CN117877314A

CN117877314A - Internet of things sensing method, device and system based on computer vision

Info

Publication number: CN117877314A
Application number: CN202410284165.XA
Authority: CN
Inventors: 郑东; 赵拯; 朱翔; 庄庆云; 刘浩; 徐宇杰; 胡榛旸
Original assignee: Zhejiang Yupan Precision Technology Co ltd
Current assignee: Zhejiang Yupan Precision Technology Co ltd
Priority date: 2024-03-13
Filing date: 2024-03-13
Publication date: 2024-04-12
Anticipated expiration: 2044-03-13
Also published as: CN117877314B

Abstract

The embodiment of the application provides an internet of things sensing method, device and system based on computer vision, wherein the method comprises the following steps: after a vehicle is monitored to enter a parking lot entrance barrier gate through a parking lot camera, carrying out license plate recognition on the vehicle according to a preset parking lot database, and determining a corresponding target parking place according to a license plate recognition result; determining a corresponding vehicle driving route according to the current position of the vehicle and the preset position of the target parking space, determining a to-be-driven route and a driven route of the vehicle according to the real-time position of the vehicle on the vehicle driving route, and sending a lighting instruction corresponding to the to-be-driven route and a lighting instruction corresponding to the driven route to a ground running light group of a parking lot; the intelligent parking lot management method and the intelligent parking lot management system can effectively combine a computer vision technology and an Internet of things sensing technology, and improve the intelligentization of parking lot management.

Description

Internet of things sensing method, device and system based on computer vision

Technical Field

The application relates to the field of internet of things, in particular to an internet of things sensing method, device and system based on computer vision.

Background

The intelligent parking lot is a general name for the vehicle charging and the equipment automatic management of the modern parking lot, and the system organically combines a mechanical computer, an electronic computer, automatic control equipment and an intelligent IC card technology, and can realize the functions of vehicle image comparison, automatic charging, automatic data storage and the like under the computer management; the intelligent parking lot can use the intelligent parking lot to carry out comprehensive management on the intelligent parking lot by using the operation management system in the actual operation process.

The existing operation management system is easy to find the conditions of difficult parking space searching and road blocking in a parking lot, and brings certain influence to the use of the operation management system.

Disclosure of Invention

Aiming at the problems in the prior art, the application provides an Internet of things sensing method, device and system based on computer vision, which can effectively combine the computer vision technology and the Internet of things sensing technology and improve the intellectualization of parking lot management.

In order to solve at least one of the above problems, the present application provides the following technical solutions:

in a first aspect, the present application provides an internet of things sensing method based on computer vision, which is applied to an intelligent gateway, wherein the intelligent gateway is electrically connected with a parking lot ground running light set, a parking lot camera and a guide screen, and the method includes:

After a vehicle is monitored to enter a parking lot entrance barrier gate through a parking lot camera, carrying out license plate recognition on the vehicle according to a preset parking lot database, and determining a corresponding target parking place according to a license plate recognition result;

determining a corresponding vehicle driving route according to the current position of the vehicle and the preset position of the target parking space, determining a to-be-driven route and a driven route of the vehicle according to the real-time position of the vehicle on the vehicle driving route, and sending a lighting instruction corresponding to the to-be-driven route and a lighting instruction corresponding to the driven route to a ground running light group of a parking lot;

receiving a vehicle searching instruction sent by a user through a guide screen, determining a corresponding target parking space according to the vehicle searching instruction and the preset parking lot database, determining a corresponding personnel traveling route according to the real-time position of the user and the preset position of the target vehicle, and sending a lighting instruction corresponding to the personnel traveling route to the parking lot ground running light group;

and after the user is monitored to reach the preset position of the target parking space, sending a lighting instruction corresponding to the vehicle running route to the ground running light group of the parking space so as to guide the user to drive the vehicle to the exit barrier gate of the parking space.

Further, the determining a corresponding personnel traveling route according to the real-time position of the user and the preset position of the target vehicle, and sending a lighting instruction corresponding to the personnel traveling route to the parking lot ground running light group, includes:

monitoring the real-time position of the user through a camera of a parking lot, and updating the corresponding personnel travelling route in real time according to the real-time position and the preset position of the target parking space;

and determining a to-be-travelled route and a travelled route of the user according to the personnel travelling route and the real-time position of the user, and sending a lighting instruction corresponding to the to-be-travelled route and a lighting instruction corresponding to the travelled route to a parking lot ground running light group.

Further, after the user is monitored to reach the preset position of the target parking space, sending a lighting instruction corresponding to the vehicle travelling route to the ground running light group of the parking lot, including:

monitoring whether the user reaches a preset position of the target parking space or not through a parking lot camera;

if yes, monitoring the real-time position of the vehicle through the parking lot camera, and updating the corresponding vehicle driving route in real time according to the real-time position and the preset position of the parking lot exit road gate;

And determining a to-be-driven route and a driven route of the vehicle according to the vehicle driving route and the real-time position of the vehicle, and sending a lighting instruction corresponding to the to-be-driven route and a light turning-off instruction corresponding to the driven route to a parking lot ground running water lamp group.

