CN113554893A - Parking space early warning method, equipment and medium based on artificial intelligence - Google Patents
Parking space early warning method, equipment and medium based on artificial intelligence Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 46
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 40
- 238000012544 monitoring process Methods 0.000 claims abstract description 10
- 238000010801 machine learning Methods 0.000 claims description 9
- 238000012545 processing Methods 0.000 claims description 9
- 238000012806 monitoring device Methods 0.000 claims description 8
- 238000012549 training Methods 0.000 claims description 3
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
- G08G1/145—Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas
- G08G1/148—Management of a network of parking areas
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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
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
Abstract
The invention discloses a parking space early warning method, equipment and a medium based on artificial intelligence, wherein the scheme comprises the following steps: identifying vehicle information and license plate information of the parked vehicle from the video information of the parked vehicle through a pre-trained artificial intelligence algorithm model based on the video information of the parked vehicle acquired by the monitoring equipment; judging whether the information of the parked vehicle is consistent with the information of the parking space owner and the information of the license plate of the parked vehicle is consistent with the information of the parking space owner or not according to the information of the parking space owner and the information of the license plate corresponding to the pre-collected information of the parking space; and if the information of the parked vehicle is judged to be inconsistent with the information of the parking space owner and the license plate information of the parked vehicle is judged to be inconsistent with the license plate information of the parking space owner, the parked vehicle is correspondingly processed. The parking space early warning is carried out when the parking space is occupied, the problem that the parking space is maliciously occupied is effectively solved, and the situation that a parking space owner needs to wait for a long time to occupy the parking space to move when parking is avoided.
Description
Technical Field
The embodiment of the specification relates to the field of artificial intelligence, in particular to a parking space early warning method, equipment and a medium based on artificial intelligence.
Background
At present, artificial intelligence is in a rapid development period, artificial intelligence technology permeates various industries in all aspects, and intelligence is a future development trend.
In recent years, parking spaces in communities are short, especially in front-line cities, the parking spaces are high in price, some people do not buy or rent the parking spaces, the parking spaces are often occupied maliciously when other owners are not available, when parking space owners need to park, managers need to be contacted to deal with the problem of occupying the parking spaces, the managers inform the people occupying the parking spaces to move the vehicles in the front, and the people occupying the parking spaces can wait for a long time to move the vehicles. The problem that parking spaces of a community are maliciously occupied brings great troubles to a plurality of parking space owners, and inconvenience in life is caused.
Therefore, how to timely inform the parking space owner when the parking space is maliciously occupied is a technical problem which needs to be solved urgently.
Disclosure of Invention
The embodiment of the specification provides a parking space early warning method, equipment and a medium based on artificial intelligence, and is used for solving the following technical problems in the prior art:
the parking space is maliciously occupied, and the parking space owner suffers from rights and interests and cannot use the parking space as required when parking is required.
In order to solve the above technical problem, the embodiments of the present specification are implemented as follows:
on the one hand, this specification embodiment provides a parking stall early warning method based on artificial intelligence, includes: identifying vehicle information and license plate information of a parked vehicle from video information of the parked vehicle through a pre-trained artificial intelligence algorithm model based on the video information of the parked vehicle collected by a monitoring device; judging whether the vehicle information of the parked vehicle is consistent with the vehicle information of the parking space owner and whether the license plate information of the parked vehicle is consistent with the license plate information of the parking space owner or not according to the vehicle information and the license plate information of the parking space owner corresponding to the pre-collected parking space information; and if the information of the parked vehicle is judged to be inconsistent with the information of the parking space owner and the license plate information of the parked vehicle is judged to be inconsistent with the license plate information of the parking space owner, the parked vehicle is correspondingly processed.
In one embodiment, before determining whether the vehicle information of the parked vehicle is consistent with the vehicle information of the parking space owner and the license plate information of the parked vehicle is consistent with the license plate information of the parking space owner, the method further includes: the method comprises the steps of collecting vehicle information of a parking space owner and license plate information of the parking space owner, and binding the parking space information with the vehicle information of the parking space owner and the license plate information of the parking space owner.
