Camera installation and debugging auxiliary system, method and equipment and medium

Abstract

The invention discloses a camera installation and debugging auxiliary system, method and device and a medium, mainly relates to the technical field of camera installation, and aims to solve the problems that an existing installation and debugging scheme depends on manual judgment; the problems of inaccurate installation position selection, insufficient installation stability, complex software configuration, time and labor consumption in the debugging process and the like caused by operation are solved. Comprising a camera position determination module used for collecting a space image of a camera preparation placement area; determining a recommended placement position of the camera in the current space according to the light intensity of the space image and the estimated monitoring area at each position; the software configuration module is used for acquiring the model of the current camera and then downloading monitoring software corresponding to the model of the current camera through a preset software database; and the real-time adjustment module is used for returning the adjusted resolution to the monitoring software according to the monitoring image uploaded by the current monitoring software, and further adjusting the resolution of the camera through the monitoring software.

Description

Technical Field

[0001] The present application relates to the field of camera installation technology, and in particular to a camera installation and debugging auxiliary system, method, device and medium. Background Art

[0002] The existing camera installation and debugging scheme mainly includes the following key steps: ‌1. Equipment installation: According to monitoring requirements, choose a location to install the camera. ‌2. Network configuration and connection: According to the camera manual, set the correct network parameters and maintain communication with the monitoring center or other related equipment. Check the network connection. ‌3. Software setup and configuration: Install the corresponding monitoring software and configure it correctly; configure the camera's resolution, frame rate, encoding method and other parameters in the monitoring software. ‌4. Debugging and optimization: Preview the camera's picture effect in the debugging software to check whether the picture is clear, smooth, and the color is accurate. Adjust the camera's clarity, focal length, backlight and other parameters according to actual needs. Test whether the camera's motion detection, alarm function, recording function, etc. are normal.

[0003] The implementation of the above solution mainly relies on manual installation and debugging by installation and debugging personnel. Specifically, the selection of the installation location and the fixing of the camera require manual judgment and operation, which may be affected by the experience and skill level of the installer, resulting in inaccurate location selection or insufficient installation stability; the installation and configuration of the monitoring software requires manual operation, and cameras of different brands and models may require different software, which increases the complexity of the configuration; the debugging process requires manual preview of the camera's picture effect and checking of multiple aspects, such as picture clarity, smoothness, color accuracy, etc., which may require repeated adjustments and optimizations, increasing the time and cost of debugging. Summary of the invention

[0004] In view of the above-mentioned deficiencies in the prior art, the present application provides a camera installation and debugging auxiliary system, method and medium to solve the problems that the existing installation and debugging solutions rely on manual judgment, resulting in inaccurate installation location selection due to operation, insufficient installation stability, complex software configuration, and time-consuming and labor-intensive debugging process.

[0005] In a first aspect, the present application provides a camera installation and debugging auxiliary system, the system comprising: The camera position determination module is used to collect the spatial image of the area where the camera is to be placed; according to the light intensity of the spatial image and the estimated monitoring area at each position, the recommended placement position of the camera in the current space is determined; the software configuration module is used to obtain the model of the current camera, and then download the monitoring software corresponding to the current camera model through the preset software database; the real-time adjustment module is used to establish a communication connection with the monitoring software after determining that the camera placement is completed, return the adjusted resolution to the monitoring software according to the monitoring image uploaded by the current monitoring software, and then adjust the resolution of the camera through the monitoring software.

[0006] In one implementation of the present application, the camera position determination module includes a position determination unit, Used to use a device with a camera function to capture a number of collected images at a preset distance and angle in an area where a camera is to be placed; Analyze the captured spatial image, identify the light intensity distribution at each position, and mark the preparation positions where the light intensity is lower than a preset first intensity and the light intensity is higher than a preset second intensity; Use monitoring design software to mark the monitoring range and blind area size of each preparation position; From the prepared positions, select a position whose monitoring range includes the preset key position and the position with the smallest blind spot as the recommended placement position for the camera in the current space.

