Plant root phenotype automatic photographing and dynamic monitoring system

Abstract

The invention discloses a plant root system phenotype automatic photographing and dynamic monitoring system, comprising: a dynamic monitoring device, the dynamic monitoring device comprising an acrylic root box and a photographing device; the acrylic root box is used for providing an environment for plant root growth and ensuring that the complete structure of the whole root is clearly observed, the system can restore the growth environment of the plant, so that the plant can absorb nutrition and moisture in soil, interference of soil as a complex background during photographing can be avoided, and the system is suitable for popularization and application. A user only needs to connect and set a camera and a light source on a program, any processing work is not needed, a series of picture sets of the root system of the plant can be obtained only by watering and supplementing light to the plant regularly and waiting for the plant to grow for a period of time, pictures can be obtained locally, and all pictures can be obtained by remotely accessing a picture memory, so that the user experience is improved. The system is suitable for researching and observing complete root systems and root system growth trends of various plants.

Description

Technical Field

[0001] The invention relates to the technical field of plant root phenotype monitoring, in particular to a plant root phenotype automatic photography and dynamic monitoring system. Background Art

[0002] Plant roots play a key role in the ecosystem, such as maintaining soil structure, reducing soil erosion, and promoting the circulation of water and nutrients. The root system also has a direct impact on crop growth and yield. Root characteristics are an important indicator in plant breeding. By selecting varieties with better root characteristics, the overall performance and sustainability of crops can be improved. Therefore, studying the root system can help agricultural scientists cultivate more efficient crop varieties and improve the resistance of crops to adversities (such as drought, salinity, diseases and insect pests). At the same time, studying the root system helps to understand how different plant species interact with each other and how they adapt to different environmental conditions.

[0003] As for the existing methods for studying plant root systems, traditional field research methods such as digging and core drilling are quite destructive to plant roots and can only study the state of the same root system at a certain moment; hydroponics, gel culture, spraying, paper bag methods, etc. only use water or nutrient solution to cultivate plants and do not conform to the original growth environment of plants; micro-root tube technology has expensive equipment, is not very friendly to general laboratories, and cannot capture complete plant root systems; and traditional root box technology is not conducive to root observation due to soil covering.

[0004] With the development of science and technology, there are various ways to observe plant roots. Traditional manual measurement is laborious and time-consuming. Now with CCD camera photography, X-ray or PET / CT scanning, magnetic resonance imaging and other methods, the observation and research of plant roots has become much more convenient. However, scanners and magnetic resonance imaging are expensive, and general laboratories do not have sufficient funds to use these methods for research.

[0005] In summary, it is necessary to propose an automatic photography and dynamic monitoring system for plant root phenotypes to solve the above problems. Summary of the invention

[0006] The purpose of the present invention is to provide a plant root phenotype automatic photography and dynamic monitoring system to solve the problems raised in the above background technology.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] Plant root phenotype automatic photography and dynamic monitoring system, including:

[0009] A dynamic monitoring device, comprising an acrylic root box and a camera;

[0010] The acrylic root box is used to provide an environment for the growth of plant roots, ensuring that the complete structure of the entire root can be clearly observed. The acrylic root box is made of a transparent acrylic plate. A small hole is opened at the bottom of the acrylic root box, and the acrylic root box is water-permeable through the small hole. The bottom of the acrylic root box is slidably connected to a water receiving box. A black cloth is provided on the side of the acrylic root box, and the black cloth is interposed between the plant root system and the soil to form an acrylic black box. A gap is provided between the acrylic root box and the water receiving box in the acrylic root box.

[0011] The photographing device is used to provide hardware support for photographing. The photographing device also includes an acrylic black box, an industrial camera, an industrial light source and a light source controller. The acrylic black box is used to place the acrylic root box, the industrial light source, the light source controller, the camera and its fixing bracket. A strip-shaped industrial power supply is installed on the top of the dynamic monitoring device. A camera fixing bracket is also provided on the other side of the acrylic root box. An industrial camera is installed on the camera fixing bracket. The industrial camera is used to collect images of the acrylic root box. A light source controller is also provided on one side of the camera fixing bracket. The light source controller is electrically connected to the strip-shaped industrial power supply and connected to the computer host end through a serial port to USB cable;

[0012] It also includes an automatic photo taking system developed based on QTcreator and supporting the Windows operating system;

[0013] The automatic photography system includes an automatic timed photography module, a picture saving and uploading module, and a lighting control module. The automatic timed photography module is used to connect to a camera, set a timer, and control photography. The picture saving and uploading module is used to save pictures locally, upload pictures to a picture storage server, and provide a network connection. The lighting control module is used for lighting connection, lighting timing control, and lighting brightness adjustment.

