CN115497304A - Crossing violation monitoring method and device, storage medium and equipment - Google Patents
Crossing violation monitoring method and device, storage medium and equipment Download PDFInfo
- Publication number
- CN115497304A CN115497304A CN202211114664.1A CN202211114664A CN115497304A CN 115497304 A CN115497304 A CN 115497304A CN 202211114664 A CN202211114664 A CN 202211114664A CN 115497304 A CN115497304 A CN 115497304A
- Authority
- CN
- China
- Prior art keywords
- information
- intersection
- take
- traffic light
- road
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000012544 monitoring process Methods 0.000 title claims abstract description 39
- 230000006399 behavior Effects 0.000 claims abstract description 45
- 230000006698 induction Effects 0.000 claims abstract description 33
- 238000012806 monitoring device Methods 0.000 claims abstract description 17
- 238000010586 diagram Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 206010039203 Road traffic accident Diseases 0.000 description 2
- 230000033228 biological regulation Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000003190 augmentative effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000001093 holography Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
Images
Classifications
-
- 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
-
- 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
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
Abstract
The application discloses a crossing violation monitoring method, a crossing violation monitoring device, a storage medium and equipment, which are applied to the field of Internet of things, and the method comprises the following steps: when a carrier with a preset positioning chip reaches an intersection, receiving induction information reported by an induction base station preset at the intersection; accessing monitoring equipment at the intersection, and acquiring video information acquired by the monitoring equipment within the occurrence time; carrying out image recognition on the video information to obtain traffic light information of an intersection and road information of a driving path; under the condition that the traffic light information indicates a red light and the road information indicates a motorway, confirming that the take-out person has illegal driving behaviors at the intersection; acquiring identity information of the take-out personnel from a database, and generating violation information of the take-out personnel based on the identity information, the video information and the induction information; and sending the violation information of the takeaway personnel to the takeaway platform so that the takeaway platform can carry out criticizing education on the takeaway personnel. Compared with the prior art, the method has higher accuracy of the recognition result of the illegal driving behavior.
Description
Technical Field
The application relates to the field of Internet of things, in particular to a crossing violation monitoring method, a crossing violation monitoring device, a crossing violation monitoring storage medium and crossing violation monitoring equipment.
Background
The current takeaway industry is exploded at ten minutes, and the takeaway personnel send the takeaway to time of robbing, often can select when crossing through rushing the red light, walk modes such as motor vehicle road save time, cause the traffic accident easily, and current existing crossing monitored control system mainly is to the car violates the traffic rules and deploys, and the violation action to the small-size electric motor car is unrestrained, often takes place just to decide the responsibility after the traffic accident.
In the prior art, a monitored video recognition technology is used for directly recognizing the route of a takeout person, the identity of the takeout person is recognized by combining a face recognition technology, information needs to be transmitted to a background for personnel confirmation, and then the information is forwarded to a corresponding responsible person or responsible company. However, the video recognition rate is not high enough due to the influence of factors such as traffic conditions at intersections and the fact that take-out personnel carry helmets, and whether the take-out personnel violate rules or not cannot be accurately recognized.
Therefore, how to accurately monitor the illegal driving behavior of the take-out person at the intersection becomes a problem to be solved urgently in the field.
Disclosure of Invention
The application provides a crossing violation monitoring method, a crossing violation monitoring device, a storage medium and equipment, and aims to accurately monitor the violation driving behavior of a take-out person at a crossing.
In order to achieve the above object, the present application provides the following technical solutions:
an intersection violation monitoring method, comprising:
when a carrier with a preset positioning chip reaches an intersection, receiving induction information reported by an induction base station preset at the intersection; the positioning chip is bound with the identity of a takeaway in advance; the sensing information comprises a driving path of the vehicle and occurrence time of the driving path; the driving path is generated based on each piece of position information sent to the induction base station by the positioning chip;
accessing the monitoring equipment of the intersection, and acquiring the video information acquired by the monitoring equipment within the occurrence time;
carrying out image recognition on the video information to obtain traffic light information of the intersection and road information of a path where the driving path is located;
under the condition that the traffic light information indicates a red light and the road information indicates a motorway, confirming that the take-out person has illegal driving behaviors at the intersection;
acquiring identity information of the take-out personnel from a database, and generating violation information of the take-out personnel based on the identity information, the video information and the induction information;
and sending the violation information of the takeaway staff to a takeaway platform so that the takeaway platform carries out criticizing education on the takeaway staff.