Further, the determining the corresponding vehicle driving route according to the current position of the vehicle and the preset position of the target parking space includes:

monitoring the current position of the vehicle through a camera of a parking lot, and determining a corresponding vehicle driving route according to the current position and the preset position of the target parking space;

and monitoring the congestion state on the vehicle driving route through the parking lot camera, and updating the vehicle driving route according to a preset parking lot driving route map when the front part is judged to be in a serious congestion state.

Further, the method comprises the steps of:

monitoring whether personnel and/or vehicles in a moving state exist in each area set by the parking lot through a camera of the parking lot;

if yes, sending a lighting instruction to the parking lot searchlight group corresponding to the area.

Further, after the vehicle is monitored to enter the parking lot entrance gateway through the parking lot camera, the method further comprises:

Monitoring whether the vehicle reaches a preset position of a corresponding target parking space or not through a parking lot camera;

if yes, sending a lighting instruction to the parking lot searchlight group corresponding to the preset position.

In a second aspect, the present application provides an internet of things sensing device based on computer vision, including:

the target parking space determining module is used for carrying out license plate recognition on the vehicle according to a preset parking lot database after the vehicle is monitored to enter the parking lot entrance barrier through the parking lot camera, and determining a corresponding target parking space according to a license plate recognition result;

the intelligent vehicle guiding module is used for determining a corresponding vehicle driving route according to the current position of the vehicle and the preset position of the target parking space, determining a to-be-driven route and a driven route of the vehicle according to the real-time position of the vehicle on the vehicle driving route, and sending a lighting instruction corresponding to the to-be-driven route and a lighting instruction corresponding to the driven route to a ground running light group of a parking lot;

the personnel intelligent guiding module is used for receiving a vehicle searching instruction sent by a user through a guiding screen, determining a corresponding target parking space according to the vehicle searching instruction and the preset parking lot database, determining a corresponding personnel travelling route according to the real-time position of the user and the preset position of the target vehicle, and sending a lighting instruction corresponding to the personnel travelling route to the parking lot ground running light group;

And the delivery guiding module is used for sending a lighting instruction corresponding to a vehicle travelling route to the ground running light group of the parking lot after monitoring that the user reaches the preset position of the target parking space so as to guide the user to drive the vehicle to the exit gate of the parking lot.

In a third aspect, the present application provides an internet of things sensing system based on computer vision, including: the intelligent gateway is electrically connected with the parking lot ground running water lamp group, the parking lot camera and the guide screen;

the intelligent gateway comprises:

In a fourth aspect, the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the steps of the internet of things sensing method based on computer vision when the processor executes the program.

In a fifth aspect, the present application provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the computer vision based internet of things sensing method.

In a sixth aspect, the present application provides a computer program product comprising computer programs/instructions which, when executed by a processor, implement the steps of the computer vision based internet of things perception method.

According to the technical scheme, the application provides the internet of things sensing method, the device and the system based on the computer vision, after the intelligent gateway monitors that the vehicle enters the entrance barrier gate of the parking lot through the camera of the parking lot, license plate recognition is carried out on the vehicle according to a preset parking lot database, and a corresponding target parking space is determined according to the license plate recognition result; the method comprises the steps of determining a corresponding vehicle driving route according to the current position of the vehicle and the preset position of the target parking space, determining a to-be-driven route and a driven route of the vehicle according to the real-time position of the vehicle on the vehicle driving route, and sending a lighting instruction corresponding to the to-be-driven route and a light turning-off instruction corresponding to the driven route to a ground running light group of a parking lot, so that a computer vision technology and an Internet of things sensing technology can be effectively combined, and the intellectualization of parking lot management is improved.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a schematic flow chart of an internet of things sensing method based on computer vision in an embodiment of the application;

FIG. 2 is a second flow chart of the Internet of things sensing method based on computer vision according to the embodiment of the application;

FIG. 3 is a third flow chart of the Internet of things sensing method based on computer vision according to the embodiment of the application;

FIG. 4 is a flowchart of a method for Internet of things sensing based on computer vision according to an embodiment of the present application;

FIG. 5 is a flowchart of a method for Internet of things sensing based on computer vision according to an embodiment of the present application;

FIG. 6 is a flowchart of a method for Internet of things sensing based on computer vision according to an embodiment of the present application;

FIG. 7 is a block diagram of an Internet of things sensing device based on computer vision in an embodiment of the present application;

FIG. 8 is a block diagram of a computer vision based Internet of things perception system in an embodiment of the present application;

fig. 9 is a schematic structural diagram of an electronic device in an embodiment of the present application.

Detailed Description

For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, 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 apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.

The data acquisition, storage, use, processing and the like in the technical scheme meet the relevant regulations of national laws and regulations.

Considering the problems that in the prior art, parking efficiency of a parking lot is poor, parking space finding is difficult and road blockage in the parking lot is easy to occur, and certain influence is brought to the use of an operation management system, the application provides an Internet of things sensing method, an Internet of things sensing device and an Internet of things sensing system based on computer vision, which are used for carrying out license plate recognition on vehicles according to a preset parking lot database after the intelligent gateway monitors that the vehicles enter an entrance gateway of the parking lot through a camera of the parking lot, and determining corresponding target parking spaces according to a license plate recognition result; the method comprises the steps of determining a corresponding vehicle driving route according to the current position of the vehicle and the preset position of the target parking space, determining a to-be-driven route and a driven route of the vehicle according to the real-time position of the vehicle on the vehicle driving route, and sending a lighting instruction corresponding to the to-be-driven route and a light turning-off instruction corresponding to the driven route to a ground running light group of a parking lot, so that a computer vision technology and an Internet of things sensing technology can be effectively combined, and the intellectualization of parking lot management is improved.

