Data acquisition system based on X-Collecto camera

Abstract

The invention discloses a data acquisition system based on an X-Collecto (X-Collecto) camera. In the invention, the image correction module can reduce the speckle noise of the SAR image by adopting a radiation correction technology, which is beneficial to improving the image quality, especially in the aspect of reservation of detail and texture features. The correction is crucial for improving the definition and readability of the image, especially in applications where accurate information needs to be extracted from the image. The noise elimination module can effectively remove noise in the image and improve the definition and quality of the image by establishing a priori knowledge model of image degradation and adopting a filtering means for processing. The method is crucial to subsequent image analysis and processing because noise interferes with feature extraction and recognition of the image. And the contrast enhancement module can improve the visual effect of the image by using a histogram equalization method, so that the image is more easily observed by human eyes or analyzed by a machine, and the satisfaction degree of a user to the system is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of data acquisition, and in particular relates to a data acquisition system based on an X-Collecto camera. Background Art

[0002] The camera data acquisition system is a system used to capture, process and transmit image data. It consists of two parts: hardware and software. The hardware mainly includes cameras, data transmission devices, storage devices, etc., while the software is responsible for controlling hardware operations, processing image data, managing data transmission, etc. First of all, the camera is the core component of the system, which is responsible for capturing real-time images. According to application requirements, different types of cameras can be selected, such as ordinary webcams, high-definition cameras or infrared cameras. The image data captured by the camera is usually represented in digital form, including parameters such as resolution, brightness, contrast, etc. Next, the data transmission device is responsible for transmitting the image data captured by the camera to the processing system. The transmission method can be wired transmission, such as USB, Ethernet, etc., or wireless transmission, such as Wi-Fi, Bluetooth, etc. When choosing a transmission method, the speed and stability of data transmission need to be considered to ensure the real-time and integrity of the image data. The camera data acquisition system is a versatile and efficient image data capture and processing system, which has a wide range of applications in various fields, such as video surveillance, traffic monitoring, industrial automation, etc. With the development of image processing technology and artificial intelligence, the functions and performance of the camera data acquisition system will continue to improve, bringing more convenience to people's lives and work.

[0003] However, during the use of common camera acquisition systems, the acquired images are not processed, so that the image quality obtained in the subsequent use is not high enough, which affects the image quality acquired by the overall system. Summary of the invention

[0004] The purpose of the present invention is to provide a data acquisition system based on an X-Collecto camera in order to solve the above-mentioned problem.

[0005] The technical solution adopted by the present invention is as follows: a data acquisition system based on an X-Collecto camera, comprising a power supply module, a device control system layer module, a data acquisition end module, a communication transmission module, an image processing module, a processor module, a supOS application module, a low power management module, an image correction module, a noise elimination module and a contrast enhancement module, wherein the output end of the power supply module is connected to the input end of the device control system layer module, the output end of the device control system layer module is connected to the input end of the data acquisition end module, the output end of the data acquisition end module is connected to the input end of the communication transmission module, the output end of the communication transmission module is connected to the input end of the image processing module, the output end of the image processing module is connected to the input end of the processor module, and the output end of the processor module is connected to the input end of the supOS application module.

[0006] In a preferred embodiment, the image processing module is internally provided with an image correction module, a noise elimination module and a contrast enhancement module, and the overall output end of the image correction module, the noise elimination module and the contrast enhancement module is connected to the input end of the image processing module;

[0007] The external power supply connection terminal of the device control system layer module is provided with a low power consumption management module.

[0008] In a preferred embodiment, the equipment control system layer module includes PLC and intelligent instruments, with brands including Siemens and Mitsubishi, interfaces including RS485, Ethernet, and I / O, and protocols including PLC protocols of various brands and Modbus protocol.