Optionally, after performing image recognition on the video information to obtain traffic light information of the intersection and road information of a path where the driving path is located, the method further includes:
and under the condition that the traffic light information indication is a red light and the road information indication is a pedestrian road, confirming that the illegal driving behavior of the take-out person occurs at the intersection.
Optionally, after performing image recognition on the video information to obtain traffic light information of the intersection and road information of a path where the driving path is located, the method further includes:
and under the condition that the traffic light information indication is a red light and the road information indication is a non-motor vehicle lane, confirming that the illegal driving behavior of the take-away member occurs at the intersection.
Optionally, after performing image recognition on the video information to obtain traffic light information of the intersection and road information of a path where the driving path is located, the method further includes:
and under the condition that the traffic light information indication is a green light and the road information indication is a motorway, confirming that the illegal driving behavior of the take-out person occurs at the intersection.
Optionally, after performing image recognition on the video information to obtain traffic light information of the intersection and road information of a path where the driving path is located, the method further includes:
and under the condition that the traffic light information indication is a green light and the road information indication is a pedestrian road, confirming that the illegal driving behavior of the take-out person occurs at the intersection.
Optionally, after performing image recognition on the video information to obtain traffic light information of the intersection and road information of a path where the driving path is located, the method further includes:
and under the condition that the traffic light information indicates that the traffic light is green light and the road information indicates that the vehicle runs in the wrong direction on a non-motor vehicle lane, confirming that the illegal driving behavior of the take-out person occurs at the intersection.
An intersection violation monitoring device comprising:
the information receiving unit is used for receiving induction information reported by an induction base station preset at an intersection when a carrier preset with a positioning chip reaches the intersection; the positioning chip is bound with the identity of a takeaway in advance; the sensing information comprises a driving path of the vehicle and the occurrence time of the driving path; the driving path is generated based on each piece of position information sent to the induction base station by the positioning chip;
the video acquisition unit is used for accessing the monitoring equipment of the intersection and acquiring the video information acquired by the monitoring equipment within the occurrence time;
the video identification unit is used for carrying out image identification on the video information to obtain traffic light information of the intersection and road information of a path where the driving path is located;
the information analysis unit is used for confirming that the take-out person has the illegal driving behavior at the intersection under the condition that the traffic light information indicates a red light and the road information indicates a motorway;
the information generating unit is used for acquiring the identity information of the take-out personnel from a database and generating violation information of the take-out personnel based on the identity information, the video information and the induction information;
and the information sending unit is used for sending the violation information of the takeout personnel to a takeout platform so as to enable the takeout platform to carry out criticizing education on the takeout personnel.
Optionally, the information analysis unit is further configured to:
and under the condition that the traffic light information indicates that the traffic light is red light and the road information indicates that the traffic light is pedestrian, confirming that the illegal driving behavior of the take-out person occurs at the intersection.
A computer-readable storage medium comprising a stored program, wherein the program performs the intersection violation monitoring method.
An intersection violation monitoring device comprising: a processor, memory, and a bus; the processor and the memory are connected through the bus;
the memory is used for storing programs, and the processor is used for running the programs, wherein the intersection violation monitoring method is executed when the programs run.
According to the technical scheme, when the carrier with the preset positioning chip reaches the intersection, the induction information reported by the induction base station preset at the intersection is received. And accessing the monitoring equipment at the intersection, and acquiring the video information acquired by the monitoring equipment within the occurrence time. And carrying out image recognition on the video information to obtain traffic light information of the intersection and road information of a path where the driving path is located. And under the condition that the traffic light information indicates a red light and the road information indicates a motorway, confirming that the take-out person has illegal driving behaviors at the intersection. And acquiring identity information of the take-out personnel from the database, and generating violation information of the take-out personnel based on the identity information, the video information and the induction information. And sending the violation information of the takeaway personnel to the takeaway platform so that the takeaway platform can carry out criticizing education on the takeaway personnel. The method determines the driving path of the take-out person through the induction base station and the positioning chip, determines whether the take-out person takes the illegal driving behavior or not by combining the video information collected by the monitoring equipment within the occurrence time of the driving path, and after the take-out person takes the illegal driving behavior, the takeaway platform is informed to criticize the education to the takeaway personnel the very first time, guarantees the personal safety of takeaway personnel and the traffic safety at crossing, compares in prior art, and this embodiment is higher to the recognition result accuracy of the driving action of breaking rules and regulations.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic flow chart of a crossing violation monitoring method according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram of an architecture of an intersection violation monitoring device according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an intersection violation monitoring device according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based at least in part on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.
