocking and locking of the vehicle door.
In a specific embodiment, the device further includes a light supplement unit connected to the processing unit 102, and configured to automatically supplement light when the acquisition unit 101 captures the eye image, and the light is not good. The image sensor is of the CMOS type.
The acquisition unit 101 further includes an image recognition module, a radar module, or an infrared module, which detects, senses, or senses infrared rays of the acquired iris image, and gives a voice prompt or a distance bar movement prompt to the user, and in the following embodiments, when the acquired iris image is used for prompting, the acquired iris image is displayed on a screen, and the user can adjust up, down, left, and right according to the position of the iris image; when positioning is carried out by radar or infrared induction, the distance and the position of a user relative to the acquisition unit 101 can be measured, the distance and the position are compared with the standard distance and the position preset in the data processing unit 102, a prompt is given to the user, and the prompt is given by voice for prompting the user to move forwards, backwards, leftwards and rightwards or to lift, put down, move leftwards and move rightwards by using a distance rod.
The wireless communication unit 104 at least comprises a GPS module and a GPRS module, the background management center 105 obtains the user iris information and the vehicle ID information through the GPRS module transmission, and obtains the vehicle position information through the GPS module.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (11)
1. The electric vehicle leasing management method based on iris recognition is characterized by comprising the following steps of: aligning eyes to iris recognition equipment positioned on a front windshield of an automobile, starting an image acquisition key, shooting human eye images by a digital camera, and outputting digital image signals to a processing unit;
the processing unit records the time T from the closing of the vehicle door to the starting of the acquisition key by the user;
the processing unit transmits the acquired image to the evaluation unit, and the evaluation unit carries out preliminary quality evaluation on the image and evaluates basic parameters of the image;
if the image does not meet the quality requirement, discarding and prompting to obtain the next image again;
if the image meets the requirements, the processing unit extracts and codes the features of the iris of the image;
the processing unit transmits the extracted iris code and the time T to a background management center;
the background management center compares the received characteristic values in a database;
if the matching is unsuccessful, quitting;
if the matching is successful, the background management center judges the request of the user through the time T and the rental state of the vehicle;
the system firstly detects that iris recognition judges that the vehicle is a vehicle renting request, an unlocking signal is sent to a processing unit, a vehicle lock control unit unlocks a vehicle door of the electric vehicle for a period of time, if a user opens the vehicle door within the unlocking time, a background management center binds user information and a vehicle ID, charging is started, a vehicle renting success signal is sent to the processing unit, and the processing unit changes the vehicle state into renting;
the vehicle-mounted system stops temporarily, the vehicle-mounted system does not confirm returning of the vehicle, the system considers that the same iris scans the iris again in the lease and then considers that an unlocking request is received, an unlocking signal is sent to the processing unit, and the vehicle door is opened by the vehicle lock control unit;
after the vehicle is parked and confirmed to return, closing the vehicle door and scanning the iris;
the system considers the vehicle returning request, and the background management center detects whether the vehicle is located in a parking area specified by operation;
if the parking area is not in the specified parking area, prompting to return the vehicle again and quit;
if the vehicle is in the specified parking area, a locking signal is sent to the processing unit, the vehicle lock control unit locks the electric vehicle, the fee is settled, the user information and the vehicle ID are unbound, a vehicle returning success signal is sent to the processing unit after the success, the processing unit changes the vehicle state into the state of no lease, and the vehicle returning is completed.
2. The method of claim 1, wherein if the matching is successful, the background management center determines the request of the user by comparing the time T and the rental status of the vehicle, wherein T is greater than a period of time, and if the vehicle status is rentable, the vehicle is a vehicle renting request;
if the T is more than a period of time and the vehicle state is in lease, the unlocking request is made; and if T is less than a period of time, the vehicle is a vehicle returning request.
3. The method of claim 1, wherein the digital camera takes an image of the human eye and automatically supplements the light in the case of poor light.
4. The method of claim 1, wherein the image sensor is CMOS based.
5. The method as claimed in claim 1, wherein the processing unit is further connected with a display unit for displaying the shot picture, the characters for prompting the user to shoot again, the characters for displaying the iris recognition result and the vehicle state in real time.
6. The method of claim 1, wherein the door is automatically locked by the lock control unit if the user does not have any action after all doors have been closed for a period of time.
7. The system adopting the electric vehicle leasing management method based on iris recognition as claimed in one of claims 1-6, which is characterized by comprising a collecting unit, an evaluating unit, a processing unit, a display unit, a vehicle lock control unit, a wireless communication unit and a background management center, wherein the processing unit is respectively connected with the collecting unit, the evaluating unit, the display unit, the vehicle lock control unit and the wireless communication unit;
the acquisition unit comprises a camera and an image sensor, the camera is used for shooting iris pictures, and the image sensor converts optical images into electronic signals and outputs the electronic signals to the processing unit;
the evaluation unit is used for transmitting the human eye image acquired by the acquisition unit through the processing unit, performing primary quality evaluation on the human eye image, judging whether an effective human eye image is obtained or not, if the effective human eye image is not acquired, feeding a failure signal back to the processing unit, sending a signal to the display unit by the processing unit, and prompting re-shooting by the display unit;
the processing unit extracts the characteristic value of the iris code according to the acquired qualified human eye image, records the time T from the closing of all the vehicle doors to the triggering of an image acquisition key by a user, and transmits the extracted characteristic value and the time T to a background management center through the wireless communication unit;
the background management center is connected with the wireless communication unit and at least comprises a matching module and a comparison module, after the characteristic value transmitted by the wireless communication unit is received, the comparison module compares the characteristic value in a database, and the matching module makes different reactions according to the comparison result;
the display unit is connected with the processing unit and is used for displaying a shooting picture in real time, prompting a user to shoot again through characters, displaying an iris recognition result through the characters and displaying a vehicle state;
the car lock control unit is connected with the processing unit, the processing unit sends an unlocking signal or a locking signal to the car lock control unit, and the car lock control unit controls unlocking, opening and locking of the car door.
8. The system of claim 7, further comprising a light supplement unit connected to the processing unit for automatically supplementing light when the light is not good when the image of the human eye is captured by the capture unit.
9. The system of claim 7, wherein the image sensor is CMOS-based.
10. The system of claim 7, wherein the acquisition unit further comprises an image recognition module or a radar module or an infrared module.
11. The system of claim 7, wherein the wireless communication unit at least comprises a GPS module and a background management center of the wireless transmission module, wherein iris information and vehicle ID information of a user are obtained through transmission of the GPRS module, and vehicle position information is obtained through the GPS module.
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