[0014] Preferably, the automatic timed photographing module further comprises a camera connection unit, a timer unit and a photographing control unit;

[0015] The camera connection unit uses a serial port to USB cable to connect the camera to the computer, selects the camera device through the list, calls the interface of the Dahua camera and the IMVApi.h header file to realize the camera connection, and is used to select and connect the camera device;

[0016] The timer unit uses the QTimer control to control the time interval of taking photos, and can also modify the timing time;

[0017] The photographing control unit realizes the automatic photographing function by calling the interface of the Dahua camera, and the photographed images are transmitted to the saving and uploading module through the program.

[0018] Preferably, the module for saving and uploading pictures further comprises a local saving unit, a picture uploading unit and a network connection unit;

[0019] The local storage unit is used to save the captured pictures to a local specified directory;

[0020] The picture uploading unit uses QNetworkAccessManager to call the API of the picture storage server and uploads the picture through a POST request;

[0021] The network connection unit is used to ensure that the network connection between the system and the image storage server is normal.

[0022] Preferably, the lighting control module further comprises a lighting connection unit, a lighting timing control unit and a lighting adjustment unit;

[0023] The light connection unit connects and controls the light by selecting the correct serial port and using QSer ia l;

[0024] The lighting timing control unit uses QTimer and delay function to control the switch of the lighting;

[0025] The light adjustment unit sets the light brightness through a friendly interactive interface, or slowly adjusts the brightness through a modulator.

[0026] Based on the above system, the present invention also proposes a method for automatic photography and dynamic monitoring of plant root phenotypes, comprising the following steps:

[0027] S1. Prepare the hardware environment of computer host, serial port to USB cable, industrial camera supporting Dahua camera interface, industrial power supply supporting serial port control, transparent acrylic board and black cloth, as well as the system environment supporting QT development programming environment, Dahua camera interface library, network access library and serial port control library;

[0028] S2. Connect the camera to the computer via a serial-to-USB cable, connect the lighting equipment to the computer's serial port, install and configure the programming environment including QT, I MVAp ih, QNetworkAccessManager, QSer ial and necessary library files, and configure the API interface of the image storage server;

[0029] S3. Camera connection and settings: start the program, open the camera connection interface, select the camera device in the device list, and click the openDevice button to connect the camera;

[0030] S4. Light connection and settings, select the correct serial port, click the connectSerial button to connect the lighting device, set the brightness of the light through the interface to ensure that the light is appropriate when taking pictures;

[0031] S5. Timer photo setting, open the timer setting interface, set the time interval for timed photo taking to take a picture every 10 minutes, click the startGrab button to start the timed photo taking function;

[0032] S6. Lighting control: before the timed photo shooting starts, execute the lighting control program;

[0033] -Use QTimer to set the light to turn on 5 seconds before and after taking a photo;

[0034] - Lights are turned off at other times;

[0035] Finally, synchronize the light control program with the photo taking program to ensure that the light is on before and after taking photos, and off at other times;

[0036] S7. Save and upload the picture;

[0037] S8. Carry out system monitoring and maintenance.

[0038] Preferably, the specific steps of step S7 are:

[0039] S7.1. Configure the image saving path to include "D: / root Images";

[0040] S7.2. After taking each photo, the photo will be automatically saved to a specified local directory;

[0041] S7.3. Use QNetworkAccessManager to call the API interface of the image storage server and upload the image through a POST request;

[0042] - Ensure that the image file path and server upload interface are correct;

[0043] -Write a callback function for upload success or failure to process the upload result.

[0044] Preferably, the specific steps of S8 are:

[0045] S8.1. Regularly check the connection status of the camera and lighting equipment to ensure that the hardware is working properly;

[0046] S8.2. Check local storage space and regularly back up or clean up saved images;

[0047] S8.3. Monitor the upload log to ensure that all images are successfully uploaded to the server and handle any failures in a timely manner.