It should be noted that the terms "first", "second", and the like in the present application are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence of the functions performed by the devices, modules or units.
It is noted that references to "a" or "an" modification in this application are intended to be illustrative rather than limiting, and those skilled in the art will appreciate that references to "one or more" are intended to be exemplary unless the context clearly indicates otherwise.
As shown in fig. 1, a flow diagram of an intersection violation monitoring method provided in the embodiment of the present application is applicable to an edge device, and includes the following steps.
S101: and when the carrier with the preset positioning chip reaches the intersection, receiving the induction information reported by the induction base station preset at the intersection.
The positioning chip is pre-bound with the identity of a takeaway, so-called vehicles include but are not limited to electric vehicles and bicycles, and the sensing information includes the traveling path of the vehicle and the occurrence time of the traveling path. The driving path of the carrier is generated based on each position information sent to the induction base station by the positioning chip, and the position information is used for indicating the position coordinates of the carrier.
It should be noted that the positioning chip shown in the embodiment of the present application includes, but is not limited to, an Ultra Wide Band (UWB) chip, and accordingly, the sensing base station may be a base station installed with a UWB signal receiver.
S102: and accessing the monitoring equipment at the intersection to acquire the video information acquired by the monitoring equipment within the occurrence time.
The monitoring device includes, but is not limited to, a camera.
S103: and carrying out image recognition on the video information to obtain traffic light information of the intersection and road information of the path of the driving path.
S104: and under the condition that the traffic light information indicates a red light and the road information indicates a motorway, confirming that the take-out person has illegal driving behaviors at the intersection.
The vehicle is illegally driven at the intersection of the take-out personnel, so that the video information and the induction information are sent to the take-out platform to which the take-out personnel belong, the take-out platform is informed to conduct criticizing education on the take-out personnel who illegally drive, and therefore the take-out personnel are guaranteed to strictly follow the traffic rules.
Optionally, under the condition that the traffic light information indicates a red light and the road information indicates a pedestrian crossing, it is determined that the take-out person violates the driving behavior at the crossing.
Optionally, under the condition that the traffic light information indicates a red light and the road information indicates a non-motor vehicle lane, it is determined that the take-out person has an illegal driving behavior at the intersection.
Optionally, under the condition that the traffic light information indicates a green light and the road information indicates a motorway, it is determined that the take-out person has an illegal driving behavior at the intersection.
Optionally, under the condition that the traffic light information indicates a green light and the road information indicates a pedestrian crossing, it is determined that the take-out person violates the driving behavior at the crossing.
Optionally, under the condition that the traffic light information indicates a green light and the road information indicates that the vehicle runs in a reverse direction on a non-motor lane, it is determined that the illegal driving behavior of the take-out person occurs at the intersection.
S105: and acquiring identity information of the take-out personnel from the database, and generating violation information of the take-out personnel based on the identity information, the video information and the induction information.
S106: and sending the violation information of the takeaway staff to the takeaway platform so that the enterprise to which the takeaway platform belongs can carry out criticizing education on the takeaway staff indicated by the violation information of the takeaway staff.
The illegal take-out information is sent to the take-out platform, so that an enterprise to which the take-out platform belongs can conduct criticizing education on take-out personnel shown by the illegal take-out information, cost of illegal driving of the take-out personnel can be improved, the take-out personnel can be prevented from driving illegally again, the take-out personnel can be guaranteed to strictly follow traffic regulations, and personal safety of the take-out personnel is guaranteed.
It should be noted that, the scheme shown in the embodiment of the present application is executed by the edge device, and based on the characteristics of the edge device, after the take-away operator drives in violation, the take-away platform can obtain the information about the violation of the take-away operator at the first time, so that the traffic control for the take-away operator is faster, and the take-away platform can quickly react to inhibit the take-away operator from driving in violation again, thereby not only ensuring the personal safety of the take-away operator, but also improving the traffic safety of the intersection.