In order to effectively combine a computer vision technology and an internet of things sensing technology and improve the intellectualization of parking lot management, the application provides an embodiment of an internet of things sensing method based on computer vision, which is applied to an intelligent gateway, wherein the intelligent gateway is electrically connected with a parking lot ground flow lamp group, a parking lot camera and a guide screen, and referring to fig. 1, the internet of things sensing method based on computer vision specifically comprises the following contents:

step S101: after a vehicle is monitored to enter a parking lot entrance barrier gate through a parking lot camera, carrying out license plate recognition on the vehicle according to a preset parking lot database, and determining a corresponding target parking place according to a license plate recognition result;

optionally, the present embodiment relates to a camera system disposed near an entrance gateway of the parking lot. These cameras can the real-time supervision vehicle get into the condition. This step involves techniques in the fields of image processing, computer vision, etc., and by monitoring the image stream from the camera in real time, the system can identify the in and out status of the vehicle. Once the vehicle is monitored for entry into the parking lot, the system then identifies the license plate of the vehicle by license plate identification techniques. This involves techniques such as Optical Character Recognition (OCR) where the system can accurately recognize the letters and numbers on the license plate by the character information in the image. This is a critical link that determines the accuracy of subsequent vehicle management and parking space allocation.

It can be appreciated that the system of this embodiment further includes a preset parking lot database, in which information about each parking space in the parking lot is stored, including a parking space number, a status (free or occupied), a location, and the like. The database plays a key role in the embodiment, and provides a reference for the allocation of the parking spaces after the vehicles enter.

Optionally, in this embodiment, the system may search the corresponding vehicle information in the preset parking lot database according to the result of license plate recognition. At the same time, the system can also determine the parking space currently required by the vehicle. The key of the step is that the system can be quickly and accurately matched with the target parking space through license plate information, so that vehicles can be ensured to be parked orderly in the parking lot.

Finally, once the target parking space is confirmed, the system can send a signal to a control system of the parking lot to control the corresponding barrier gate to open, so that the vehicle can smoothly enter the target parking space. The step involves the interface and communication with the parking lot control system, so as to ensure the coordination and real-time performance of the whole process.

Therefore, the embodiment combines the technologies of a plurality of fields such as image processing, license plate recognition, database management and the like, and an intelligent parking lot management system is constructed. Through monitoring, discernment and the matching to the vehicle, the system can carry out the parking stall distribution effectively, promotes the intelligent level of parking area management, has improved the user experience after the vehicle gets into the parking area simultaneously. The technical scheme improves the efficiency of the parking lot, reduces manual intervention and provides more convenience for parking the vehicle.

Step S102: determining a corresponding vehicle driving route according to the current position of the vehicle and the preset position of the target parking space, determining a to-be-driven route and a driven route of the vehicle according to the real-time position of the vehicle on the vehicle driving route, and sending a lighting instruction corresponding to the to-be-driven route and a lighting instruction corresponding to the driven route to a ground running light group of a parking lot;

optionally, in this embodiment, after the vehicle enters the target parking space, the system further determines a driving route of the vehicle. The step involves the current vehicle position and the preset position of the target parking space, and the system needs to plan an optimal driving route to ensure that the vehicle can safely and efficiently reach the target parking space. This may include consideration of road structure, driving direction, etc. within the parking lot. Once the route is determined, the system begins to monitor the real-time position of the vehicle on the route. The method comprises the steps of acquiring current position information of a vehicle through vehicle-mounted equipment or other positioning devices by a system. From these information, the system can determine the to-be-driven route and the already-driven route of the vehicle, i.e., the route the vehicle is about to drive and the already-passed route.

Optionally, in this embodiment, in order to improve the operation efficiency of the parking lot and the intelligent level of vehicle management, the system sends a corresponding instruction to the parking lot ground running light group. This step involves sending a light-on command corresponding to the route to be traveled to the running light, and a light-off command corresponding to the traveled route. Therefore, the running light in the parking lot can reflect the running state of the vehicle in real time, and visual references are provided for other vehicles and parking lot staff.

Through the steps, the system not only provides planning and monitoring of the vehicle driving route, but also realizes real-time feedback of the vehicle state through interaction with equipment in the parking lot. The intelligent management system enables parking lot management to be more intelligent, provides real-time and accurate information for vehicles and parking lot workers, and improves the overall management level of the parking lot. The system has the innovation points that the overall control of the running state of the vehicle in the parking lot is realized through the real-time monitoring of the running route of the vehicle and the instruction feedback of the running lights, and more convenient and efficient parking service is provided.

Step S103: receiving a vehicle searching instruction sent by a user through a guide screen, determining a corresponding target parking space according to the vehicle searching instruction and the preset parking lot database, determining a corresponding personnel traveling route according to the real-time position of the user and the preset position of the target vehicle, and sending a lighting instruction corresponding to the personnel traveling route to the parking lot ground running light group;

Optionally, in this embodiment, the user may send the vehicle searching instruction through the guide screen. This step involves communication with the guide screen and information reception. When the user feels that the vehicle needs to be found, a vehicle finding instruction is sent to the system through the guide screen, and the subsequent positioning and route planning flow is triggered. After receiving a vehicle searching instruction of a user, the system determines a corresponding target parking space according to the instruction and information in a preset parking lot database. The step is similar to the determination of a target parking space when the vehicle enters, and the position of the user vehicle is found by matching information in a database.