In one embodiment, if it is determined that the vehicle information of the parked vehicle is inconsistent with the vehicle information of the parking space owner, and the license plate information of the parked vehicle is inconsistent with the license plate information of the parking space owner, the method further includes: and acquiring information of a driver and passengers in the parked vehicle, and if the driver and the passengers have the parking space owner or pre-registered relatives of the parking space owner, determining that the parked vehicle is normally parked.
In one embodiment, if the license plate of the parked vehicle is partially occluded, the entire license plate information cannot be identified from the video information of the parked vehicle through the artificial intelligence algorithm model, and the method further comprises: and identifying the unshielded license plate of the parked vehicle, and if the license plate information of the unshielded part is the same as the license plate information of the part corresponding to the parking space owner, determining that the parked vehicle is normally parked.
In one embodiment, before the performing the respective processing on the parked vehicle, the method further comprises: and acquiring video information of the parked vehicles acquired by the monitoring equipment, and storing the video information of the parked vehicles occupying the parking spaces of the parking space owners as evidence.
In one embodiment, the performing corresponding processing on the parked vehicle specifically includes: and calling a network short message module, and sending a parking space early warning short message to the parking space owner, wherein the parking space early warning short message comprises information of the vehicle owner bound with the parked vehicle, parking time of the parked vehicle and the parking space information.
In one embodiment, after the respective processing of the parked vehicle, the method further comprises: obtaining the time for the parked vehicle to run out of the parking space owner based on the video information of the parked vehicle, which is acquired by the monitoring equipment; obtaining the time length of occupying the parking space of the parking space owner based on the parking time of the parked vehicle and the time of the parked vehicle running out of the parking space owner; and taking corresponding punishment measures according to the time length of occupying the parking space of the parking space owner based on a preset parking space punishment rule.
In one embodiment, before the identifying the vehicle information and the license plate information of the parked vehicle from the video information of the parked vehicle through the pre-trained artificial intelligence algorithm model, the method further comprises: pre-training by using a specified data set to obtain a machine learning model; and inputting data information of the first data set into the machine learning model, and finely adjusting the machine learning model to obtain the artificial intelligence algorithm model.
On the other hand, this specification embodiment provides a parking stall early warning equipment based on artificial intelligence, includes: 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: identifying vehicle information and license plate information of a parked vehicle from video information of the parked vehicle through a pre-trained artificial intelligence algorithm model based on the video information of the parked vehicle collected by a monitoring device; judging whether the vehicle information of the parked vehicle is consistent with the vehicle information of the parking space owner and whether the license plate information of the parked vehicle is consistent with the license plate information of the parking space owner or not according to the vehicle information and the license plate information of the parking space owner corresponding to the pre-collected parking space information; and if the information of the parked vehicle is judged to be inconsistent with the information of the parking space owner and the license plate information of the parked vehicle is judged to be inconsistent with the license plate information of the parking space owner, the parked vehicle is correspondingly processed.
The embodiment of the specification can achieve the following beneficial effects by adopting at least one technical scheme: the parking space early warning is carried out when the parking space is occupied, the problem that the parking space is maliciously occupied is effectively solved, the situation that a parking space owner needs to wait for a long time to occupy the parking space to move when parking is avoided, and the rights and interests of the parking space owner are protected.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the disclosure and are incorporated in and constitute a part of this disclosure, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure and not to limit the disclosure in any way. In the drawings:
fig. 1 is a schematic flow chart of a parking space early warning method based on artificial intelligence provided in an embodiment of the present application;
fig. 2 is a schematic structural diagram of a parking space early warning device based on artificial intelligence provided by an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present disclosure more clear, the following description of the present disclosure will be made in detail and completely with reference to the embodiments of the present disclosure and the accompanying drawings. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments obtained by a person skilled in the art without making any inventive step based on the embodiments in the description belong to the protection scope of the present application.
The embodiment of the application provides a parking space early warning method, equipment and a medium based on artificial intelligence, which are specifically explained as follows:
fig. 1 is a schematic flow diagram of a parking space early warning method based on artificial intelligence provided in an embodiment of the present application, and as shown in fig. 1, the parking space early warning method based on artificial intelligence provided in an embodiment of the present application may include the following steps:
s101: based on video information of a parked vehicle acquired by monitoring equipment, vehicle information and license plate information of the parked vehicle are identified from the video information of the parked vehicle through a pre-trained artificial intelligence algorithm model.