In summary, in the embodiment, the driving path of the takeaway is determined by the sensing base station and the positioning chip, and whether the takeaway has the illegal driving behavior is determined by combining the video information collected by the monitoring device within the occurrence time of the driving path, and after the illegal driving behavior occurs to the takeaway, the takeaway platform is notified to perform criticizing education on the takeaway at the first time, so that the personal safety of the takeaway and the traffic safety of the intersection are ensured.
It should be noted that the intersection violation monitoring method provided by the invention can be applied to the fields of artificial intelligence, block chain, distribution, cloud computing, big data, internet of things, mobile internet, network security, chip, virtual reality, augmented reality, holography, quantum computing, quantum communication, quantum measurement, digital twinning, and finance. The above is only an example, and does not limit the application field of the intersection violation monitoring method provided by the present invention.
The intersection violation monitoring method provided by the invention can be used in the financial field or other fields, for example, can be used in transaction application scenarios in the financial field. The other fields are arbitrary fields other than the financial field, for example, the electric power field. The foregoing is only an example, and does not limit the application field of the intersection violation monitoring method provided by the present invention.
Corresponding to the crossing violation monitoring method provided by the embodiment of the application, the embodiment of the application also provides a crossing violation monitoring device.
As shown in fig. 2, a schematic architecture diagram of an intersection violation monitoring device provided in the embodiment of the present application includes the following units.
The information receiving unit 100 is configured to receive sensing information reported by a sensing base station preset at an intersection when a carrier with a preset positioning chip reaches the intersection; the positioning chip is bound with the identity of a takeaway in advance; the sensing information comprises a driving path of the vehicle and the occurrence time of the driving path; the driving path is generated based on each position information sent to the induction base station by the positioning chip.
The video acquiring unit 200 is configured to access a monitoring device at an intersection and acquire video information acquired by the monitoring device within an occurrence time.
And the video identification unit 300 is used for performing image identification on the video information to obtain traffic light information of the intersection and road information of a path where the driving path is located.
And the information analysis unit 400 is used for confirming that the illegal driving behavior of the take-out person occurs at the intersection under the condition that the traffic light information indicates a red light and the road information indicates a motor lane.
Optionally, the information analysis unit 400 is further configured to: and under the condition that the traffic light information indicates a red light and the road information indicates a pedestrian crossing, confirming that the take-out customers have illegal driving behaviors at the crossing.
The information analysis unit 400 is further configured to: and under the condition that the traffic light information indicates a red light and the road information indicates a non-motor lane, confirming that the take-out person has illegal driving behaviors at the intersection.
The information analysis unit 400 is further configured to: and under the condition that the traffic light information indicates a green light and the road information indicates a motorway, confirming that the take-out person has illegal driving behaviors at the intersection.
The information analysis unit 400 is further configured to: and under the condition that the traffic light information indicates a green light and the road information indicates a pedestrian crossing, confirming that the take-out person has illegal driving behaviors at the crossing.
The information analysis unit 400 is further configured to: and under the condition that the traffic light information indicates a green light and the road information indicates that the vehicle runs in the wrong direction on the non-motor vehicle lane, confirming that the illegal driving behavior of the take-out person occurs at the intersection.
And an information generating unit 500, configured to obtain the identity information of the take-out from the database, and generate violation information of the take-out based on the identity information, the video information, and the sensing information.
And an information sending unit 600, configured to send the violation information of the takeaway staff to the takeaway platform, so that the takeaway platform performs criticizing education on the takeaway staff.
In summary, in the embodiment, the driving path of the takeaway is determined by the sensing base station and the positioning chip, and whether the takeaway has the illegal driving behavior is determined by combining the video information collected by the monitoring device within the occurrence time of the driving path, and after the illegal driving behavior occurs to the takeaway, the takeaway platform is notified to perform criticizing education on the takeaway at the first time, so that the personal safety of the takeaway and the traffic safety of the intersection are ensured.
The application also provides a computer-readable storage medium, which comprises a stored program, wherein the program executes the intersection violation monitoring method provided by the application.