[0048] Compared with the prior art, the beneficial effect of the present invention is that the system can not only restore the growth environment of the plant so that it can absorb nutrients and water in the soil, but also avoid the interference of the soil as a complex background when taking pictures. With the black cloth as the background, the growth process of the complete plant root system can be observed more clearly, and all pictures of the complete root system of a plant from scratch to subsequent growth can be taken. After setting a picture to be taken every few hours, a high-definition atlas of the entire growth process of the root system related to time can be obtained, which plays a significant role in the subsequent research on the root system. Only one user needs to connect and set the camera and light source in the program, and no further processing is required. Only regular watering and light supplementation are required, and waiting for it to grow for a period of time can be obtained. A series of atlases of the plant root system can be obtained. Pictures can be obtained locally, or all pictures can be obtained by remotely accessing the image storage. Therefore, the system is suitable for studying and observing the complete root system and root growth trends of various plants. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a structural schematic diagram of the dynamic monitoring device of the present invention;

[0050] Figure 2 This is an interface diagram of the automatic photographing system of the present invention;

[0051] Figure 3 This is a flow chart of the method for automatic photography and dynamic monitoring of plant root phenotypes of the present invention;

[0052] Figure 4 This is a photo effect diagram of the plant root phenotype of the present invention. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] Example 1

[0055] See also Figure 1 The present invention provides a plant root phenotype automatic photography and dynamic monitoring system, comprising:

[0056] A dynamic monitoring device, the dynamic monitoring device includes an acrylic root box and a camera device;

[0057] The acrylic root box is used to provide an environment for the growth of plant roots, ensuring that the complete structure of the entire root can be clearly observed. The acrylic root box is made of a transparent acrylic plate. A small hole is opened at the bottom of the acrylic root box, and the acrylic root box is water-permeable through the small hole. The bottom of the acrylic root box is slidably connected to a water receiving box. A black cloth is provided on the side of the acrylic root box, and the black cloth is interposed between the plant root system and the soil to form an acrylic black box. A gap is provided between the acrylic root box and the water receiving box in the acrylic root box.

[0058] The photographing device is used to provide hardware support for photographing. The photographing device also includes an acrylic black box, an industrial camera, an industrial light source and a light source controller. The acrylic black box is used to place the acrylic root box, the industrial light source, the light source controller, the camera and its fixing bracket. A strip-shaped industrial power supply is installed on the top of the dynamic monitoring device. A camera fixing bracket is also provided on the other side of the acrylic root box. An industrial camera is installed on the camera fixing bracket. The industrial camera is used to collect images of the acrylic root box. A light source controller is also provided on one side of the camera fixing bracket. The light source controller is electrically connected to the strip-shaped industrial power supply and connected to the computer host end through a serial port to USB cable;

[0059] See also Figure 2 ,This system also includes an automatic photo taking system developed based on QTcreator and supporting the Windows operating system;

[0060] The automatic photography system consists of an automatic timed photography module, a picture saving and uploading module, and a lighting control module. The automatic timed photography module is used to connect the camera, set the timer, and control photography. The picture saving and uploading module is used to save pictures locally, upload pictures to the picture storage server, and provide network connection. The lighting control module is used for lighting connection, lighting timing control, and lighting brightness adjustment.

[0061] In this embodiment, it should also be noted that the automatic timing photo taking module also includes a camera connection unit, a timer unit and a photo taking control unit;

[0062] The camera connection unit uses a serial-to-USB cable to connect the camera to the computer, selects the camera device through the list, calls the Dahua camera interface and the I MVApi.h header file to achieve camera connection, which is used to select and connect the camera device;

[0063] The timer unit uses the QTimer control to control the photo-taking interval and can also modify the timing time;

[0064] The photo control unit realizes the automatic photo taking function by calling the interface of Dahua camera, and the taken images are transmitted to the saving and uploading module through the program.