[0007] In one implementation of the present application, the software configuration module includes a database revision unit. Used to obtain the camera model and the corresponding monitoring software installation package through the preset database acquisition interface, and store the camera model and the corresponding monitoring software installation package download address in the preset database.

[0008] In one implementation of the present application, the real-time adjustment module includes a real-time adjustment unit. Used to identify whether there are moving objects in the monitoring images uploaded by the monitoring software. If there are moving objects, the resolution is adjusted to the preset mobile monitoring resolution; Identify the light intensity of the surveillance images uploaded by the surveillance software, and when the light intensity is lower than the preset observation intensity, adjust the resolution to the preset nighttime surveillance resolution; Identify the light intensity of the monitoring image uploaded by the monitoring software, and when the light intensity is higher than the preset observation intensity, adjust the resolution to the preset daylight monitoring resolution.

[0009] In a second aspect, the present application provides a camera installation and debugging auxiliary method, the method comprising: Collect spatial images of the area where the camera is to be placed; determine the recommended placement position of the camera in the current space based on the light intensity of the spatial image and the estimated monitoring area at each position; obtain the model of the current camera, and then download the monitoring software corresponding to the current camera model through the preset software database; when it is determined that the camera has been placed, establish a communication connection with the monitoring software, return the adjusted resolution to the monitoring software based on the monitoring image uploaded by the current monitoring software, and then adjust the resolution of the camera through the monitoring software.

[0010] In one implementation of the present application, a spatial image of the area where the camera is to be placed is collected; and a recommended placement position of the camera in the current space is determined according to the light intensity of the spatial image and the estimated monitoring area at each position, specifically including: Use a device with a camera function to take a number of collected images at a preset distance and angle in the area where the camera is to be placed; Analyze the captured spatial image, identify the light intensity distribution at each position, and mark the preparation positions where the light intensity is lower than a preset first intensity and the light intensity is higher than a preset second intensity; Use monitoring design software to mark the monitoring range and blind area size of each preparation position; From the prepared positions, select a position whose monitoring range includes the preset key position and the position with the smallest blind spot as the recommended placement position for the camera in the current space.

[0011] In one implementation of the present application, before obtaining the model of the current camera and then downloading the monitoring software corresponding to the current camera model through a preset software database, the method further includes: The camera model and the corresponding monitoring software installation package are obtained through the preset database acquisition interface, and the camera model and the download address of the corresponding monitoring software installation package are stored in the preset database.

[0012] In one implementation of the present application, according to the monitoring image uploaded by the current monitoring software, returning the adjusted resolution to the monitoring software specifically includes: Identify whether there are moving objects in the surveillance images uploaded by the surveillance software. If there are moving objects, adjust the resolution to the preset motion surveillance resolution; Identify the light intensity of the surveillance images uploaded by the surveillance software, and when the light intensity is lower than the preset observation intensity, adjust the resolution to the preset nighttime surveillance resolution; Identify the light intensity of the monitoring image uploaded by the monitoring software, and when the light intensity is higher than the preset observation intensity, adjust the resolution to the preset daylight monitoring resolution.

[0013] In a third aspect, the present application provides a camera installation and debugging auxiliary device, the device comprising: A processor; and a memory having executable codes stored thereon, which, when the executable codes are executed, cause the processor to execute a camera installation and debugging auxiliary method as described in any one of the above items.

[0014] In a fourth aspect, the present application provides a non-volatile computer storage medium having computer instructions stored thereon, which when executed implement a camera installation and debugging auxiliary method such as any of the above items.