The present application further provides a crossing violation monitoring device, as shown in fig. 3, including: a processor 301, a memory 302, and a bus 303. The processor 301 is connected to the memory 302 through the bus 303, the memory 302 is used for storing programs, and the processor 301 is used for running the programs, wherein the intersection violation monitoring method provided by the present application is executed when the programs are run, and includes the following steps:
when a carrier with a preset positioning chip reaches an intersection, receiving induction information reported by an induction base station preset at the intersection; the positioning chip is bound with the identity of a takeaway in advance; the sensing information comprises a driving path of the vehicle and occurrence time of the driving path; the driving path is generated based on each piece of position information sent to the induction base station by the positioning chip;
accessing the monitoring equipment of the intersection, and acquiring the video information acquired by the monitoring equipment within the occurrence time;
carrying out image recognition on the video information to obtain traffic light information of the intersection and road information of a path where the driving path is located;
under the condition that the traffic light information indicates a red light and the road information indicates a motorway, confirming that the take-out person has illegal driving behaviors at the intersection;
acquiring the identity information of the take-out salesman from a database, and generating take-out salesman violation information based on the identity information, the video information and the induction information;
and sending the violation information of the takeaway staff to a takeaway platform so that the takeaway platform carries out criticizing education on the takeaway staff.
Specifically, on the basis of the above embodiment, after performing image recognition on the video information to obtain traffic light information of the intersection and road information on a route where the driving route is located, the method further includes:
and under the condition that the traffic light information indicates that the traffic light is red light and the road information indicates that the traffic light is pedestrian, confirming that the illegal driving behavior of the take-out person occurs at the intersection.
Specifically, on the basis of the above embodiment, after performing image recognition on the video information to obtain traffic light information of the intersection and road information on a route where the driving route is located, the method further includes:
and under the condition that the traffic light information indication is a red light and the road information indication is a non-motor vehicle lane, confirming that the illegal driving behavior of the take-away member occurs at the intersection.
Specifically, on the basis of the above embodiment, after performing image recognition on the video information to obtain traffic light information of the intersection and road information on a route where the driving route is located, the method further includes:
and under the condition that the traffic light information indicates a green light and the road information indicates a motorway, confirming that the take-out person breaks the driving behavior at the intersection.
Specifically, on the basis of the above embodiment, after performing image recognition on the video information to obtain traffic light information of the intersection and road information of a route where the driving route is located, the method further includes:
and under the condition that the traffic light information indication is a green light and the road information indication is a pedestrian road, confirming that the illegal driving behavior of the take-out person occurs at the intersection.
Specifically, on the basis of the above embodiment, after performing image recognition on the video information to obtain traffic light information of the intersection and road information on a route where the driving route is located, the method further includes:
and under the condition that the traffic light information indicates that the traffic light is green light and the road information indicates that the vehicle runs in the wrong direction in a non-motor lane, confirming that the illegal driving behavior of the take-out person occurs at the intersection.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.
While several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the application. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the disclosure. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
The functions described in the method of the embodiment of the present application, if implemented in the form of software functional units and sold or used as independent products, may be stored in a storage medium readable by a computing device. Based on such understanding, part of the technical solutions or portions of the embodiments contributing to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computing device (which may be a personal computer, a server, a mobile computing device, a network device, or the like) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: u disk, removable hard disk, read only memory, random access memory, magnetic or optical disk, etc. for storing program codes.
In the present specification, the embodiments are described in a progressive manner, and each embodiment focuses on differences from other embodiments, and the same or similar parts between the embodiments are referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. An intersection violation monitoring method is characterized by comprising the following steps:
when a carrier with a preset positioning chip reaches an intersection, receiving induction information reported by an induction base station preset at the intersection; the positioning chip is bound with the identity of a takeaway in advance; the sensing information comprises a driving path of the vehicle and occurrence time of the driving path; the driving path is generated based on each piece of position information sent to the induction base station by the positioning chip;
accessing the monitoring equipment of the intersection, and acquiring the video information acquired by the monitoring equipment within the occurrence time;
carrying out image recognition on the video information to obtain traffic light information of the intersection and road information of a path where the driving path is located;
under the condition that the traffic light information indicates a red light and the road information indicates a motorway, confirming that the take-out person has illegal driving behaviors at the intersection;
acquiring identity information of the take-out personnel from a database, and generating violation information of the take-out personnel based on the identity information, the video information and the induction information;
and sending the violation information of the take-out personnel to a take-out platform so that the take-out platform can carry out criticizing education on the take-out personnel.