After the target parking space is determined, the system starts planning the travel route of the personnel. This step involves the real-time location of the user and the preset location of the target vehicle, and the system needs to determine an optimal route of travel to ensure that the user can reach the location of the target vehicle efficiently. This may include consideration of road structure, walking direction, etc. within the parking lot.

Finally, in order to guide the user to go to the target parking space along the planned travel route, the system sends a lighting instruction corresponding to the personnel travel route to the ground running light group of the parking lot. The step provides visual guidance for the user by controlling the state of the running light, and ensures that the user can conveniently find the target parking space.

Through the series of steps, the system of the embodiment realizes the intelligent service of the user for searching the vehicle. And the user sends a vehicle searching instruction through the guide screen, the system finds a target parking space through matching with the database, and an optimal personnel travelling route is planned. Meanwhile, through the lighting instruction of the running light, the system provides real-time guiding information, so that a user can quickly and accurately find the vehicle. The intelligent user service not only improves the overall management level of the parking lot, but also provides more convenient parking experience for users.

Step S104: and after the user is monitored to reach the preset position of the target parking space, sending a lighting instruction corresponding to the vehicle running route to the ground running light group of the parking space so as to guide the user to drive the vehicle to the exit barrier gate of the parking space.

Optionally, in this embodiment, once the system monitors that the user has reached the preset position of the target parking space, for example, by using a vehicle-mounted device or other positioning device, the system immediately senses that the user has reached the preset vehicle position. After confirming that the user reaches the target parking space, the system sends a lighting instruction corresponding to the vehicle travelling route to the parking ground running light group. This step is to guide the user to go from the target parking place to the exit gate of the parking lot along the preset vehicle travel route. Through the lighting instruction of the running light, the system provides visual guiding information, so that a user can drive the vehicle to leave the parking lot more easily.

The lighting instruction of the running light group guides the user to move forward according to the running route of the vehicle, so that the user can drive to the exit road gate of the parking lot along the optimal path. The purpose of this step is to provide navigation assistance, ensuring safe and smooth travel of the user in the parking lot.

Through the steps, the intelligent guiding service for the whole parking process of the user is realized by the system of the embodiment. The whole process is intelligently managed and guided by the system from the time when the user searches for the parking space, the time when the user arrives at the target parking space and the time when the user leaves the parking space. The intelligent parking system not only improves the management efficiency of the parking lot, but also provides more convenient parking service experience for users.

As can be seen from the above description, in the internet of things sensing method based on computer vision provided in the embodiments of the present application, after a vehicle is monitored to enter a parking lot entrance gateway through a parking lot camera by an intelligent gateway, license plate recognition is performed on the vehicle according to a preset parking lot database, and a corresponding target parking space is determined according to a result of the license plate recognition; the method comprises the steps of determining a corresponding vehicle driving route according to the current position of the vehicle and the preset position of the target parking space, determining a to-be-driven route and a driven route of the vehicle according to the real-time position of the vehicle on the vehicle driving route, and sending a lighting instruction corresponding to the to-be-driven route and a light turning-off instruction corresponding to the driven route to a ground running light group of a parking lot, so that a computer vision technology and an Internet of things sensing technology can be effectively combined, and the intellectualization of parking lot management is improved.

In an embodiment of the internet of things sensing method based on computer vision, referring to fig. 2, the following may be further specifically included:

step S201: monitoring the real-time position of the user through a camera of a parking lot, and updating the corresponding personnel travelling route in real time according to the real-time position and the preset position of the target parking space;

step S202: and determining a to-be-travelled route and a travelled route of the user according to the personnel travelling route and the real-time position of the user, and sending a lighting instruction corresponding to the to-be-travelled route and a lighting instruction corresponding to the travelled route to a parking lot ground running light group.

Optionally, in this embodiment, the parking lot camera continuously monitors the real-time position of the user during the whole process of the user traveling. This step utilizes computer vision techniques, and the system is able to track and update the current location of the user by processing the images captured by the cameras in real time.

The embodiment can update the travelling route of the personnel in real time based on the real-time position of the user and the preset position of the target parking space. This involves a path planning algorithm to ensure that the user is travelling in the latest situation. By dynamically updating the travel route, the system is able to cope with changes that may occur in the user's travel, such as detouring, stay, etc. Based on the updated personnel travel route, the system determines a user's route to be traveled and a route that has been traveled. The route to be traveled refers to a road segment that the user has not traveled, and the traveled route refers to a road segment that the user has passed. This step involves the division of routes and the management of the state, ensuring that the system can accurately understand the current driving state of the user.

And finally, the system sends a lighting instruction corresponding to the route to be traveled and a lighting off instruction corresponding to the traveled route to the parking lot ground running light group. This step ensures that the running light group can reflect the current running state of the user in time, and provides visual guiding information for the user. By continuously updating the light status, the system enables the user to conveniently follow the latest travel route to reach the target parking space or leave the parking lot.