Firstly, vehicle information of a parked vehicle in a parking space needs to be collected, video information of the parked vehicle can be collected through monitoring equipment such as a camera, picture information of the parked vehicle can also be collected through the monitoring equipment such as a camera, and other collection modes can also be adopted.
The method comprises the steps of obtaining video information of parked vehicles, and identifying vehicle information and license plate information of the parked vehicles from the collected video information of the parked vehicles through a pre-trained artificial intelligence algorithm model. The vehicle information may include vehicle body information such as a brand of the vehicle, a model of the vehicle, a color of the vehicle, a size of the vehicle, and the like; the license plate information may be a picture of the license plate or a license plate number.
S102: and judging whether the vehicle information of the parked vehicle is consistent with the vehicle information of the parking space owner and whether the license plate information of the parked vehicle is consistent with the license plate information of the parking space owner or not according to the vehicle information and the license plate information of the parking space owner corresponding to the pre-collected parking space information.
Whether the parked vehicle is the parking space owner or not can be judged by judging whether the information of the parked vehicle is consistent with the information of the parking space owner and whether the information of the license plate of the parked vehicle is consistent with the information of the license plate of the parking space owner or not. In consideration of ensuring the accuracy of the judgment result, it is judged whether the information of the parked vehicle is consistent with the information of the parking space owner or not, and whether the information of the license plate of the parked vehicle is consistent with the information of the license plate of the parking space owner or not.
S103: and if the information of the parked vehicle is judged to be inconsistent with the information of the parking space owner and the license plate information of the parked vehicle is judged to be inconsistent with the license plate information of the parking space owner, the parked vehicle is correspondingly processed.
If the parked vehicle is found not to be the parking space owner through judgment, the parked vehicle is determined to maliciously occupy the parking space, and corresponding treatment needs to be carried out on the parked vehicle.
In some embodiments of the present specification, the performing corresponding processing on the parked vehicle specifically includes: and calling a network short message module, and sending a parking space early warning short message to the parking space owner, wherein the parking space early warning short message comprises information of the vehicle owner bound with the parked vehicle, parking time of the parked vehicle and the parking space information.
It should be noted that, in general, all vehicles entering and exiting the garage are counted in a cell, and in the present invention, the vehicle information of all vehicles entering and exiting the garage, the license plate information of the vehicles entering and exiting the garage, and the information of the corresponding vehicle owners need to be collected, and the vehicle information of all vehicles entering and exiting the garage, the license plate information of the vehicles entering and exiting the garage, and the information of the corresponding vehicle owners are bound one by one.
The parking space early warning message content comprises information of a vehicle owner bound with a parked vehicle, the information of the vehicle owner bound with the parked vehicle can be the name and the telephone number of a person who maliciously seizes a parking space, the parking space owner can dial the telephone number to warn after receiving the parking space early warning information, the parking space owner is required to move the parking space as soon as possible, the parking space owner can be conveniently and directly contacted with the person who maliciously seizes the parking space, preferably the parking space owner is contacted through a virtual number, and therefore the parking space owner can rightfully protect own rights and interests.
It should be noted that, corresponding processing is carried out to the parked vehicle, and the information of the parked vehicle occupying the parking space can be understood as being sent to the parking space owner, so as to remind the parking space owner that the parking space is occupied, the reminding form can be through the above-mentioned calling network short message module, sending parking space early warning short messages to the parking space owner, and also can be notified through media such as a WeChat applet, an APP and the like or other modes.
In some embodiments of the present specification, before determining whether the vehicle information of the parked vehicle is consistent with the vehicle information of the parking space owner and whether the license plate information of the parked vehicle is consistent with the license plate information of the parking space owner, the method further includes: the method comprises the steps of collecting vehicle information of a parking space owner and license plate information of the parking space owner, and binding the parking space information with the vehicle information of the parking space owner and the license plate information of the parking space owner.