2. The method according to claim 1, wherein after the image recognition of the video information to obtain traffic light information of the intersection and road information of the path traveled by the driving route, the method further comprises:
and under the condition that the traffic light information indicates that the traffic light is red light and the road information indicates that the traffic light is pedestrian, confirming that the illegal driving behavior of the take-out person occurs at the intersection.
3. The method of claim 1, wherein after the image recognizing the video information to obtain the traffic light information of the intersection and the road information of the driving path, further comprising:
and under the condition that the traffic light information indicates that the traffic light is red and the road information indicates that the traffic light is a non-motor lane, confirming that the illegal driving behavior of the take-out person occurs at the intersection.
4. The method according to claim 1, wherein after the image recognition of the video information to obtain traffic light information of the intersection and road information of the path traveled by the driving route, the method further comprises:
and under the condition that the traffic light information indicates a green light and the road information indicates a motorway, confirming that the take-out person breaks the driving behavior at the intersection.
5. The method according to claim 1, wherein after the image recognition of the video information to obtain traffic light information of the intersection and road information of the path traveled by the driving route, the method further comprises:
and under the condition that the traffic light information indicates a green light and the road information indicates a pedestrian path, confirming that the illegal driving behavior of the take-out person occurs at the intersection.
6. The method of claim 1, wherein after the image recognizing the video information to obtain the traffic light information of the intersection and the road information of the driving path, further comprising:
and under the condition that the traffic light information indicates that the traffic light is green light and the road information indicates that the vehicle runs in the wrong direction in a non-motor lane, confirming that the illegal driving behavior of the take-out person occurs at the intersection.
7. An intersection violation monitoring device, comprising:
the information receiving unit is used for receiving induction information reported by an induction base station preset at an intersection when a carrier preset with a positioning chip reaches the intersection; the positioning chip is bound with the identity of a takeaway in advance; the sensing information comprises a driving path of the vehicle and the occurrence time of the driving path; the driving path is generated based on each piece of position information sent to the induction base station by the positioning chip;
the video acquisition unit is used for accessing the monitoring equipment of the intersection and acquiring the video information acquired by the monitoring equipment within the occurrence time;
the video identification unit is used for carrying out image identification on the video information to obtain traffic light information of the intersection and road information of the path where the driving path is located;
the information analysis unit is used for confirming that the illegal driving behavior of the take-out person occurs at the intersection under the condition that the traffic light information indicates a red light and the road information indicates a motorway;
the information generating unit is used for acquiring the identity information of the take-out personnel from a database and generating violation information of the take-out personnel based on the identity information, the video information and the induction information;
and the information sending unit is used for sending the violation information of the takeout personnel to a takeout platform so as to enable the takeout platform to carry out criticizing education on the takeout personnel.
8. The apparatus of claim 7, wherein the information analysis unit is further configured to:
and under the condition that the traffic light information indication is a red light and the road information indication is a pedestrian road, confirming that the illegal driving behavior of the take-out person occurs at the intersection.
9. A computer-readable storage medium comprising a stored program, wherein the program performs the intersection violation monitoring method of any of claims 1-6.