Through the steps, the system of the embodiment realizes the real-time updating of the travelling route of the user and the intelligent control of the running light. When a user runs in the parking lot, the system can dynamically adjust the running route, so that the user can drive safely and efficiently. Meanwhile, through the instruction of the running light, the system provides real-time guiding information, so that a user can easily follow the latest travel route to finish the parking or leaving operation. The intelligent guiding service provides a more convenient and efficient parking experience for users.

In an embodiment of the internet of things sensing method based on computer vision, referring to fig. 3, the following may be further specifically included:

step S301: monitoring whether the user reaches a preset position of the target parking space or not through a parking lot camera;

Step S302: if yes, monitoring the real-time position of the vehicle through the parking lot camera, and updating the corresponding vehicle driving route in real time according to the real-time position and the preset position of the parking lot exit road gate;

step S303: and determining a to-be-driven route and a driven route of the vehicle according to the vehicle driving route and the real-time position of the vehicle, and sending a lighting instruction corresponding to the to-be-driven route and a light turning-off instruction corresponding to the driven route to a parking lot ground running water lamp group.

Optionally, in this embodiment, during the travelling process of the user, the parking lot camera continuously monitors whether the user reaches the preset position of the target parking space. The method comprises the step of processing images captured by a camera in real time, and judging whether a user successfully arrives at a target parking space or not by the system. If it is detected that the user has reached the target parking space, the system triggers further processing. For example, the system monitors the real-time position of the vehicle via the parking lot camera. By processing the images captured by the cameras in real time, the system is able to track and update the current location of the vehicle. And updating the driving route of the vehicle in real time by the system according to the real-time position of the vehicle and the preset position of the exit barrier gate of the parking lot. This step involves a path planning algorithm to ensure that the vehicle can travel in the latest situation. The system determines a to-be-driven route and a driven route of the vehicle according to the updated vehicle driving route. This includes a to-be-driven route referring to a road section through which the vehicle has not driven, and a driven route referring to a road section through which the vehicle has passed.

And finally, the system sends a lighting instruction corresponding to the route to be driven and a lighting off instruction corresponding to the route already driven to the parking lot ground running water lamp group. This step ensures that the running light group can reflect the current running state of the vehicle in time, and provides visual guiding information for the user.

Through the series of steps, the intelligent guiding service for the user after reaching the target parking space is realized by the system. Whether the real-time route of the user in the advancing process is updated or the vehicle is guided after the user arrives at the target parking space, the system provides omnibearing intelligent parking guiding service through the cooperative action of equipment such as a running light, a camera and the like, so that the user can more conveniently and safely finish the parking process.

In an embodiment of the internet of things sensing method based on computer vision, referring to fig. 4, the following may be further specifically included:

step S401: monitoring the current position of the vehicle through a camera of a parking lot, and determining a corresponding vehicle driving route according to the current position and the preset position of the target parking space;

step S402: and monitoring the congestion state on the vehicle driving route through the parking lot camera, and updating the vehicle driving route according to a preset parking lot driving route map when the front part is judged to be in a serious congestion state.

Optionally, in this embodiment, during the running process of the vehicle, the parking lot camera continuously monitors the current position of the vehicle. By processing the images captured by the cameras in real time, the system can accurately track and update the current position of the vehicle.

Specifically, the embodiment may determine the corresponding vehicle driving route based on the current position of the vehicle and the preset position of the target parking space by the system. The step ensures that the vehicle can run according to the optimal path through a path planning algorithm so as to avoid congestion as much as possible and improve the running efficiency.

Optionally, in this embodiment, the camera may continuously monitor a congestion state on the vehicle driving route. By processing the image data in real time, the system can acquire real-time traffic conditions on the driving route, including information such as vehicle density, driving speed and the like. And the system judges whether the front is in a serious congestion state or not according to the congestion state monitored by the camera. If congestion is detected on the road ahead, the system proceeds to the next process. And when the front is judged to be in a serious congestion state, the system updates according to a preset parking lot driving route map. Strategies such as detouring or routing may be taken to avoid areas of congestion, ensuring that the vehicle is able to travel to the destination more quickly.

Through the series of steps, the system of the embodiment realizes real-time monitoring and updating of the running route of the vehicle. The system can flexibly adjust the running route of the vehicle, improve the running efficiency and ensure that the vehicle can run more smoothly in the parking lot by detecting the congestion condition through the camera. The intelligent route adjustment mechanism effectively improves the flexibility and efficiency of traffic management of the parking lot.

In an embodiment of the internet of things sensing method based on computer vision, referring to fig. 5, the following may be further specifically included:

step S501: monitoring whether personnel and/or vehicles in a moving state exist in each area set by the parking lot through a camera of the parking lot;

step S502: if yes, sending a lighting instruction to the parking lot searchlight group corresponding to the area.

Optionally, in this embodiment, the parking lot camera continuously monitors whether a person and/or a vehicle in a moving state exists in each area set in the parking lot. By means of a real-time image processing technology, the system can detect moving targets such as pedestrians or vehicles in different areas of the parking lot. If the camera monitors that a person and/or a vehicle in a moving state exists in a certain area, the system enters the next step of processing. For example, the system sends a lighting instruction to a parking lot floodlight group corresponding to an area where the movement state is monitored. The step improves the illumination intensity of the area by controlling the light state, provides better visibility for pedestrians and vehicles, and plays a role in safety reminding to a certain extent.

