CN114999041A - Intelligent parking safety monitoring system and method based on artificial intelligence - Google Patents
Intelligent parking safety monitoring system and method based on artificial intelligence Download PDFInfo
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- CN114999041A CN114999041A CN202210512048.5A CN202210512048A CN114999041A CN 114999041 A CN114999041 A CN 114999041A CN 202210512048 A CN202210512048 A CN 202210512048A CN 114999041 A CN114999041 A CN 114999041A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/20—Individual registration on entry or exit involving the use of a pass
- G07C9/22—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder
- G07C9/25—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition
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Abstract
The invention relates to the technical field of intelligent parking monitoring, and particularly discloses an intelligent parking safety monitoring system and method based on artificial intelligence, wherein the system comprises an image acquisition module, a data acquisition module and a data processing module, wherein the image acquisition module is used for acquiring a current image at a gate when a vehicle exits from a parking lot; the recognition module is used for extracting current license plate information and current portrait information from a current image; the device also comprises a communication module and a control module; the recognition module is used for matching preset license plate information based on the current license plate information and matching preset face information based on the current face information; when the image and the image are matched successfully, the identification module further judges whether the current time is in the safe mode starting time, if so, the identification module is further used for judging whether the current image comprises an alarm indicating behavior, and if so, alarm information is generated.
Description
Technical Field
The invention relates to the technical field of parking lot monitoring, in particular to an intelligent parking safety monitoring system and method based on artificial intelligence.
Background
At present, in a parking lot system, the identity of a vehicle owner is generally determined by swiping an IC card or recognizing a license plate by a camera, a brake is automatically controlled to be opened, and vehicles are released; the IC card swiping method needs a car owner to manually swipe the card, so that the operation is troublesome, and in addition, if the IC card is lost, the car owner can pass through the IC card after the IC card is processed by a manager, so that the IC card swiping method is very inconvenient; if the vehicle in the parking lot is stolen, the vehicle can be freely driven out of the parking lot as long as the stolen person has the IC card; similarly, the license plate is identified by the camera, so that the vehicle can be identified without identifying people, and the effective theft prevention cannot be realized.
To this end, chinese patent publication No. CN103390300A discloses a parking lot management system, which includes a gate installed at an entrance/exit of a parking lot, a camera for capturing video images at the entrance/exit of the parking lot, an alarm device for emitting an audible and visual alarm signal, and a control system for analyzing and processing vehicle information and face information of vehicles entering/exiting the parking lot captured by the camera and matching the vehicle information of vehicles exiting the parking lot with vehicle information and face information of vehicles entering the parking lot. This parking area management system matches the vehicle information of the vehicle that will roll off the parking area with the vehicle information and the people's face information of the vehicle that gets into the parking area, keeps the floodgate gate to pull up when the matching is successful and passes through in order to let pass through the vehicle, need not through actions such as putting the floodgate, punching the card, switching off to have quick, efficient advantage, can effectively prevent through face identification in addition that the vehicle in the parking area is stolen.
However, in the above scheme, as long as the owner can be captured the face by the camera, it is determined that there is no safety risk, but the situation that the owner is not willing to take the vehicle out of the parking lot due to being clamped cannot be distinguished, and it is difficult to ensure the safety of the owner and the vehicle comprehensively.
Therefore, there is a need for an intelligent parking safety monitoring system and method based on artificial intelligence, which can recognize that the owner of the vehicle will not want to exit the vehicle from the parking lot.
Disclosure of Invention
The invention provides an intelligent parking safety monitoring system and method based on artificial intelligence, which can identify the condition that an owner does not intend to drive a vehicle out of a parking lot.