10. An intersection violation monitoring device, comprising: a processor, a memory, and a bus; the processor and the memory are connected through the bus;
the memory is used for storing a program, and the processor is used for executing the program, wherein the program executes the intersection violation monitoring method according to any one of claims 1-6 during running.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211114664.1A CN115497304A (en) | 2022-09-14 | 2022-09-14 | Crossing violation monitoring method and device, storage medium and equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211114664.1A CN115497304A (en) | 2022-09-14 | 2022-09-14 | Crossing violation monitoring method and device, storage medium and equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115497304A true CN115497304A (en) | 2022-12-20 |
Family
ID=84468831
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211114664.1A Pending CN115497304A (en) | 2022-09-14 | 2022-09-14 | Crossing violation monitoring method and device, storage medium and equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115497304A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3193319A1 (en) * | 2016-01-13 | 2017-07-19 | Ekin, Akif | Smart recording, control and warning system for crossroad traffic |
| CN110189524A (en) * | 2019-06-19 | 2019-08-30 | 刘先进 | A kind of active violation recognition methods, system and electronic equipment violating the regulations |
| CN110264718A (en) * | 2019-06-26 | 2019-09-20 | 威视安网络设备科技无锡有限公司 | A kind of recognition methods violating the regulations of non-motor vehicle, apparatus and system |
| CN113160575A (en) * | 2021-03-15 | 2021-07-23 | 超级视线科技有限公司 | Traffic violation detection method and system for non-motor vehicles and drivers |
| CN113657775A (en) * | 2021-08-19 | 2021-11-16 | 哈尔滨工业大学 | Method for standardizing distribution behavior of distribution personnel based on violation of road operation rule identification |
| CN215814513U (en) * | 2021-04-16 | 2022-02-11 | 北京市振隆科技股份有限公司 | Electric bicycle system of collecting evidence violating regulations |
-
2022
- 2022-09-14 CN CN202211114664.1A patent/CN115497304A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3193319A1 (en) * | 2016-01-13 | 2017-07-19 | Ekin, Akif | Smart recording, control and warning system for crossroad traffic |
| CN110189524A (en) * | 2019-06-19 | 2019-08-30 | 刘先进 | A kind of active violation recognition methods, system and electronic equipment violating the regulations |
| CN110264718A (en) * | 2019-06-26 | 2019-09-20 | 威视安网络设备科技无锡有限公司 | A kind of recognition methods violating the regulations of non-motor vehicle, apparatus and system |
| CN113160575A (en) * | 2021-03-15 | 2021-07-23 | 超级视线科技有限公司 | Traffic violation detection method and system for non-motor vehicles and drivers |
| CN215814513U (en) * | 2021-04-16 | 2022-02-11 | 北京市振隆科技股份有限公司 | Electric bicycle system of collecting evidence violating regulations |
| CN113657775A (en) * | 2021-08-19 | 2021-11-16 | 哈尔滨工业大学 | Method for standardizing distribution behavior of distribution personnel based on violation of road operation rule identification |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113240909B (en) | Vehicle monitoring method, equipment, cloud control platform and vehicle road cooperative system | |
| US9583000B2 (en) | Vehicle-based abnormal travel event detecting and reporting | |
| CN106971552B (en) | Fake plate phenomenon detection method and system | |
| CN110648533A (en) | Traffic control method, equipment, system and storage medium | |
| CN106412508A (en) | Intelligent monitoring method and system of illegal line press of vehicles | |
| CN105235680A (en) | Pedestrian avoiding method and system based on cloud computing | |
| CN110599791A (en) | Information monitoring method, device and equipment | |
| CN114297222A (en) | Vehicle misbehavior management method, device, storage medium, and apparatus | |
| WO2021137223A1 (en) | Automatically tracking a trajectory of a vehicle | |
| KR101498582B1 (en) | System and Method for Providing Traffic Accident Data | |
| CN116978200A (en) | Method and system for monitoring and early warning of high-speed illegal vehicles | |
| CN115497304A (en) | Crossing violation monitoring method and device, storage medium and equipment | |
| CN114005277B (en) | Information extraction method and device of Internet of vehicles and readable medium | |
| CN112585657A (en) | Safe driving monitoring method and device | |
| CN109785636A (en) | A kind of vehicle identification method, vehicle identifier and vehicle identification equipment | |
| CN112637783B (en) | Rail transit safety management method and device based on visible light positioning technology | |
| JP2005234846A (en) | Management device, management system and management method | |
| CN113962331A (en) | ETC portal system fault reason identification method and system | |
| CN114596704A (en) | Traffic event processing method, device, equipment and storage medium | |
| Marsden et al. | A comparative assessment of driving behaviours at three sites | |
| CN112882949A (en) | Vehicle networking simulation test platform and method for fusion perception of traffic environment in ring VTHIL | |
| CN111985304A (en) | Patrol alarm method, system, terminal equipment and storage medium | |
| CN113160546A (en) | Dangerous road section identification method and device | |
| Fowdur et al. | A mobile application for real-time detection of road traffic violations | |
| CN115188184B (en) | Vehicle speed limit processing method, device and apparatus |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |