CN115022539A - High-level intelligent parking camera adjusting method and system - Google Patents
High-level intelligent parking camera adjusting method and system Download PDFInfo
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Abstract
The invention discloses a high-level intelligent parking camera adjusting method, which comprises the steps of obtaining pictures within the visual angle range of a high-level intelligent parking camera; identifying an outer frame of a target object in the picture based on a pre-established target object identification model, wherein the target object is placed on the key point of the parking position; and adjusting the parameter setting of the high-level intelligent parking camera according to the identified outer frame of the target object. By placing identifiable target objects on the berth key points, the camera adjusts parameters of the camera by means of object identification by means of a pre-established target object identification model. Therefore, the workload of personnel participation in the installation and debugging process of the high-position intelligent parking camera can be reduced, and the working efficiency and the accuracy are improved.
Description
Technical Field
The invention relates to the technical field of intelligent parking, in particular to a high-position intelligent parking camera adjusting method and system.
Background
Wisdom parking is an important ring in intelligent city construction, and the in-road parking of make full use of urban road is the important component part that realizes wisdom parking. The high-level video is an important solution for solving the charging and monitoring of parking in roads, and more cities upgrade previous devices such as geomagnetism, parking meters, ground locks and the like into high-level video devices. However, the high-level intelligent parking camera needs to have proper angle and focal length for normal work, and generally has multiple configuration modes: one is that one person operates and rotates the high-position intelligent parking camera in the air, and the other person checks the imaging definition and angle of the camera according to the terminal and informs the operators in the air to operate; in the other method, after installation, manual angle adjustment is carried out in a wireless or remote mode.
The high-altitude operation is needed in the installation process, and various adjustment modes are basically carried out by cooperation of a plurality of people, so that the actual landing process is inconvenient, and the efficiency is low.
Disclosure of Invention
The main purposes of the invention are as follows: aiming at the problems that the efficiency is low due to the fact that the existing high-level intelligent parking camera needs manual deep intervention in the installation process, and mistakes are easy to occur due to the fact that multiple persons need to cooperate on site or the depth configuration afterwards, the high-level intelligent parking camera adjusting method and the high-level intelligent parking camera adjusting system are provided.
In order to achieve the above object, the present invention provides a method for adjusting a high-level intelligent parking camera, which is characterized by comprising the following steps:
acquiring pictures within the visual angle range of the high-level intelligent parking camera;
identifying an outer frame of a target object in the picture based on a pre-established target object identification model, wherein the target object is placed on a parking key point; and
and adjusting the parameter setting of the high-level intelligent parking camera according to the identified outer frame of the target object.
In the high-level intelligent parking camera adjusting method provided by the present invention, if a plurality of target objects are identified in the step of identifying the outer frame of the target object in the picture based on the pre-established target object identification model, the method further comprises:
selecting one of the target objects as the identifier;
converting the visual angle coordinate of the high-level intelligent parking camera into the coordinate of the marker;
and identifying by taking the adjusted visual angle coordinate as a center.
In the method for adjusting the high-level intelligent parking camera provided by the invention, in the step of adjusting the parameter setting of the high-level intelligent parking camera according to the identified outer frame of the target object, the focal length of the high-level intelligent parking camera is adjusted according to the image definition evaluation value in the frame of the outer frame of the target object until the maximum definition evaluation value is obtained, and the focal length at the moment is recorded and stored.
The high-position intelligent parking camera adjusting method provided by the invention further comprises the following steps:
and after the target object is identified, controlling the holder to move so as to adjust the position of the target object to the center of the picture, recording the position of the holder at the moment and storing the position.
In addition, in order to achieve the above object, the present invention further provides a high-level intelligent parking camera adjusting system, including:
the image acquisition module is used for acquiring images within the visual angle range of the high-level intelligent parking camera;
the target object identification module is used for identifying an outer frame of a target object in the picture based on a pre-established target object identification model, and the target object is placed on the parking key point; and
and the parameter adjusting module is used for adjusting the parameter setting of the high-level intelligent parking camera according to the identified outer frame of the target object.