[0009] In a preferred embodiment, the data acquisition end module uses an OV2640 image sensor, which can reach a power of 0.6 mA when in standby mode, and can achieve image acquisition with the fastest resolution of 15f / sUXGA (1600×1200) or 60f / sCIF (352×288), with the advantages of high sensitivity, low crosstalk, low noise, high image clarity, strong video capture function, etc., and has multiple output formats, such as RGB565, RGB555, YUV (422 / 420), YCbCr422 and JPEG. In view of the limitation of Ethernet single-frame data size, the built-in JPEG compression algorithm of the OV2640 sensor is conducive to reducing the power consumption of Ethernet data transmission in this system.

[0010] In a preferred embodiment, the communication transmission module adopts an Ethernet protocol stack, and the specific transplantation process is as follows: ① Add the CH569Net_lib.a file, which provides a TCP / IP subroutine library and integrates a UDP Ethernet protocol stack, greatly reducing the development difficulty; ② Add the ethernet_config.h file, which contains the CH565 Gigabit Ethernet descriptor and the definitions of various registers; ③ Add the CH565 Gigabit Ethernet link layer transceiver interface functions and interface definitions, including the enablement and initialization of the RGMII interface, PHY chip initialization, MAC initialization, etc., as well as the send buffer, receive buffer IP address, port, etc.; ④, declare and specify the protocol IP stack and local parameters: local MAC address, port.

[0011] In a preferred embodiment, the image correction module uses radiation correction technology. After filtering using a multi-level nonlinear weighted average median filtering algorithm, it can be seen that the speckle noise of the SAR image is significantly reduced, and the texture features and detail information of the image are better preserved.

[0012] In a preferred embodiment, the noise elimination module includes:

[0013] A degradation model is established based on the prior knowledge of image degradation. Based on this model, filtering is used to process the image so that the restored image meets the criteria and the quality of the sample image is improved.

[0014] The computer reads the DN value and integrating sphere radiation brightness value of the pixel according to the band of the integrating sphere calibration data. The DN value of each pixel of the integrating sphere calibration data is recorded as DN0(i,j), and the integrating sphere radiation brightness value is recorded as L0(j), where i is the pixel number, j is the band number, DN0 represents the digital output value of the detector pixel, and L0 is the integrating sphere radiance value. Since the infrared imaging system is linear, the laboratory linear absolute radiation calibration formula is used to calculate the digital output value of the detector pixel:

[0015] DN0(i,j)=k0(i,j)*L0(j),

[0016] Where k0(i,j) is the radiation correction coefficient for the jth band and the ith pixel;

[0017] (2) The original image data and radiation correction coefficient data are read by a computer to obtain the pixel DN value DN1(i, j) of each band of the original image data. DN1(i, j) is substituted into the radiation correction formula to obtain the radiation brightness value of each pixel of the original image after radiation correction, which is recorded as L1(i, j). The radiation correction formula is:

[0018]

[0019] 8. A data acquisition system based on an X-Collecto camera as claimed in claim 1, characterized in that: the contrast enhancement module improves the visual effect of the image, making it easier for human eyes to observe or machine analysis; the contrast enhancement module uses histogram equalization as an enhancement method, and the pixel value s is obtained by cumulative distribution function (CDF) mapping, and the formula is:

[0020] Where r is the original pixel value, ni is the number of pixels with pixel value i, and n is the total number of pixels.

[0021] In a preferred embodiment, the processor module uses a CH565W module, which has a built-in 10 / 100 / 1000Mb / s MAC and an RGMII interface. Considering the real-time performance of the system, the RTL8211 produced by Realtek is used as the PHY chip external to the MCU. The chip supports 10M / 100M / 1000M Ethernet communication, and supports the REGMII interface and GMII interface of 3.3V or 2.5V voltage standards. The monitoring terminal uploads the collected image data to the host computer through the RTL8211 chip using the UDP protocol;

[0022] The supOS application module uses the supIDE of the supOS industrial operating system to develop corresponding functions, collect and analyze massive production big data, and display statistical data in various report applications according to user needs. Users access the report application on the supOS industrial operating system, call the structured data in the system, view the required data analysis content, and make strategic decisions on the production and operation of the enterprise.