In order to solve the technical problem, the present application provides the following technical solutions:
an intelligent parking safety monitoring system based on artificial intelligence comprises an image acquisition module, a monitoring module and a monitoring module, wherein the image acquisition module is used for acquiring a current image at a gate when a vehicle exits from a parking lot; the recognition module is used for extracting current license plate information and current portrait information from a current image;
the device also comprises a communication module and a control module;
the communication module is used for receiving vehicle owner basic information and safety mode setting information, wherein the vehicle owner basic information comprises preset license plate information and preset face information; the safety mode setting information comprises safety mode starting time and alarm indicating behaviors;
the recognition module is also used for matching preset license plate information based on the current license plate information and matching preset face information based on the current face information; when the image acquisition module and the image acquisition module are successfully matched, the identification module also judges whether the current time is in the safe mode starting time, if so, the identification module is also used for judging whether the current image comprises an alarm indicating behavior, and if not, a release instruction is generated; if yes, generating alarm information; the control module is used for controlling the gate switch to be opened when receiving the release instruction.
The basic scheme principle and the beneficial effects are as follows:
in the scheme, the received basic information of the vehicle owner and the setting information of the safety mode can be known about the setting of the opening time of the safety mode and the alarm indicating behavior of the vehicle owner.
When a vehicle is about to exit from a parking lot, the current image at the gate is collected, the current license plate information and the current portrait information in the current image are extracted based on the principle of mode recognition in artificial intelligence, and are respectively matched with the preset license plate information and the preset face information, so that the result can be quickly obtained. When the two are successfully matched, if the image is in the safe mode opening time, whether the current image comprises the alarm indicating behavior is judged. If the car owner is not self intention at this moment and drives the vehicle out of the parking lot, the car owner can make the alarm signaling behavior, the safety mode setting information is only known by the car owner, and other people cannot know the alarm signaling behavior, so that the car owner can not be aware of the alarm signaling behavior. In other words, the alarm action can be completed in the absence of noise, the safety of the car owner is effectively guaranteed, and meanwhile, the others are prevented from being surprised.
To sum up, this scheme can discern the condition that the car owner does not self wish to roll the vehicle out of the parking area to in time report to the police, the degree of safety is high.
Further, the identification module is used for judging whether the current position of the vehicle owner is in the driver seat or not when the current face information is successfully matched with the preset face information, and generating a get-off verification instruction if the current position of the vehicle owner is not in the driver seat;
the system also comprises a display module used for displaying get-off reminding information after receiving the get-off verification instruction.
When the car owner is not in the driver's seat, the possibility that the vehicle is driven out of the parking lot by non-self intentions such as being held by the arms is higher, the getting-off reminding information is displayed, the car owner can get off to verify, and if the car owner has danger at the moment, the car owner can get off to give the chance that the car owner escapes.
Further, the safety mode setting information also comprises alarm indicating voice;
the system also comprises an interaction module which is used for collecting the current voice information of the vehicle owner after the vehicle owner gets off the vehicle, judging whether the current voice information contains alarm indicating voice or not, and if so, generating alarm information.
If the owner is held, the owner can speak out the alarm indicating voice when the owner gets off the vehicle and carries out face verification again, so that the aim of alarming is fulfilled. The warning signal voice is only known by the vehicle owner, and other people cannot know the warning signal voice, so that the warning action of the vehicle owner cannot be perceived.
Further, the interaction module is further used for collecting portrait information within a preset distance, matching the portrait information within the preset distance with preset face information, and if matching is successful and the current voice information does not contain alarm indicating voice, generating a release instruction.
Only the portrait information within the preset distance is collected, and the vehicle owner has to get off the vehicle to recognize the face.
Further, the basic information of the vehicle owner also comprises a reserved communication mode, the recognition module is also used for generating verification information when the matching of the current face information and the preset face information fails, and the communication module also sends the verification information based on the reserved communication mode;
the identification module also judges whether the communication module receives the reply information within a preset time, and if the reply information is not received, alarm information is generated; if the reply information is received, the identification module is also used for analyzing the content of the reply information, if the content contains the releasing keyword, a releasing instruction is generated, and if the content contains the alarm keyword, alarm information is generated.
The car owner still has the condition of borrowing the car for friend, if must the car owner just can open the floodgate close at the scene, very inconvenient. Therefore, when the owner of the vehicle borrows the vehicle to other people voluntarily, authorization can be carried out in a mode of replying information.