In the high-level intelligent parking camera adjusting system provided by the invention, the system further comprises:
the marker selecting module is used for selecting one target object as a marker when the target object identifying module identifies a plurality of target objects;
the coordinate conversion module is used for converting the visual angle coordinate of the high-position intelligent parking position parking camera into the coordinate of the marker;
and the target object identification module identifies by taking the adjusted visual angle coordinate as a center.
In the high-level intelligent parking camera adjusting system provided by the invention, the parameter adjusting module adjusts the focal length of the high-level intelligent parking camera according to the frame image definition evaluation value of the outer frame of the target object until the maximum definition evaluation value is obtained, and records and stores the focal length at the moment.
In the high-level intelligent parking camera adjusting system provided by the invention, the system further comprises:
and the holder control module is used for controlling the holder to move so as to adjust the position of the target object to the center of the picture after the target object is identified, and recording and storing the position of the holder at the moment.
The present invention also provides a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the method for adjusting a high-level intelligent parking camera as described above.
The high-position intelligent parking camera adjusting system and method provided by the invention have the following beneficial effects: the invention provides a high-position intelligent parking camera adjusting method, which comprises the steps of obtaining pictures within the visual angle range of a high-position intelligent parking camera; identifying an outer frame of a target object in the picture based on a pre-established target object identification model; adjusting the parameter setting of the high-level intelligent parking camera according to the identified outer frame of the target object; by placing identifiable target objects on the key points of the berthing positions, the camera adjusts parameters of the camera in an object identification mode by utilizing a pre-established target object identification model. Therefore, the workload of personnel participating in the installation and debugging process of the high-level intelligent parking camera can be reduced, and the working efficiency and the accuracy are improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts:
fig. 1 is a flowchart illustrating a method for adjusting a high-level intelligent parking camera according to an embodiment of the present invention.
Detailed Description
To facilitate an understanding of the invention, the invention will now be described more fully with reference to the accompanying drawings. Exemplary embodiments of the invention are shown in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
The general idea of the invention is as follows: aiming at the problems that the existing high-level intelligent parking camera is low in efficiency caused by manual deep intervention in the installation process and easy to make mistakes caused by field cooperation of multiple persons or subsequent deep configuration, after the high-level intelligent parking camera is initially installed, a recognizable target object is placed on a parking key point, and the camera adjusts parameters of the camera in an object recognition mode by using a pre-established target object recognition model. Therefore, the workload of personnel participating in the installation and debugging process of the high-level intelligent parking camera can be reduced, and the working efficiency and the accuracy are improved.
In order to better understand the technical solutions, the technical solutions will be described in detail below with reference to the drawings and the specific embodiments of the specification, and it should be understood that the embodiments and specific features of the embodiments of the present invention are detailed descriptions of the technical solutions of the present application, and are not limited to the technical solutions of the present application, and the technical features of the embodiments and examples of the present invention may be combined with each other without conflict.
Referring to fig. 1, fig. 1 is a schematic diagram illustrating a method for adjusting a high-level intelligent parking camera according to an embodiment of the present invention, where the method for adjusting a high-level intelligent parking camera includes the following steps:
s1, obtaining pictures within the visual angle range of the high-position intelligent parking camera;
specifically, in an embodiment of the present invention, an installer installs the high-level intelligent parking camera on the upright post, primarily adjusts the angle so that the viewing angle range of the high-level intelligent parking camera covers the target parking space, and then starts the adjustment program of the high-level intelligent parking camera through the client. Judging whether the state of the high-level intelligent parking camera is in an uninitialized parking state, if so, starting the automatic focusing function of the high-level intelligent parking camera, and shooting a video within a visual angle range; the shot monitoring video stream is substantially continuous monitoring images, and the monitoring images are processed frame by frame based on image recognition technology. The intelligent parking space system can cover 1 or more target parking spaces according to the visual angle range of different high-level intelligent parking space cameras, and installation personnel select the target parking spaces according to experience during actual use.