The parking space information is bound with the vehicle information of the parking space owner and the license plate information of the parking space owner, so that whether the parked vehicle is the parking space owner or not can be judged, and whether the phenomenon that the parking space is maliciously occupied or not is judged.
In some embodiments of the present specification, if it is determined that the vehicle information of the parked vehicle is inconsistent with the vehicle information of the parking space owner, and the license plate information of the parked vehicle is inconsistent with the license plate information of the parking space owner, the method further includes: and acquiring information of a driver and passengers in the parked vehicle, and if the driver and the passengers have the parking space owner or pre-registered relatives of the parking space owner, determining that the parked vehicle is normally parked.
Considering that there is a parking space as a home parking space, one parking space may allow a plurality of vehicles to be used, and a person who is a relative of a parking space owner or a person designated by the parking space owner may also use the parking space. The parking space sharing method can be used for confirming pre-registered personnel by a parking space owner in a pre-registration mode so as to realize parking space sharing.
In the case of a shared parking space, there may be a phenomenon in which: the relatives of the parking space owner use the parking space to park, the parking space owner does not know, the vehicle is also driven to park at the parking space, the parking space is found to be incapable of being parked again, other parking spaces are found at the moment, time waste can be caused, and a great deal of inconvenience is brought to life.
Therefore, for a user with a plurality of vehicles sharing one parking space, the method also provides that when a person uses the parking space rightly, a notice can be sent to other people, the phenomenon that the parking space is used but other people do not know that the vehicle is parked in the future is prevented, other people can arrange the parking space in advance after receiving the notice that the parking space is used, and the vehicle is parked at a pay parking space near a community or other places where the vehicle can be parked, so that the time can be saved, the existing parking space can be fully used under the condition that the budget is limited and enough parking spaces cannot be purchased, the method is practical for the residents to consider, and the satisfaction degree of the residents is improved.
Similarly, considering the situation that the parking space owner has a plurality of vehicles, the vehicle information and the license plate information of the plurality of vehicles can be bound in the same parking space.
In some embodiments of the present disclosure, if there is a partial occlusion in the license plate of the parked vehicle, the entire license plate information cannot be identified from the video information of the parked vehicle through the artificial intelligence algorithm model, and the method further includes: and identifying the unshielded license plate of the parked vehicle, and if the license plate information of the unshielded part is the same as the license plate information of the part corresponding to the parking space owner, determining that the parked vehicle is normally parked.
In consideration of the situation that the license plate of the parking space used normally may be blocked, in order to prevent the situation that wrong judgment is caused to disturb a parking space owner, when the situation that the license plate is blocked occurs, the unblocked license plate of the parked vehicle can be identified, for example, photos of the unblocked license plate can be compared, and if the license plate information of the unblocked license plate is the same as that of the corresponding part of the parking space owner, the parked vehicle is determined to be parked normally.
In some embodiments of the present description, before said performing respective processing on said parked vehicle, said method further comprises: and acquiring video information of the parked vehicles acquired by the monitoring equipment, and storing the video information of the parked vehicles occupying the parking spaces of the parking space owners as evidence.
In order to prevent the malicious persons who occupy the parking space from not acknowledging the mistake and not undertaking the corresponding compensation, the video information of the parking vehicles occupying the parking space of the parking space owner needs to be stored for being reserved as evidence. In addition, in consideration of the problem of running the memory, the invention does not store the video information of the parked vehicles collected by all the monitoring devices, and only stores the video information of the parked vehicles occupying the parking spaces of the parking space owners, thereby avoiding unnecessary resource waste.
In some embodiments of the present description, after said performing respective processing on said parked vehicle, said method further comprises: obtaining the time for the parked vehicle to run out of the parking space owner based on the video information of the parked vehicle, which is acquired by the monitoring equipment; obtaining the time length of occupying the parking space of the parking space owner based on the parking time of the parked vehicle and the time of the parked vehicle running out of the parking space owner; and taking corresponding punishment measures according to the time length of occupying the parking space of the parking space owner based on a preset parking space punishment rule.