Through the series of steps, the system realizes real-time monitoring of the moving state in each area of the parking lot and intelligent control of corresponding illumination. Once the camera detects that a certain area has activity, the system enhances illumination through a lighting instruction, provides better illumination environment for pedestrians and vehicles in the area, and improves the overall safety of the parking lot. The intelligent illumination control system effectively improves the management level of the parking lot, so that the intelligent illumination control system can better adapt to the requirements under different scenes.

In an embodiment of the internet of things sensing method based on computer vision, referring to fig. 6, the following may be further specifically included:

step S601: monitoring whether the vehicle reaches a preset position of a corresponding target parking space or not through a parking lot camera;

step S602: if yes, sending a lighting instruction to the parking lot searchlight group corresponding to the preset position.

Optionally, in the parking lot camera monitoring, the system monitors in real time whether the vehicle has reached a preset position of a corresponding target parking space. Through the image processing technology, the system can judge the relative relation between the vehicle position and the target parking space. Once the camera monitors that the vehicle has reached the preset position of the corresponding target parking space, the system enters the next step of processing. For example, the system sends a lighting instruction to a parking lot searchlight group corresponding to the preset position of the target parking space. The lighting intensity near the target parking space is improved by controlling the light state, and a better lighting environment is provided for parking of vehicles and walking of pedestrians.

Through the series of steps, the system of the embodiment realizes real-time monitoring and intelligent control of corresponding illumination for the vehicle reaching the target parking space. Once the camera detects that the vehicle has stopped at the target parking space, the system improves the illumination of the area through the lighting instruction, provides better visibility for vehicle parking and pedestrian walking, and simultaneously improves the overall safety of the parking lot. The intelligent lighting control system makes the parking lot more intelligent and safer.

In order to effectively combine a computer vision technology and an internet of things sensing technology and improve the intellectualization of parking management, the present application provides an embodiment of a computer vision-based internet of things sensing device for implementing all or part of the content of the computer vision-based internet of things sensing method, referring to fig. 7, the computer vision-based internet of things sensing device specifically includes the following contents:

the target parking space determining module 10 is used for carrying out license plate recognition on the vehicle according to a preset parking lot database after the vehicle is monitored to enter a parking lot entrance barrier through a parking lot camera, and determining a corresponding target parking space according to a license plate recognition result;

The intelligent vehicle guiding module 20 is configured to determine a corresponding vehicle driving route according to a current position of the vehicle and a preset position of the target parking space, determine a to-be-driven route and a driven route of the vehicle according to a real-time position of the vehicle on the vehicle driving route, and send a lighting instruction corresponding to the to-be-driven route and a lighting instruction corresponding to the driven route to a parking lot ground running light group;

the intelligent personnel guiding module 30 is configured to receive a vehicle searching instruction sent by a user through a guiding screen, determine a corresponding target parking space according to the vehicle searching instruction and the preset parking lot database, determine a corresponding personnel travelling route according to a real-time position of the user and a preset position of the target vehicle, and send a lighting instruction corresponding to the personnel travelling route to the parking lot ground running water lamp group;

and the delivery guiding module 40 is configured to send a lighting instruction corresponding to a vehicle running route to the parking lot floor running light group after detecting that the user reaches the preset position of the target parking space, so as to guide the user to drive the vehicle to the parking lot exit gate.

As can be seen from the above description, the internet of things sensing device based on computer vision provided in the embodiments of the present application can identify a license plate of a vehicle according to a preset parking lot database after detecting that the vehicle enters a parking lot entrance gateway through a parking lot camera by an intelligent gateway, and determine a corresponding target parking space according to a result of the license plate identification; the method comprises the steps of determining a corresponding vehicle driving route according to the current position of the vehicle and the preset position of the target parking space, determining a to-be-driven route and a driven route of the vehicle according to the real-time position of the vehicle on the vehicle driving route, and sending a lighting instruction corresponding to the to-be-driven route and a light turning-off instruction corresponding to the driven route to a ground running light group of a parking lot, so that a computer vision technology and an Internet of things sensing technology can be effectively combined, and the intellectualization of parking lot management is improved.

In order to effectively combine a computer vision technology and an internet of things sensing technology and improve the intellectualization of parking management, the application provides an embodiment of a computer vision-based internet of things sensing system for realizing all or part of contents of the computer vision-based internet of things sensing method, referring to fig. 8, the computer vision-based internet of things sensing system specifically includes the following contents: the intelligent gateway is electrically connected with the parking lot ground running water lamp group, the parking lot camera and the guide screen;

The intelligent gateway comprises:

As can be seen from the above description, in the internet of things sensing system based on computer vision provided in the embodiments of the present application, after a vehicle is monitored to enter a parking lot entrance gateway through a parking lot camera by an intelligent gateway, license plate recognition is performed on the vehicle according to a preset parking lot database, and a corresponding target parking space is determined according to a result of the license plate recognition; the method comprises the steps of determining a corresponding vehicle driving route according to the current position of the vehicle and the preset position of the target parking space, determining a to-be-driven route and a driven route of the vehicle according to the real-time position of the vehicle on the vehicle driving route, and sending a lighting instruction corresponding to the to-be-driven route and a light turning-off instruction corresponding to the driven route to a ground running light group of a parking lot, so that a computer vision technology and an Internet of things sensing technology can be effectively combined, and the intellectualization of parking lot management is improved.