Step S2, recognizing the outer frame of the target object in the picture based on the pre-established target object recognition model, wherein the target object is placed on the key point of the parking position;
specifically, in one embodiment of the present invention, after the high-level intelligent parking camera is mounted on the upright post, a target object recognizable by the high-level intelligent parking camera is placed on the parking key point. Wherein, the target object is selected from one or more of a plurality of objects which can be identified by a target object identification algorithm built in the high-level intelligent parking camera, such as a license plate, an ice cream barrel and the like; the parking key point refers to one point or a plurality of points in a planned focusing area within the visual angle range of the high-level intelligent parking camera, and the target object is placed in the planned focusing area, so that the focal length of the high-level intelligent parking camera can be conveniently adjusted according to the identified outer frame of the target object in the follow-up process.
Specifically, in an embodiment of the present invention, after obtaining a picture within a viewing angle range of the high-level intelligent parking camera, the picture is processed frame by using a pre-established target object identification model stored in the high-level intelligent parking camera, a target object in the picture is searched, and after finding the target object, an outer frame of the target object is formed according to the maximum and minimum values of x and y in all pixel coordinate points of the obtained target object. At this time, an installer can check the working state of the high-level intelligent parking position parking camera in real time through the client, for example, check the identification progress and the identification result.
Further, in an embodiment of the present invention, if a plurality of target objects are identified in the picture within the view angle range of the high-level intelligent parking camera, an installer may click one of the target objects on the client interface as an identifier, and then use the position of the identifier as the view angle coordinate of the high-level intelligent parking camera, and the high-level intelligent parking camera searches and identifies the outer frame of the identifier by using the view angle coordinate as the center.
Further, in an embodiment of the present invention, the method further includes a step of establishing a target object recognition model. Specifically, a picture of a target object (such as a license plate, an ice cream barrel, a light-emitting object and the like) for assisting parameter configuration is selected in advance, a target object recognition model is trained through a CNN deep learning method, a recognition result comprises edge lines or points and coordinates of the target object on the picture, and an outer frame of the target object is formed through the edge lines or points.
And step S3, adjusting the parameter setting of the high-level intelligent parking camera according to the identified outer frame of the target object.
Specifically, in an embodiment of the present invention, after the outer frame of the target object is recognized, the focal length of the high-level intelligent parking camera is adjusted according to the in-frame image sharpness evaluation value of the outer frame of the target object until the maximum sharpness evaluation value is obtained, and the focal length at this time is recorded and stored as the focal length of the high-level intelligent parking camera in the subsequent use. The method comprises the following steps:
firstly, calculating and recording an image definition evaluation value M1 in a frame of an outer frame of a target object, wherein the image definition evaluation value can be calculated by methods such as SMD (surface mounted device) gray variance sum and the like, and the calculation method of the image definition evaluation value is a common algorithm of a person skilled in the art, and the invention is not described herein;
then, the focal length of the high-position intelligent parking camera is increased step by step, after the focal length is increased, the steps S1 and S2 are repeated, according to the outer frame of the target object identified in the picture within the range of the newly acquired imaging visual angle, the image definition evaluation value M2 in the frame is newly acquired and compared with M1, if the definition is reduced, the focal length is reduced step by step, and if the definition is improved, the focal length is increased step by step;
then, after the focal length is adjusted, repeating the above steps S1 and S2, recalculating the in-frame image sharpness evaluation value of the outer frame of the target object, comparing the in-frame image sharpness evaluation value with the sharpness evaluation value obtained at the previous time, and continuing to adjust the focal length according to the comparison result; this process is repeated until maximum sharpness is achieved, and the focus at that time is recorded and saved.
The focal length is adjusted through the definition evaluation value, the adjusted picture of the high-position intelligent parking camera can be guaranteed to have the maximum definition, the adjustment process is automatically carried out, excessive participation of workers is not needed, and the working efficiency is improved.
Further, in an embodiment of the present invention, after the high-level intelligent parking camera identifies the target object, the pan-tilt can be controlled to move according to the identified coordinates of the target object to adjust the position of the target object to the center of the picture, so as to adjust the high-level and low-level angles of the high-level intelligent parking camera, and obtain the best imaging effect. The specific process is as follows: and setting the coordinates of the center of the picture as O (0,0) and the coordinates of the target object as T (a, b), controlling the distance from the horizontal movement (-a, -b) of the holder to the upper side and the lower side so as to place the target object at the center of the picture, and recording and storing the position of the holder at the moment.