Further, the interaction module is also used for judging whether an alarm input signal is received or not, and if so, generating alarm information.
The vehicle owner can also alarm in a mode of directly inputting the alarm input signal, and the alarm modes are multiple, so that the vehicle owner can conveniently select the alarm mode according to the actual condition.
Further, the preset distance is 15-40 cm.
A smart parking safety monitoring method based on artificial intelligence uses the smart parking safety monitoring system based on artificial intelligence.
In the scheme, the received basic information of the vehicle owner and the setting information of the safety mode can be known about the setting of the opening time of the safety mode and the alarm indicating behavior of the vehicle owner.
When a vehicle is about to exit from a parking lot, a current image at a gate is collected, current license plate information and current portrait information in the current image are extracted based on a mode recognition principle in artificial intelligence, and are respectively matched with preset license plate information and preset face information, so that a result can be quickly obtained. When the two are successfully matched, if the image is in the safe mode opening time, whether the current image comprises the alarm indicating behavior is judged. If the car owner is not self intention at this moment and drives the vehicle out of the parking lot, the car owner can make the alarm signaling behavior, the safety mode setting information is only known by the car owner, and other people cannot know the alarm signaling behavior, so that the car owner can not be aware of the alarm signaling behavior. In other words, the alarm action can be completed in the absence of noise, the safety of the car owner is effectively guaranteed, and meanwhile, the others are prevented from being surprised.
To sum up, this scheme can discern the condition that the car owner does not self wish to roll the vehicle out of the parking area to in time report to the police, the degree of safety is high.
Drawings
Fig. 1 is a logic block diagram of an intelligent parking safety monitoring system based on artificial intelligence according to an embodiment.
Detailed Description
The following is further detailed by way of specific embodiments:
example one
As shown in fig. 1, the intelligent parking safety monitoring system based on artificial intelligence of the present embodiment includes a communication module, an image acquisition module, an identification module, a control module, a display module, and an interaction module.
The communication module is used for receiving vehicle owner basic information and safety mode setting information, wherein the vehicle owner basic information comprises a reserved communication mode, preset license plate information and preset face information; the security mode setting information includes security mode on time, alarm signaling behavior, and alarm signaling voice.
In this embodiment, the owner's basic information and the security mode setting information may be entered by the owner on his/her mobile phone and sent to the communication module. In this embodiment, the alert gesture behavior refers to a particular gesture or gesture, such as placing a hand around the neck, swiping a "OK" with the hand, etc., and the alert gesture voice refers to a particular word or sentence, such as "i am somewhat awkward".
In this embodiment, the image acquisition module adopts the camera, fixes at the parking area access & exit, and the image acquisition module is used for when the vehicle exits the parking area, gathers the current image of floodgate gate department. Of course, the image acquisition module may also acquire an image of the gate when the vehicle enters the parking lot, and this part is not the key point of this embodiment and is not described herein again.
The identification module is used for extracting current license plate information and current portrait information from a current image; matching preset license plate information based on the current license plate information and matching preset face information based on the current face information; when the vehicle owner is successfully matched with the vehicle owner, the identification module also judges whether the current position of the vehicle owner is in a driver seat, and if the current position of the vehicle owner is not in the driver seat, a get-off verification instruction is generated; if the driver seat is in the driving seat, the identification module is also used for judging whether the current time is in the safe mode starting time or not, if so, the identification module is also used for judging whether the current image comprises an alarm indicating behavior or not, and if not, a release instruction is generated; and if the alarm information is contained, generating alarm information.
The display module is used for displaying get-off reminding information after receiving the get-off verification instruction. In this embodiment, the get-off reminding information is: if the face cannot be identified, the user asks to get off the vehicle for re-identification. If dangerous condition happens, people in the vehicle can be puzzled, and the vehicle owner can be put away and get off the vehicle.