[0065] In this embodiment, it should also be noted that the module for saving and uploading pictures also includes a local storage unit, a picture uploading unit and a network connection unit;

[0066] The local storage unit is used to save the captured pictures to a local specified directory;

[0067] The image upload unit uses QNetworkAccessManager to call the API of the image storage server and upload the image through a POST request;

[0068] The network connection unit is used to ensure that the network connection between the system and the image storage server is normal.

[0069] In this embodiment, it should also be noted that the lighting control module also includes a lighting connection unit, a lighting timing control unit and a lighting adjustment unit;

[0070] The light connection unit connects and controls the light by selecting the correct serial port and using QSer ia l;

[0071] The lighting timing control unit uses QTimer and delay function to control the switch of the light;

[0072] The light adjustment unit sets the light brightness through a friendly interactive interface, or slowly adjusts the brightness through a modulator.

[0073] Example 2

[0074] See also Figure 3 Based on the above system, the present invention also proposes a method for automatic photography and dynamic monitoring of plant root phenotypes, comprising the following steps:

[0075] S1. Prepare the hardware environment of computer host, serial port to USB cable, industrial camera supporting Dahua camera interface, industrial power supply supporting serial port control, transparent acrylic board and black cloth, as well as the system environment supporting QT development programming environment, Dahua camera interface library, network access library and serial port control library;

[0076] S2. Connect the camera to the computer via a serial-to-USB cable, connect the lighting equipment to the computer's serial port, install and configure the programming environment including QT, IMVApi.h, QNetworkAccessManager, QSer ia l and necessary library files, and configure the API interface of the image storage server;

[0077] S3. Camera connection and settings: start the program, open the camera connection interface, select the camera device in the device list, and click the openDevice button to connect the camera;

[0078] S4. Light connection and settings, select the correct serial port, click the connectSerial button to connect the lighting device, set the brightness of the light through the interface to ensure that the light is appropriate when taking pictures;

[0079] S5. Timer photo setting, open the timer setting interface, set the time interval for timed photo taking to take a picture every 10 minutes, click the startGrab button to start the timed photo taking function;

[0080] S6. Lighting control: before the timed photo shooting starts, execute the lighting control program;

[0081] -Use QTimer to set the light to turn on 5 seconds before and after taking a photo;

[0082] - Lights are turned off at other times;

[0083] Finally, synchronize the light control program with the photo taking program to ensure that the light is on before and after taking photos, and off at other times;

[0084] S7. Save and upload the picture;

[0085] S8. Carry out system monitoring and maintenance.

[0086] In this embodiment, it should be noted that the specific steps of step S7 are:

[0087] S7.1. Configure the image saving path to include "D: / root Images";

[0088] S7.2. After taking each photo, the photo will be automatically saved to a specified local directory;

[0089] S7.3. Use QNetworkAccessManager to call the API interface of the image storage server and upload the image through a POST request;

[0090] - Ensure that the image file path and server upload interface are correct;

[0091] -Write a callback function for upload success or failure to process the upload result.

[0092] In this embodiment, it should be noted that the specific steps of S8 are:

[0093] S8.1. Regularly check the connection status of the camera and lighting equipment to ensure that the hardware is working properly;

[0094] S8.2. Check local storage space and regularly back up or clean up saved images;

[0095] S8.3. Monitor the upload log to ensure that all images are successfully uploaded to the server and handle any failures in a timely manner.

[0096] Example 3

[0097] See also Figure 4 In actual application, the specific operation process of the plant root phenotype automatic photography and dynamic monitoring system is as follows:

[0098] The system mainly includes three functions. The first is to control the camera to automatically take pictures at the set time. The second is to save the pictures taken locally and upload them to the server. The third is to control the brightness of the light and ensure that the light is on within 10 seconds before and after the camera takes the picture, and off at other times, so as to minimize the interference with the root growth.

[0099] To realize automatic timing photography:

[0100] The camera of this system is connected to the host computer using a serial to USB cable. After opening the program, first select the camera device in the list and click openDevi ce to connect the camera. Before clicking startGrab, you should first connect and set the lights, and then set the timing time. After clicking startGrab, the system will automatically start taking pictures and uploading pictures.

[0101] The connection and control of the camera is implemented by calling some interfaces of Dahua camera and using I MVApi.h header file, while the timing function is controlled by QTImer;

[0102] Automatically taking photos at a fixed time greatly reduces manpower and labor. It is no longer necessary to clean each root and then put it under the camera to take pictures one by one like the traditional method. Through these intelligent functions, the time spent by scientific researchers on processing materials and taking pictures can be greatly reduced, and more time can be spent on other research work.