Corresponding punishment measures are taken through the time length of the parking space occupied by the parking space owner, for example, the punishment is carried out according to the hour, and the longer the parking space occupied time is, the more the punishment is. Punishment can also be carried out according to the number of times of occupying the parking space, for example, punishment measures such as warning for the first time, carrying out punishment for the second time, not allowing to enter a cell garage for the third time and the like can be carried out. Therefore, a clear parking environment in the community is created, and the occurrence of malicious parking space occupation behaviors is effectively restrained.
In some embodiments of the present description, before the identifying the vehicle information and the license plate information of the parked vehicle from the video information of the parked vehicle through the pre-trained artificial intelligence algorithm model, the method further includes: pre-training by using a specified data set to obtain a machine learning model; and inputting data information of the first data set into the machine learning model, and finely adjusting the machine learning model to obtain the artificial intelligence algorithm model.
In conclusion, the parking space early warning method based on artificial intelligence can perform parking space early warning when a parking space is occupied, effectively solves the problem that the parking space is occupied maliciously, avoids the situation that a parking space owner needs to wait for a long time to occupy the parking space to move when parking, and protects the rights and interests of the parking space owner.
Fig. 2 is a schematic structural diagram of a parking space early warning device based on artificial intelligence provided in an embodiment of the present application, as shown in fig. 2, a parking space early warning device based on artificial intelligence provided in an embodiment of the present application may include: 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: identifying vehicle information and license plate information of a parked vehicle from video information of the parked vehicle through a pre-trained artificial intelligence algorithm model based on the video information of the parked vehicle collected by a monitoring device; judging whether the vehicle information of the parked vehicle is consistent with the vehicle information of the parking space owner and whether the license plate information of the parked vehicle is consistent with the license plate information of the parking space owner or not according to the vehicle information and the license plate information of the parking space owner corresponding to the pre-collected parking space information; and if the information of the parked vehicle is judged to be inconsistent with the information of the parking space owner and the license plate information of the parked vehicle is judged to be inconsistent with the license plate information of the parking space owner, the parked vehicle is correspondingly processed.
The processor and the memory may communicate via a bus, and the device may further include an input/output interface for communicating with other devices.
Some embodiments of the present application provide a non-volatile computer storage medium corresponding to fig. 1 for artificial intelligence based parking space warning, which stores computer executable instructions configured to: identifying vehicle information and license plate information of a parked vehicle from video information of the parked vehicle through a pre-trained artificial intelligence algorithm model based on the video information of the parked vehicle collected by a monitoring device; judging whether the vehicle information of the parked vehicle is consistent with the vehicle information of the parking space owner and whether the license plate information of the parked vehicle is consistent with the license plate information of the parking space owner or not according to the vehicle information and the license plate information of the parking space owner corresponding to the pre-collected parking space information; and if the information of the parked vehicle is judged to be inconsistent with the information of the parking space owner and the license plate information of the parked vehicle is judged to be inconsistent with the license plate information of the parking space owner, the parked vehicle is correspondingly processed.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the device, non-volatile computer storage medium embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and in relation to the description, reference may be made to some portions of the description of the method embodiment.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modifications, equivalents, improvements, etc. that come within the spirit of the disclosure are intended to be included within the scope of the claims of this disclosure.
Claims (10)
1. The parking space early warning method based on artificial intelligence is characterized by comprising the following steps:
identifying vehicle information and license plate information of a parked vehicle from video information of the parked vehicle through a pre-trained artificial intelligence algorithm model based on the video information of the parked vehicle collected by a monitoring device;
judging whether the vehicle information of the parked vehicle is consistent with the vehicle information of the parking space owner and whether the license plate information of the parked vehicle is consistent with the license plate information of the parking space owner or not according to the vehicle information and the license plate information of the parking space owner corresponding to the pre-collected parking space information;
and if the information of the parked vehicle is judged to be inconsistent with the information of the parking space owner and the license plate information of the parked vehicle is judged to be inconsistent with the license plate information of the parking space owner, the parked vehicle is correspondingly processed.
2. The method of claim 1, wherein before determining whether the vehicle information of the parked vehicle is consistent with the vehicle information of the parking space owner and the license plate information of the parked vehicle is consistent with the license plate information of the parking space owner, the method further comprises:
the method comprises the steps of collecting vehicle information of a parking space owner and license plate information of the parking space owner, and binding the parking space information with the vehicle information of the parking space owner and the license plate information of the parking space owner.