In order to effectively combine a computer vision technology and an internet of things sensing technology in terms of hardware, and improve the intelligentization of parking management, the application provides an embodiment of an electronic device for implementing all or part of contents in the internet of things sensing method based on computer vision, wherein the electronic device specifically comprises the following contents:

a processor (processor), a memory (memory), a communication interface (Communications Interface), and a bus; the processor, the memory and the communication interface complete communication with each other through the bus; the communication interface is used for realizing information transmission between the internet of things sensing device based on computer vision and related equipment such as a core service system, a user terminal, a related database and the like; the logic controller may be a desktop computer, a tablet computer, a mobile terminal, etc., and the embodiment is not limited thereto. In this embodiment, the logic controller may refer to the embodiment of the internet of things sensing method based on computer vision and the embodiment of the internet of things sensing device based on computer vision in the embodiments, and the contents thereof are incorporated herein and are not repeated here.

It is understood that the user terminal may include a smart phone, a tablet electronic device, a network set top box, a portable computer, a desktop computer, a Personal Digital Assistant (PDA), a vehicle-mounted device, a smart wearable device, etc. Wherein, intelligent wearing equipment can include intelligent glasses, intelligent wrist-watch, intelligent bracelet etc..

In practical applications, part of the internet of things sensing method based on computer vision may be performed on the electronic device side as described above, or all operations may be performed in the client device. Specifically, the selection may be made according to the processing capability of the client device, and restrictions of the use scenario of the user. The present application is not limited in this regard. If all operations are performed in the client device, the client device may further include a processor.

The client device may have a communication module (i.e. a communication unit) and may be connected to a remote server in a communication manner, so as to implement data transmission with the server. The server may include a server on the side of the task scheduling center, and in other implementations may include a server of an intermediate platform, such as a server of a third party server platform having a communication link with the task scheduling center server. The server may include a single computer device, a server cluster formed by a plurality of servers, or a server structure of a distributed device.

Fig. 9 is a schematic block diagram of a system configuration of an electronic device 9600 of an embodiment of the present application. As shown in fig. 9, the electronic device 9600 may include a central processor 9100 and a memory 9140; the memory 9140 is coupled to the central processor 9100. Notably, this fig. 9 is exemplary; other types of structures may also be used in addition to or in place of the structures to implement telecommunications functions or other functions.

In one embodiment, the internet of things sensing method based on computer vision may be integrated into the cpu 9100. The central processor 9100 may be configured to perform the following control:

As can be seen from the above description, in the electronic device provided by the embodiment of the present application, after a vehicle is monitored by an intelligent gateway through a parking lot camera to enter a parking lot entrance gateway, license plate recognition is performed on the vehicle according to a preset parking lot database, and a corresponding target parking space is determined according to a result of the license plate recognition; the method comprises the steps of determining a corresponding vehicle driving route according to the current position of the vehicle and the preset position of the target parking space, determining a to-be-driven route and a driven route of the vehicle according to the real-time position of the vehicle on the vehicle driving route, and sending a lighting instruction corresponding to the to-be-driven route and a light turning-off instruction corresponding to the driven route to a ground running light group of a parking lot, so that a computer vision technology and an Internet of things sensing technology can be effectively combined, and the intellectualization of parking lot management is improved.

In another embodiment, the internet of things sensing device based on computer vision may be configured separately from the central processor 9100, for example, the internet of things sensing device based on computer vision may be configured as a chip connected to the central processor 9100, and the internet of things sensing method function based on computer vision is implemented by control of the central processor.

As shown in fig. 9, the electronic device 9600 may further include: a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It is noted that the electronic device 9600 need not include all of the components shown in fig. 9; in addition, the electronic device 9600 may further include components not shown in fig. 9, and reference may be made to the related art.

As shown in fig. 9, the central processor 9100, sometimes referred to as a controller or operational control, may include a microprocessor or other processor device and/or logic device, which central processor 9100 receives inputs and controls the operation of the various components of the electronic device 9600.

The memory 9140 may be, for example, one or more of a buffer, a flash memory, a hard drive, a removable media, a volatile memory, a non-volatile memory, or other suitable device. The information about failure may be stored, and a program for executing the information may be stored. And the central processor 9100 can execute the program stored in the memory 9140 to realize information storage or processing, and the like.

The input unit 9120 provides input to the central processor 9100. The input unit 9120 is, for example, a key or a touch input device. The power supply 9170 is used to provide power to the electronic device 9600. The display 9160 is used for displaying display objects such as images and characters. The display may be, for example, but not limited to, an LCD display.

The memory 9140 may be a solid state memory such as Read Only Memory (ROM), random Access Memory (RAM), SIM card, etc. But also a memory which holds information even when powered down, can be selectively erased and provided with further data, an example of which is sometimes referred to as EPROM or the like. The memory 9140 may also be some other type of device. The memory 9140 includes a buffer memory 9141 (sometimes referred to as a buffer). The memory 9140 may include an application/function storage portion 9142, the application/function storage portion 9142 storing application programs and function programs or a flow for executing operations of the electronic device 9600 by the central processor 9100.