[0015] Those skilled in the art can understand that the present application has at least the following beneficial effects: The present application provides a camera installation and debugging auxiliary system, method and medium, a camera position determination module, which is responsible for collecting the spatial image of the camera preparation placement area, and automatically determines the recommended placement position of the camera in the current space by analyzing the light intensity of the spatial image and estimating the monitoring area of ​​each position. It avoids the influence of experience and skill level that may be caused by manual selection of the position, and improves the accuracy and efficiency of position selection. The software configuration module can automatically obtain the model of the current camera and download the monitoring software of the corresponding model through the preset software database. The software configuration process is simplified and the configuration complexity caused by different brands and models of cameras requiring different software is reduced. The system can automatically identify the camera model and download the corresponding software, which improves the configuration efficiency and accuracy. The real-time adjustment module, when the camera is placed, establishes a communication connection with the monitoring software, automatically analyzes and returns the adjusted resolution to the monitoring software according to the monitoring image uploaded by the current monitoring software, and then adjusts the resolution of the camera through the monitoring software. The real-time automatic adjustment of the camera resolution is realized, avoiding the process of manual preview and repeated adjustment, saving debugging time and cost. At the same time, it ensures that the monitoring screen can remain clear and accurate under different light and environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solution of the present invention, the accompanying drawings required for use in the description will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0017] Figure 1 It is a schematic diagram of the internal structure of a camera installation and debugging auxiliary system provided in an embodiment of the present application.

[0018] Figure 2 This is a flow chart of a camera installation and debugging auxiliary method provided in an embodiment of the present application.

[0019] Figure 3It is a schematic diagram of the internal structure of a camera installation and debugging auxiliary device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0020] It should be understood by those skilled in the art that the embodiments described below are only preferred embodiments of the present disclosure, and do not mean that the present disclosure can only be implemented through the preferred embodiments. The preferred embodiments are only used to explain the technical principles of the present disclosure, and are not used to limit the protection scope of the present disclosure. Based on the preferred embodiments provided by the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work should still fall within the protection scope of the present disclosure.

[0021] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0022] The technical solution proposed in the embodiments of the present application is described in detail below with reference to the accompanying drawings.

[0023] This application Figure 1 A camera installation and debugging auxiliary system is provided in the embodiment of the present application. Figure 1 As shown, the system provided in the embodiment of the present application mainly includes: The camera position determination module 110 is used to collect a spatial image of the area where the camera is to be placed; and determine the recommended placement position of the camera in the current space based on the light intensity of the spatial image and the estimated monitoring area at each position.

[0024] It should be noted that the implementation steps of the camera position determination module 110 can be specifically as follows: 1. Spatial image acquisition: Use high-precision cameras or smart phones and other devices to collect spatial images of the area where the camera is to be placed from all directions and angles. Ensure that the image is clear and can accurately reflect key information such as spatial layout and light distribution.

[0025] 2. Image analysis: Apply image processing algorithms to conduct in-depth analysis of the collected spatial images, identifying key areas, obstacles, light intensity distribution and other elements in the space.

[0026] 3. Position determination: Based on the image analysis results and the estimated monitoring area requirements, the optimal camera placement is automatically calculated and determined. Factors such as light intensity, monitoring range, and blind spot minimization are considered to ensure the accuracy and rationality of the location selection.

[0027] 4. Assisted positioning: The system can provide a visual interface to display the recommended placement location and its estimated monitoring effect, assisting installers in accurate positioning.

[0028] More specifically, the above-mentioned determination of the recommended placement position of the camera in the current space based on the light intensity of the spatial image and the estimated monitoring area at each position can be specifically as follows: using a position determination unit included in the camera position determination module 110, using a device with a camera function, to capture a number of acquired images at a preset distance and a preset angle of the area where the camera is to be placed; analyzing the captured spatial image to identify the light intensity distribution of each position, and marking the preparatory positions where the light intensity is lower than a preset first intensity and the light intensity is higher than a preset second intensity; using monitoring design software, marking the monitoring range and blind spot size of each preparatory position; selecting from the preparatory positions a position whose monitoring range includes a preset key position and a position with the smallest blind spot as the recommended placement position of the camera in the current space.

[0029] The software configuration module 120 is used to obtain the model of the current camera, and then download the monitoring software corresponding to the current camera model through a preset software database.