Further, in an embodiment of the present invention, after the adjustment is completed, the high-level intelligent parking camera sends the pan/tilt position and the focus setting result of the high-level intelligent parking camera, which are obtained in the foregoing, to the mobile phone client of the installer through communication methods such as 4G/5G, wifi and bluetooth, so as to notify the installer that the adjustment is completed.
The high-level intelligent parking camera adjusting method provided by the invention automatically adjusts the focal length setting and the holder position of the high-level intelligent parking camera according to the shape of the target object by identifying the target object placed on the parking key point. The whole adjusting process does not need the field cooperation of a plurality of persons or the depth configuration afterwards, and the error probability in the adjusting process is reduced. Meanwhile, the workload of personnel participation in the installation and debugging process of the high-level intelligent video berth camera is reduced, and the working efficiency is improved.
Correspondingly, the invention also provides a high-position intelligent parking camera adjusting system, which comprises:
the image acquisition module is used for acquiring images within the visual angle range of the high-level intelligent parking camera; the visual angle range of the high-position intelligent parking camera covers one or more target parking positions, and after the automatic focusing function of the high-position intelligent parking camera is started, videos in the visual angle range are shot; the shot monitoring video stream is a continuous monitoring image substantially, and the monitoring image is processed frame by frame based on the image recognition technology to obtain pictures within the visual angle range of the high-level intelligent parking camera;
the target object identification module is used for identifying the outer frame of a target object in the picture based on a pre-established target object identification model, and the target object is placed on the parking key point; after the pictures within the visual angle range of the high-level intelligent parking camera are obtained, the pictures are processed frame by using a target object identification model which is pre-established and stored in the high-level intelligent parking camera, a target object in the pictures is searched, and after the target object is found, an outer frame of the target object is extracted according to the edge line and the point of the target object;
the parameter adjusting module is used for adjusting the parameter setting of the high-level intelligent parking camera according to the identified outer frame of the target object; the parameter adjusting module adjusts the focal length of the high-position intelligent parking camera according to the image definition evaluation value in the frame of the outer frame of the target object until the maximum definition evaluation value is obtained, and records and stores the focal length at the moment; the focal length is adjusted through the definition evaluation value, so that the adjusted picture of the high-position intelligent parking camera can have the maximum definition, the adjustment process is automatically carried out, excessive participation of workers is not needed, and the working efficiency is improved;
the holder control module is used for controlling the holder to move after the target object is identified so as to adjust the position of the target object to the center of the picture, and recording and storing the position of the holder at the moment; after the high-position intelligent parking camera identifies the target object, the holder can be controlled to move according to the coordinate of the identified target object so as to adjust the position of the target object to the center of the picture, so that the high-position and low-position angles of the high-position intelligent parking camera are adjusted, and the optimal imaging effect is obtained.
Further, in an embodiment of the present invention, the system further includes an identifier selecting module, configured to select one of the target objects as the identifier when the target object identifying module identifies multiple target objects; the coordinate conversion module is used for converting the visual angle coordinate of the high-level intelligent parking camera into the coordinate of the marker; and the target object identification module identifies by taking the adjusted visual angle coordinate as a center.
The embodiment of the invention also provides high-level intelligent parking camera adjusting equipment, which comprises:
a memory for storing a computer program;
the processor, when used for executing the computer program stored in the memory, can realize the following steps:
acquiring pictures within the visual angle range of the high-level intelligent parking camera; identifying an outer frame of a target object in the picture based on a pre-established target object identification model, wherein the target object is placed on the key point of the parking position; and adjusting the parameter setting of the high-level intelligent parking camera according to the identified outer frame of the target object.