The memory 9140 may also include a data store 9143, the data store 9143 for storing data, such as contacts, digital data, pictures, sounds, and/or any other data used by an electronic device. The driver storage portion 9144 of the memory 9140 may include various drivers of the electronic device for communication functions and/or for performing other functions of the electronic device (e.g., messaging applications, address book applications, etc.).

The communication module 9110 is a transmitter/receiver 9110 that transmits and receives signals via an antenna 9111. A communication module (transmitter/receiver) 9110 is coupled to the central processor 9100 to provide input signals and receive output signals, as in the case of conventional mobile communication terminals.

Based on different communication technologies, a plurality of communication modules 9110, such as a cellular network module, a bluetooth module, and/or a wireless local area network module, etc., may be provided in the same electronic device. The communication module (transmitter/receiver) 9110 is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide audio output via the speaker 9131 and to receive audio input from the microphone 9132 to implement usual telecommunications functions. The audio processor 9130 can include any suitable buffers, decoders, amplifiers and so forth. In addition, the audio processor 9130 is also coupled to the central processor 9100 so that sound can be recorded locally through the microphone 9132 and sound stored locally can be played through the speaker 9131.

The embodiments of the present application further provide a computer readable storage medium capable of implementing all the steps in the method for perceiving an internet of things based on computer vision in which the execution subject in the above embodiments is a server or a client, and the computer readable storage medium stores a computer program thereon, where the computer program when executed by a processor implements all the steps in the method for perceiving an internet of things based on computer vision in which the execution subject in the above embodiments is a server or a client, for example, the processor implements the following steps when executing the computer program:

As can be seen from the above description, the computer readable storage medium provided in the embodiments of the present application performs license plate recognition on a vehicle according to a preset parking lot database after detecting that the vehicle enters a parking lot entrance gateway through an intelligent gateway and detecting a parking lot camera, and determines a corresponding target parking space according to a result of the license plate recognition; the method comprises the steps of determining a corresponding vehicle driving route according to the current position of the vehicle and the preset position of the target parking space, determining a to-be-driven route and a driven route of the vehicle according to the real-time position of the vehicle on the vehicle driving route, and sending a lighting instruction corresponding to the to-be-driven route and a light turning-off instruction corresponding to the driven route to a ground running light group of a parking lot, so that a computer vision technology and an Internet of things sensing technology can be effectively combined, and the intellectualization of parking lot management is improved.

The embodiments of the present application further provide a computer program product capable of implementing all the steps in the internet of things sensing method based on computer vision in which the execution subject in the above embodiments is a server or a client, where the computer program/instructions, when executed by a processor, implement the steps of the internet of things sensing method based on computer vision, for example, the computer program/instructions implement the steps of:

As can be seen from the above description, after the intelligent gateway monitors that the vehicle enters the parking lot entrance gateway through the parking lot camera, the computer program product provided by the embodiment of the present application carries out license plate recognition on the vehicle according to the preset parking lot database, and determines the corresponding target parking space according to the result of the license plate recognition; the method comprises the steps of determining a corresponding vehicle driving route according to the current position of the vehicle and the preset position of the target parking space, determining a to-be-driven route and a driven route of the vehicle according to the real-time position of the vehicle on the vehicle driving route, and sending a lighting instruction corresponding to the to-be-driven route and a light turning-off instruction corresponding to the driven route to a ground running light group of a parking lot, so that a computer vision technology and an Internet of things sensing technology can be effectively combined, and the intellectualization of parking lot management is improved.

It will be apparent to those skilled in the art that embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

The principles and embodiments of the present invention have been described in detail with reference to specific examples, which are provided to facilitate understanding of the method and core ideas of the present invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.

Claims

1. The utility model provides an thing allies oneself with perception method based on computer vision which characterized in that is applied to an intelligent gateway, intelligent gateway is connected with parking area ground running water lamp group, parking area camera and guide screen electricity, the method includes:

2. The internet of things sensing method based on computer vision according to claim 1, wherein the determining a corresponding person traveling route according to the real-time position of the user and the preset position of the target vehicle and transmitting a lighting command corresponding to the person traveling route to the parking lot ground running light group comprises:

3. The internet of things sensing method based on computer vision according to claim 1, wherein the sending a lighting instruction corresponding to a vehicle travel route to the parking lot ground running light group after the user is monitored to reach the preset position of the target parking space comprises:

4. The internet of things sensing method based on computer vision according to claim 1, wherein the determining a corresponding vehicle driving route according to the current position of the vehicle and the preset position of the target parking space comprises:

5. The computer vision-based internet of things sensing method of claim 1, further comprising:

6. The computer vision-based internet of things sensing method of claim 1, further comprising, after the monitoring of the vehicle entering the parking lot entrance gateway by the parking lot camera:

7. An internet of things sensing device based on computer vision, the device comprising:

8. An internet of things perception system based on computer vision, the system comprising: the intelligent gateway is electrically connected with the parking lot ground running water lamp group, the parking lot camera and the guide screen;

the intelligent gateway comprises:

9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the computer vision based internet of things perception method as claimed in any of claims 1 to 6 when the program is executed.

10. A computer readable storage medium having stored thereon a computer program, which when executed by a processor realizes the steps of the computer vision based internet of things perception method according to any of claims 1 to 6.