[0030] It should be noted that the implementation steps of the software configuration module 120 may specifically be: 1. Model identification: The system automatically obtains the model information of the camera, which can be achieved by scanning the QR code on the camera, reading the device information file, etc.

[0031] 2. Software download and configuration: Based on the identified camera model, the system accesses the preset software database and downloads the corresponding monitoring software. The software installation and initial configuration are automatically completed to ensure that the software fully matches the camera model.

[0032] 3. Compatibility check: The system performs a compatibility check on the downloaded software to ensure that it can run stably under the current operating system and hardware environment.

[0033] In addition, in order to reduce the resource occupancy rate of the preset database, the present application can only store the download link, and when necessary, download the corresponding software based on the download link. In addition, it should be added that when the software version is updated, the operator can directly modify the software corresponding to the download link, avoiding the adjustment of the preset database.

[0034] The real-time adjustment module 130 is used to establish a communication connection with the monitoring software after determining that the camera placement is completed, return the adjusted resolution to the monitoring software based on the monitoring image currently uploaded by the monitoring software, and then adjust the camera resolution through the monitoring software.

[0035] It should be noted that the implementation steps of the real-time adjustment module 130 may specifically be: 1. Establishing communication connection: After the camera is placed, the system establishes communication with the monitoring software through a wireless network or wired connection.

[0036] 2. Acquisition of monitoring images: Real-time monitoring software uploads the camera image to obtain the current monitoring image.

[0037] 3. Image Analysis: Real-time analysis of surveillance images to evaluate key indicators such as picture clarity, smoothness, and color accuracy.

[0038] 4. Resolution adjustment: Based on the image analysis results, the system automatically calculates and returns the adjusted resolution parameters to the monitoring software. The monitoring software automatically adjusts the camera resolution based on the received parameters to ensure the best monitoring effect.

[0039] As an example, the real-time adjustment module 130 includes a real-time adjustment unit for identifying whether there are moving objects in the monitoring images uploaded by the monitoring software, and when there are moving objects, adjusting the resolution to a preset mobile monitoring resolution; identifying the light intensity of the monitoring images uploaded by the monitoring software, and when the light intensity is lower than a preset observation intensity, adjusting the resolution to a preset nighttime monitoring resolution; identifying the light intensity of the monitoring images uploaded by the monitoring software, and when the light intensity is higher than a preset observation intensity, adjusting the resolution to a preset daylight monitoring resolution.

[0040] 5. Continuous optimization: The system can set up a regular or real-time monitoring image quality inspection mechanism and continuously optimize the resolution adjustment strategy based on the inspection results.

[0041] Based on the above description, the embodiment provides a camera installation and debugging auxiliary system. Through the collaborative work of the above three modules, the system can reduce manual intervention and improve the efficiency and accuracy of installation and debugging. The system can automatically determine the optimal placement of the camera, automatically configure the monitoring software, and automatically adjust the camera resolution to ensure the clarity and accuracy of the monitoring screen. At the same time, the system is also highly compatible and scalable, and can support cameras of various brands and models to meet the monitoring needs in different scenarios.

[0042] In addition, the embodiment provides a camera installation and debugging auxiliary method, such as Figure 2 As shown, the method provided in the embodiment of the present application mainly includes the following steps: Step 210: Acquire a spatial image of the area where the camera is to be placed; determine the recommended placement position of the camera in the current space based on the light intensity of the spatial image and the estimated monitoring area at each position.

[0043] In some embodiments, specifically including: Use a device with a camera function to take a number of collected images at a preset distance and angle in the area where the camera is to be placed; Analyze the captured spatial image, identify the light intensity distribution at each position, and mark the preparation positions where the light intensity is lower than a preset first intensity and the light intensity is higher than a preset second intensity; Use monitoring design software to mark the monitoring range and blind area size of each preparation position; From the prepared positions, select a position whose monitoring range includes the preset key position and the position with the smallest blind spot as the recommended placement position for the camera in the current space.