The interaction module is used for collecting the current voice information of the vehicle owner after the vehicle owner gets off, judging whether the current voice information contains alarm indicating voice or not, and if yes, generating alarm information. In this embodiment, the interactive module is an interactive terminal disposed beside the gate switch, and is equipped with a camera, a microphone, a touch screen, and an alarm button.
The interaction module is also used for acquiring portrait information within a preset distance, matching the portrait information within the preset distance with preset face information, and if the matching is successful and the current voice information does not contain alarm signaling voice, generating a release instruction. In this embodiment, the predetermined distance is 15-40 cm.
The interaction module is also used for judging whether an alarm input signal is received or not, and if so, generating alarm information. The alarm input signal can be input by the owner in the touch screen or can be generated after the owner presses the alarm button.
The identification module is further used for generating verification information when the matching of the current face information and the preset face information fails, and the communication module is further used for sending the verification information based on a reserved communication mode. The reserved communication mode can be a reserved mobile phone number, the corresponding sent verification information is a mobile phone short message, the corresponding sent verification information can also be bound social software such as WeChat, QQ and nailing, and the corresponding sent verification information is a WeChat message, QQ message or nailing message.
The identification module also judges whether the communication module receives the reply information within a preset time, and if the reply information is not received, alarm information is generated; if the reply information is received, the identification module is also used for analyzing the content of the reply information, if the content contains the releasing keyword, a releasing instruction is generated, and if the content contains the alarming keyword, alarming information is generated. In this embodiment, the preset time is 2 minutes. The release keywords are, for example: grant release, open gate, grant, etc.; alarm keywords are for example: theft, alarm, etc.
The control module is used for controlling the gate to be opened when receiving the release instruction.
In this embodiment, still include the management terminal that parking area security personnel used, communication module still is used for sending alarm information to management terminal. And after receiving the alarm information, security personnel can process the alarm information in time.
The intelligent parking safety monitoring method based on artificial intelligence in the embodiment adopts the intelligent parking safety monitoring system based on artificial intelligence.
Example two
The difference between this embodiment and the first embodiment is that, in the intelligent parking safety monitoring system based on artificial intelligence of this embodiment, the safety mode setting information further includes a safety signaling confirmation behavior.
The identification module is used for judging whether the vehicle owner makes a safety schematic behavior based on the current image after the display module displays the getting-off reminding information, if the safety schematic behavior is made, the identification module is also used for calculating whether the time from the display of the getting-off reminding information to the occurrence of the safety schematic behavior exceeds a threshold value, and if the time does not exceed the threshold value, the identification module is marked to meet a first condition; the threshold is 3-6 seconds, in this example 5 seconds.
The identification module also judges whether the vehicle owner communicates with other personnel in the vehicle before making a safety schematic behavior based on the current image, and if the vehicle owner does not communicate with other personnel in the vehicle, the identification module is marked to meet a second condition;
and when the condition one and the condition two are simultaneously met, the identification module generates a release instruction. And when the condition one and the condition two cannot be simultaneously met, the get-off verification instruction is generated again.
Under the condition that the owner is in safety, if the owner is not in the driver's seat, such as a copilot position, the owner is required to get off the vehicle for verification, and the owner is very cumbersome. There is therefore a need for a method of eliminating the alighting verification step while ensuring security. In this embodiment, the owner may set in advance a safety signaling confirmation behavior to indicate that the owner is currently in a safe state.
However, in a scene that the owner of the vehicle is forced by a person, other persons may apply pressure to the owner of the vehicle, so that the owner of the vehicle may voluntarily make a safety indication confirmation behavior. The pressure applied to the vehicle owner by other people in the vehicle is eliminated, and the hesitation of the vehicle owner when external pressure exists can also be eliminated.
The intelligent parking safety monitoring method based on artificial intelligence in the embodiment adopts the intelligent parking safety monitoring system based on artificial intelligence.