The embodiment of the invention also provides a computer readable storage medium, the computer readable storage medium stores a computer program, and the computer program can realize the following steps when being executed by a processor;
acquiring pictures within the visual angle range of the high-position intelligent parking camera; identifying an outer frame of a target object in the picture based on a pre-established target object identification model, wherein the target object is placed on a parking key point; and adjusting the parameter setting of the high-level intelligent parking camera according to the identified outer frame of the target object.
The computer-readable storage medium may include: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM) > Random Access Memory (RAM), a magnetic disk, or an optical disk.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components in accordance with embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
Claims (10)
1. A high-level intelligent parking camera adjusting method is characterized by comprising the following steps:
acquiring pictures within the visual angle range of the high-level intelligent parking camera;
identifying an outer frame of a target object in the picture based on a pre-established target object identification model, wherein the target object is placed on a parking key point; and
and adjusting the parameter setting of the high-level intelligent parking camera according to the identified outer frame of the target object.
2. The high-level intelligent parking camera adjusting method according to claim 1, wherein if a plurality of target objects are recognized in the step of recognizing the outer frame of the target objects in the picture based on a target object recognition model established in advance, the method further comprises:
selecting one of the target objects as the identifier;
converting the visual angle coordinate of the high-level intelligent parking camera into the coordinate of the marker;
and identifying by taking the adjusted visual angle coordinate as a center.
3. The method according to claim 1, wherein in the step of adjusting the parameter settings of the intelligent high-parking camera according to the identified outer frame of the target object, the focal length of the intelligent high-parking camera is adjusted according to the in-frame image sharpness evaluation value of the outer frame of the target object until the maximum sharpness evaluation value is obtained, and the focal length at that time is recorded and saved.
4. The high-level intelligent parking camera adjusting method according to claim 1, further comprising:
and after the target object is identified, controlling the holder to move so as to adjust the position of the target object to the center of the picture, recording the position of the holder at the moment and storing the position.
5. A high-level intelligent berth parking camera adjustment system, characterized in that includes:
the image acquisition module is used for acquiring images within the visual angle range of the high-level intelligent parking camera;
the target object identification module is used for identifying the outer frame of a target object in the picture based on a pre-established target object identification model, and the target object is placed on the parking key point; and
and the parameter adjusting module is used for adjusting the parameter setting of the high-level intelligent parking camera according to the identified outer frame of the target object.
6. The high-level intelligent parking camera adjustment system of claim 5, further comprising:
the identifier selection module is used for selecting one target object as the identifier when the target object identification module identifies a plurality of target objects;
the coordinate conversion module is used for converting the visual angle coordinate of the high-level intelligent parking camera into the coordinate of the marker;
and the target object identification module identifies by taking the adjusted visual angle coordinate as a center.
7. The system for adjusting a high-level intelligent parking camera according to claim 5, wherein the parameter adjusting module adjusts the focal length of the high-level intelligent parking camera according to the in-frame image sharpness evaluation value of the outer frame of the target object until the maximum sharpness evaluation value is obtained, records the focal length at that time, and saves the focal length.
8. The high-level intelligent parking camera adjustment system of claim 5, further comprising:
and the holder control module is used for controlling the holder to move so as to adjust the position of the target object to the center of the picture after the target object is identified, and recording and storing the position of the holder at the moment.
9. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed by a processor, implements the steps of the high-level intelligent parking camera adjustment method according to any one of claims 1 to 4.
10. An apparatus for high-level intelligent parking camera adjustment, comprising a processor and a memory, the memory storing a computer program which, when executed by the processor, carries out the steps of the method for high-level intelligent parking camera adjustment according to any one of claims 1 to 4.
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| CN113747041A (en) * | 2020-05-29 | 2021-12-03 | 杭州海康威视数字技术股份有限公司 | Camera focusing method and focusing method based on recurrent neural network |
| WO2022041014A1 (en) * | 2020-08-26 | 2022-03-03 | 深圳市大疆创新科技有限公司 | Gimbal and control method and device therefor, photographing apparatus, system, and storage medium thereof |
| CN113452912A (en) * | 2021-06-25 | 2021-09-28 | 山东新一代信息产业技术研究院有限公司 | Pan-tilt camera control method, device, equipment and medium for inspection robot |
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