[0103] This function is also conducive to dynamically monitoring the growth of the root system and can provide high-quality root system images for subsequent root system research;

[0104] To save and upload pictures:

[0105] After clicking startGrab, the system will automatically start taking pictures. Each picture taken will be automatically saved to the local "D: / root Images" of the computer, and the picture will be uploaded to the image storage server. Image storage is a website that can store and visualize pictures.

[0106] QNetworkAccessManager calls the website's interface to make a post request to upload the picture;

[0107] This function is mainly used to facilitate the acquisition of all root system images through image storage after the system is remotely deployed;

[0108] Realize lighting control:

[0109] The lights should be connected and set up before clicking startGrab;

[0110] After selecting the correct serial port, click Connect Serial Port. You can set the light brightness through the interface, or increase or decrease the brightness through the light source modulator. However, the modulator is slower to adjust, so the interface setting is faster and more convenient.

[0111] The control of the serial port is implemented by QSerial. Different controls of the light, such as turning on, off, and adjusting the brightness, are sent to the serial port through different specific commands.

[0112] The timing switch of the light during photography is mainly used to minimize the interference with the root growth. Since the roots of the plants in the designed root box are between the transparent acrylic plate and the black cloth, but the roots of the plants must grow in a completely dark environment, the lights cannot be on all the time. They only need to be on for a few seconds when taking pictures. Therefore, QT Imer and delay are also used to time the lights. The lights are controlled to be on for the first five seconds and the last five seconds of taking pictures, and not on at other times.

[0113] In summary, this system can not only restore the growth environment of the plant, so that it can absorb nutrients and water from the soil, but also avoid the interference of the soil as a complex background when taking pictures. With the black cloth as the background, the growth process of the complete plant root system can be observed more clearly;

[0114] This system can take pictures of a plant's complete root system from scratch to subsequent growth. By setting it to take a picture every few hours, you can get a high-definition atlas of the entire growth process of the root system in time, which is of great significance for subsequent root system research.

[0115] Once a user has connected and set up the camera and light source on the program, there is no need to do any further processing. All the user needs to do is water the plant regularly, provide additional light, and wait for it to grow for a while, and then a series of atlases of the plant's root system can be obtained. The images can be obtained locally or accessed remotely to obtain all the images.

[0116] Therefore, this system is suitable for studying and observing the complete root system and root growth trends of various plants.

[0117] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. Plant root phenotype automatic photography and dynamic monitoring system, characterized in that: include: A dynamic monitoring device, the dynamic monitoring device comprising an acrylic root box and a camera 444 device; The acrylic root box is used to provide an environment for the growth of plant roots, ensuring that the complete structure of the entire root can be clearly observed. The acrylic root box is made of a transparent acrylic plate. A small hole is opened at the bottom of the acrylic root box, and the acrylic root box is water-permeable through the small hole. The bottom of the acrylic root box is slidably connected to a water receiving box. A black cloth is provided on the side of the acrylic root box, and the black cloth is interposed between the plant root system and the soil to form an acrylic black box. A gap is provided between the acrylic root box and the water receiving box in the acrylic root box. The photographing device is used to provide hardware support for photographing. The photographing device also includes an acrylic black box, an industrial camera, an industrial light source and a light source controller. The acrylic black box is used to place the acrylic root box, the industrial light source, the light source controller, the camera and its fixing bracket. A strip-shaped industrial power supply is installed on the top of the dynamic monitoring device. A camera fixing bracket is also provided on the other side of the acrylic root box. An industrial camera is installed on the camera fixing bracket. The industrial camera is used to collect images of the acrylic root box. A light source controller is also provided on one side of the camera fixing bracket. The light source controller is electrically connected to the strip-shaped industrial power supply and connected to the computer host end through a serial port to USB cable; It is characterized by also including an automatic photo taking system developed based on QTcreator and supporting Windows operating system; The automatic photography system includes an automatic timed photography module, a picture saving and uploading module, and a lighting control module. The automatic timed photography module is used to connect to a camera, set a timer, and control photography. The picture saving and uploading module is used to save pictures locally, upload pictures to a picture storage server, and provide a network connection. The lighting control module is used for lighting connection, lighting timing control, and lighting brightness adjustment.