The above are merely examples of the present invention, and the present invention is not limited to the field related to this embodiment, and the common general knowledge of the known specific structures and characteristics in the schemes is not described herein too much, and those skilled in the art can know all the common technical knowledge in the technical field before the application date or the priority date, can know all the prior art in this field, and have the ability to apply the conventional experimental means before this date, and those skilled in the art can combine their own ability to perfect and implement the scheme, and some typical known structures or known methods should not become barriers to the implementation of the present invention by those skilled in the art in light of the teaching provided in the present application. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several variations and modifications can be made, which should also be considered as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the utility of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (8)
1. An intelligent parking safety monitoring system based on artificial intelligence comprises an image acquisition module, a monitoring module and a monitoring module, wherein the image acquisition module is used for acquiring a current image at a gate when a vehicle exits from a parking lot; the recognition module is used for extracting current license plate information and current portrait information from a current image;
the system is characterized by also comprising a communication module and a control module;
the communication module is used for receiving vehicle owner basic information and safety mode setting information, wherein the vehicle owner basic information comprises preset license plate information and preset face information; the safety mode setting information comprises safety mode starting time and alarm indicating behaviors;
the recognition module is also used for matching preset license plate information based on the current license plate information and matching preset face information based on the current face information; when the image matching is successful, the identification module further judges whether the current time is in the safe mode starting time, if so, the identification module is further used for judging whether the current image comprises an alarm indicating behavior, and if not, a release instruction is generated; if yes, generating alarm information; the control module is used for controlling the gate switch to be opened when receiving the release instruction.
2. The intelligent parking safety monitoring system based on artificial intelligence of claim 1, wherein: the recognition module is used for judging whether the current position of the vehicle owner is in the driver seat or not when the current face information is successfully matched with the preset face information, and generating a get-off verification instruction if the current position of the vehicle owner is not in the driver seat;
the system also comprises a display module used for displaying get-off reminding information after receiving the get-off verification instruction.
3. The intelligent parking safety monitoring system based on artificial intelligence of claim 2, wherein: the safety mode setting information also comprises alarm indicating voice;
the intelligent alarm system is characterized by further comprising an interaction module, wherein the interaction module is used for collecting current voice information of the vehicle owner after the vehicle owner gets off, judging whether the current voice information contains alarm indicating voice, and if the current voice information contains the alarm indicating voice, generating alarm information.
4. The intelligent parking safety monitoring system based on artificial intelligence of claim 3, wherein: the interaction module is further used for collecting portrait information within a preset distance, matching the portrait information within the preset distance with preset face information, and if matching is successful and the current voice information does not contain alarm indicating voice, generating a release instruction.
5. The intelligent parking safety monitoring system based on artificial intelligence of claim 4, wherein: the vehicle owner basic information further comprises a reserved communication mode, the recognition module is further used for generating verification information when the matching of the current face information and the preset face information fails, and the communication module is further used for sending the verification information based on the reserved communication mode;
the identification module also judges whether the communication module receives the reply information within the preset time, and generates alarm information if the communication module does not receive the reply information; if the reply information is received, the identification module is also used for analyzing the content of the reply information, if the content contains the releasing keyword, a releasing instruction is generated, and if the content contains the alarming keyword, alarming information is generated.
6. The intelligent parking safety monitoring system based on artificial intelligence of claim 5, wherein: the interaction module is also used for judging whether an alarm input signal is received or not, and if so, generating alarm information.
7. The intelligent parking safety monitoring system based on artificial intelligence of claim 6, wherein: the preset distance is 15-40 cm.
8. An intelligent parking safety monitoring method based on artificial intelligence, which is characterized in that the intelligent parking safety monitoring system based on artificial intelligence of any one of claims 1-7 is used.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210512048.5A CN114999041A (en) | 2022-04-22 | 2022-04-22 | Intelligent parking safety monitoring system and method based on artificial intelligence |
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| CN202210512048.5A CN114999041A (en) | 2022-04-22 | 2022-04-22 | Intelligent parking safety monitoring system and method based on artificial intelligence |
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| CN114999041A true CN114999041A (en) | 2022-09-02 |
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