3. The method of claim 1, wherein if it is determined that the vehicle information of the parked vehicle is inconsistent with the vehicle information of the parking space owner and the license plate information of the parked vehicle is inconsistent with the license plate information of the parking space owner, the method further comprises:
and acquiring information of a driver and passengers in the parked vehicle, and if the driver and the passengers have the parking space owner or pre-registered relatives of the parking space owner, determining that the parked vehicle is normally parked.
4. The method of claim 1, wherein if the license plate of the parked vehicle is partially occluded, the entire license plate information cannot be identified from the video information of the parked vehicle by the artificial intelligence algorithm model, the method further comprising:
and identifying the unshielded license plate of the parked vehicle, and if the license plate information of the unshielded part is the same as the license plate information of the part corresponding to the parking space owner, determining that the parked vehicle is normally parked.
5. The method of claim 1, wherein prior to said performing respective treatments on said parked vehicle, said method further comprises:
and acquiring video information of the parked vehicles acquired by the monitoring equipment, and storing the video information of the parked vehicles occupying the parking spaces of the parking space owners as evidence.
6. The method according to claim 1, wherein the performing corresponding processing on the parked vehicle specifically comprises:
and calling a network short message module, and sending a parking space early warning short message to the parking space owner, wherein the parking space early warning short message comprises information of the vehicle owner bound with the parked vehicle, parking time of the parked vehicle and the parking space information.
7. The method of claim 6, wherein after the respective processing of the parked vehicle, the method further comprises:
obtaining the time for the parked vehicle to run out of the parking space owner based on the video information of the parked vehicle, which is acquired by the monitoring equipment;
obtaining the time length of occupying the parking space of the parking space owner based on the parking time of the parked vehicle and the time of the parked vehicle running out of the parking space owner;
and taking corresponding punishment measures according to the time length of occupying the parking space of the parking space owner based on a preset parking space punishment rule.
8. The method of claim 1, wherein prior to identifying the vehicle information and license plate information of the parked vehicle from the video information of the parked vehicle via a pre-trained artificial intelligence algorithm model, the method further comprises:
pre-training by using a specified data set to obtain a machine learning model;
and inputting data information of the first data set into the machine learning model, and finely adjusting the machine learning model to obtain the artificial intelligence algorithm model.
9. The utility model provides a parking stall early warning equipment based on artificial intelligence which characterized in that includes:
at least one processor, and,
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:
identifying vehicle information and license plate information of a parked vehicle from video information of the parked vehicle through a pre-trained artificial intelligence algorithm model based on the video information of the parked vehicle collected by a monitoring device;
judging whether the vehicle information of the parked vehicle is consistent with the vehicle information of the parking space owner and whether the license plate information of the parked vehicle is consistent with the license plate information of the parking space owner or not according to the vehicle information and the license plate information of the parking space owner corresponding to the pre-collected parking space information;
and if the information of the parked vehicle is judged to be inconsistent with the information of the parking space owner and the license plate information of the parked vehicle is judged to be inconsistent with the license plate information of the parking space owner, the parked vehicle is correspondingly processed.
10. A non-transitory computer storage medium storing computer-executable instructions configured to:
identifying vehicle information and license plate information of a parked vehicle from video information of the parked vehicle through a pre-trained artificial intelligence algorithm model based on the video information of the parked vehicle collected by a monitoring device;
judging whether the vehicle information of the parked vehicle is consistent with the vehicle information of the parking space owner and whether the license plate information of the parked vehicle is consistent with the license plate information of the parking space owner or not according to the vehicle information and the license plate information of the parking space owner corresponding to the pre-collected parking space information;
and if the information of the parked vehicle is judged to be inconsistent with the information of the parking space owner and the license plate information of the parked vehicle is judged to be inconsistent with the license plate information of the parking space owner, the parked vehicle is correspondingly processed.
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| CN117593910A (en) * | 2024-01-18 | 2024-02-23 | 融科联创(天津)信息技术有限公司 | Intelligent monitoring method and system based on computer vision |
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