2. The plant root phenotype automatic photography and dynamic monitoring system according to claim 1, characterized in that: The automatic timing photo taking module also includes a camera connection unit, a timer unit and a photo taking control unit; The camera connection unit uses a serial port to USB cable to connect the camera to the computer, selects the camera device through the list, calls the interface of the Dahua camera and the IMVApi.h header file to realize the camera connection, and is used to select and connect the camera device; The timer unit uses the QTimer control to control the time interval of taking photos, and can also modify the timing time; The photographing control unit realizes the automatic photographing function by calling the interface of the Dahua camera, and the photographed images are transmitted to the saving and uploading module through the program.

3. The plant root phenotype automatic photography and dynamic monitoring system according to claim 2, characterized in that: The picture saving and uploading module also includes a local saving unit, a picture uploading unit and a network connection unit; The local storage unit is used to save the captured pictures to a local specified directory; The picture uploading unit uses QNetworkAccessManager to call the API of the picture storage server and uploads the picture through a POST request; The network connection unit is used to ensure that the network connection between the system and the image storage server is normal.

4. The plant root phenotype automatic photography and dynamic monitoring system according to claim 3, characterized in that: The lighting control module also includes a lighting connection unit, a lighting timing control unit and a lighting adjustment unit; The light connection unit connects and controls the light by selecting the correct serial port and using QSerial; The lighting timing control unit uses QTimer and delay function to control the switch of the lighting; The light adjustment unit sets the light brightness through a friendly interactive interface, or slowly adjusts the brightness through a modulator.

5. A method for automatically photographing and dynamically monitoring plant root phenotypes, according to any one of claims 1 to 4, wherein the system for automatically photographing and dynamically monitoring plant root phenotypes is characterized in that: The following steps are involved: S1. Prepare the hardware environment of computer host, serial port to USB cable, industrial camera supporting Dahua camera interface, industrial power supply supporting serial port control, transparent acrylic board and black cloth, as well as the system environment supporting QT development programming environment, Dahua camera interface library, network access library and serial port control library; S2. Connect the camera to the computer via a serial-to-USB cable, connect the lighting equipment to the computer's serial port, install and configure the programming environment including QT, IMVApi.h, QNetworkAccessManager, QSerial and necessary library files, and configure the API interface of the image storage server; S3. Camera connection and settings: Start the program, open the camera connection interface, select the camera device in the device list, and click the openDevice button to connect the camera; S4. Light connection and settings, select the correct serial port, click the connectSerial button to connect the lighting device, set the brightness of the light through the interface to ensure that the light is appropriate when taking pictures; S5. Timer photo setting, open the timer setting interface, set the time interval for timed photo taking to take a picture every 10 minutes, click the startGrab button to start the timed photo taking function; S6. Lighting control: before the timed photo shooting starts, execute the lighting control program; -Use QTimer to set the light to turn on 5 seconds before and after taking a photo; - Lights are turned off at other times; Finally, synchronize the light control program with the photo taking program to ensure that the light is on before and after taking photos, and off at other times; S7. Save and upload the picture; S8. Carry out system monitoring and maintenance.

6. The method for automatic photography and dynamic monitoring of plant root phenotypes according to claim 5, characterized in that: The specific steps of step S7 are: S7.

1. Configure the image saving path (including "D: / rootImages"); S7.

2. After taking each photo, the photo will be automatically saved to a specified local directory; S7.

3. Use QNetworkAccessManager to call the API interface of the image storage server and upload the image through a POST request; - Ensure that the image file path and server upload interface are correct; -Write a callback function for upload success or failure to process the upload result.

7. The method for automatic photography and dynamic monitoring of plant root phenotypes according to claim 5, characterized in that: The specific steps of S8 are: S8.

1. Regularly check the connection status of the camera and lighting equipment to ensure that the hardware is working properly; S8.

2. Check local storage space and regularly back up or clean up saved images; S8.

3. Monitor the upload log to ensure that all images are successfully uploaded to the server and handle any failures in a timely manner.

Images