[0044] Step 220: Obtain the model of the current camera, and then download the monitoring software corresponding to the current camera model through the preset software database.

[0045] Before obtaining the model of the current camera and then downloading the monitoring software corresponding to the current camera model through the preset software database, the method further includes: The camera model and the corresponding monitoring software installation package are obtained through the preset database acquisition interface, and the camera model and the download address of the corresponding monitoring software installation package are stored in the preset database.

[0046] Step 230: When it is determined that the camera placement is complete, a communication connection is established with the monitoring software, and the adjusted resolution is returned to the monitoring software based on the monitoring image currently uploaded by the monitoring software, and the camera resolution is then adjusted through the monitoring software.

[0047] In some embodiments, according to the monitoring image currently uploaded by the monitoring software, returning the adjusted resolution to the monitoring software specifically includes: Identify whether there are moving objects in the monitoring images uploaded by the monitoring software. When there are moving objects, adjust the resolution to the preset mobile monitoring resolution; identify the light intensity of the monitoring images uploaded by the monitoring software. When the light intensity is lower than the preset observation intensity, adjust the resolution to the preset nighttime monitoring resolution; identify the light intensity of the monitoring images uploaded by the monitoring software. When the light intensity is higher than the preset observation intensity, adjust the resolution to the preset daylight monitoring resolution.

[0048] The above is a method embodiment of the present application. Based on the same inventive concept, the present application embodiment also provides a camera installation and debugging auxiliary device. Figure 3As shown, the device includes: a processor; and a memory, on which executable codes are stored. When the executable codes are executed, the processor executes a camera installation and debugging auxiliary method as described in the above embodiment.

[0049] Specifically, the server collects a spatial image of the area where the camera is to be placed; determines the recommended placement position of the camera in the current space based on the light intensity of the spatial image and the estimated monitoring area at each position; obtains the model of the current camera, and then downloads the monitoring software corresponding to the current camera model through a preset software database; when it is determined that the camera has been placed, establishes a communication connection with the monitoring software, returns the adjusted resolution to the monitoring software based on the monitoring image uploaded by the current monitoring software, and then adjusts the resolution of the camera through the monitoring software.

[0050] In addition, an embodiment of the present application further provides a non-volatile computer storage medium on which executable instructions are stored. When the executable instructions are executed, a camera installation and debugging auxiliary method as described above is implemented.

[0051] So far, the technical solutions of the present disclosure have been described in combination with the above multiple embodiments, but it is easy for those skilled in the art to understand that the protection scope of the present disclosure is not limited to these specific embodiments. Without departing from the technical principles of the present disclosure, those skilled in the art can split and combine the technical solutions in the above-mentioned various embodiments, and can also make equivalent changes or replacements to the relevant technical features. Any changes, equivalent replacements, improvements, etc. made within the technical concept and / or technical principle of the present disclosure will fall within the protection scope of the present disclosure.

Claims

1. A camera installation and debugging auxiliary system, characterized in that: The system comprises: The camera position determination module is used to collect the spatial image of the area where the camera is to be placed; according to the light intensity of the spatial image and the estimated monitoring area at each position, determine the recommended placement position of the camera in the current space; The software configuration module is used to obtain the model of the current camera, and then download the monitoring software corresponding to the current camera model through the preset software database; The real-time adjustment module is used to establish a communication connection with the monitoring software after determining that the camera placement is completed, return the adjusted resolution to the monitoring software based on the monitoring image currently uploaded by the monitoring software, and then adjust the camera resolution through the monitoring software.

2. The camera installation and debugging auxiliary system according to claim 1, characterized in that: The camera position determination module includes a position determination unit, Used to use a device with a camera function to capture a number of collected images at a preset distance and angle in an area where a camera is to be placed; Analyze the captured spatial image, identify the light intensity distribution at each position, and mark the preparation positions where the light intensity is lower than a preset first intensity and the light intensity is higher than a preset second intensity; Use monitoring design software to mark the monitoring range and blind area size of each preparation position; From the prepared positions, select a position whose monitoring range includes the preset key position and the position with the smallest blind spot as the recommended placement position for the camera in the current space.

3. The camera installation and debugging auxiliary system according to claim 1, characterized in that: The software configuration module includes a database revision unit, Used to obtain the camera model and the corresponding monitoring software installation package through the preset database acquisition interface, and store the camera model and the corresponding monitoring software installation package download address in the preset database.

4. The camera installation and debugging auxiliary system according to claim 1, characterized in that: The real-time adjustment module includes a real-time adjustment unit, Used to identify whether there are moving objects in the monitoring images uploaded by the monitoring software. If there are moving objects, the resolution is adjusted to the preset mobile monitoring resolution; Identify the light intensity of the surveillance images uploaded by the surveillance software, and when the light intensity is lower than the preset observation intensity, adjust the resolution to the preset nighttime surveillance resolution; Identify the light intensity of the monitoring image uploaded by the monitoring software, and when the light intensity is higher than the preset observation intensity, adjust the resolution to the preset daylight monitoring resolution.

5. A camera installation and debugging auxiliary method, characterized in that: The method comprises: Collect spatial images of the area where the camera is to be placed; determine the recommended placement position of the camera in the current space based on the light intensity of the spatial image and the estimated monitoring area at each location; Obtain the model of the current camera, and then download the monitoring software corresponding to the current camera model through the preset software database; When it is determined that the camera has been placed, a communication connection is established with the monitoring software, and the adjusted resolution is returned to the monitoring software based on the monitoring image currently uploaded by the monitoring software, and the camera resolution is then adjusted through the monitoring software.

6. The camera installation and debugging auxiliary method according to claim 5, characterized in that: Collecting a spatial image of the area where the camera is to be placed; Based on the light intensity of the spatial image and the estimated monitoring area at each location, determine the recommended placement of the camera in the current space, including: Use a device with a camera function to take a number of collected images at a preset distance and angle in the area where the camera is to be placed; Analyze the captured spatial image, identify the light intensity distribution at each position, and mark the preparation positions where the light intensity is lower than a preset first intensity and the light intensity is higher than a preset second intensity; Use monitoring design software to mark the monitoring range and blind area size of each preparation position; From the prepared positions, select a position whose monitoring range includes the preset key position and the position with the smallest blind spot as the recommended placement position for the camera in the current space.

7. The camera installation and debugging auxiliary method according to claim 5, characterized in that: Before obtaining the model of the current camera and then downloading the monitoring software corresponding to the current camera model through a preset software database, the method further includes: The camera model and the corresponding monitoring software installation package are obtained through the preset database acquisition interface, and the camera model and the download address of the corresponding monitoring software installation package are stored in the preset database.

8. The camera installation and debugging auxiliary method according to claim 5, characterized in that: According to the monitoring image uploaded by the current monitoring software, the adjusted resolution is returned to the monitoring software, including: Identify whether there are moving objects in the surveillance images uploaded by the surveillance software. If there are moving objects, adjust the resolution to the preset motion surveillance resolution; Identify the light intensity of the surveillance images uploaded by the surveillance software, and when the light intensity is lower than the preset observation intensity, adjust the resolution to the preset nighttime surveillance resolution; Identify the light intensity of the monitoring image uploaded by the monitoring software, and when the light intensity is higher than the preset observation intensity, adjust the resolution to the preset daylight monitoring resolution.

9. A camera installation and debugging auxiliary device, characterized in that: The device comprises: processor; and a memory having executable codes stored thereon, which, when the executable codes are executed, enable the processor to execute a camera installation and debugging auxiliary method as described in any one of claims 5-8.

10. A non-volatile computer storage medium, characterized in that: Computer instructions are stored thereon, and when the computer instructions are executed, a camera installation and debugging auxiliary method as described in any one of claims 5-8 is implemented.

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