[0023] In a preferred embodiment, when the system receives a low-power wake-up signal from Ethernet during use, the low-power management module will exit the low-power mode and immediately start executing image acquisition and transmission tasks until it receives an instruction to enter the low-power mode or detects that the host computer cannot receive data, then it will re-enter the low-power mode and wait for wake-up.

[0024] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0025] 1. In the present invention, the image correction module can reduce the speckle noise of the SAR image by adopting the radiation correction technology, which helps to improve the image quality, especially in terms of retaining details and texture features. This correction is essential to improve the clarity and readability of the image, especially in applications where accurate information needs to be extracted from the image.

[0026] The noise removal module can effectively remove noise from the image and improve the image clarity and quality by establishing a priori knowledge model of image degradation and using filtering methods for processing. This is crucial for subsequent image analysis and processing, as noise can interfere with image feature extraction and recognition.

[0027] The contrast enhancement module uses a histogram equalization method to improve the visual effect of the image, making the image easier for human eyes to observe or machine analysis. By adjusting the contrast of the image, the details and features of the image can be enhanced, which is particularly important in image recognition and monitoring applications. The setting of the entire image processing module ensures that the raw image data collected from the camera undergoes a series of optimization processes and is converted into high-quality, clear images suitable for a variety of application scenarios. These preprocessing steps are essential to improving the overall performance and reliability of the system, especially in applications that require precise image analysis and recognition. Through the processing of these modules, the system is able to provide more accurate and reliable image data, thereby improving user satisfaction with the system.

[0028] 2. In the present invention, the low power management module can significantly reduce the overall power consumption of the system in the entire X-Collecto camera-based data acquisition system by putting the system into low power mode when real-time transmission of image data is not required. This is very important for extending the service life of the equipment, reducing energy consumption, and reducing operating costs. Reducing unnecessary power consumption not only saves energy, but also reduces equipment heat generation, thereby extending the service life of the equipment. This is especially important for monitoring systems that require long-term stable operation. The low power mode helps to maintain the stability of the system, especially in environments with high temperatures or poor heat dissipation conditions. By reducing power consumption, the operating risk of the system in a high temperature environment is reduced, and failures caused by overheating are reduced. In low power mode, the system reduces or does not perform data transmission, which helps to optimize the use of network bandwidth, reduce the pressure of data transmission, and improve the efficiency of data processing and storage. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 is the overall system block diagram of the present invention;

[0030] Figure 2 This is a system block diagram of the image processing module in the present invention.

[0031] Markings in the figure: 1-power supply module, 2-equipment control system layer module, 3-data acquisition terminal module, 4-communication transmission module, 5-image processing module, 6-processor module, 7-supOS application module, 8-low power management module, 9-image correction module, 10-noise elimination module, 11-contrast enhancement module. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0033] Reference Figure 1-2 ,

[0034] Example:

[0035] A data acquisition system based on an X-Collecto camera comprises a power supply module 1, a device control system layer module 2, a data acquisition terminal module 3, a communication transmission module 4, an image processing module 5, a processor module 6, a supOS application module 7, a low power management module 8, an image correction module 9, a noise elimination module 10 and a contrast enhancement module 11, wherein the output end of the power supply module 1 is connected to the input end of the device control system layer module 2, the output end of the device control system layer module 2 is connected to the input end of the data acquisition terminal module 3, the output end of the data acquisition terminal module 3 is connected to the input end of the communication transmission module 4, the output end of the communication transmission module 4 is connected to the input end of the image processing module 5, the output end of the image processing module 5 is connected to the input end of the processor module 6, and the output end of the processor module 6 is connected to the input end of the supOS application module 7.

[0036] The image processing module 5 is internally provided with an image correction module 9, a noise elimination module 10 and a contrast enhancement module 11, and the overall output end of the image correction module 9, the noise elimination module 10 and the contrast enhancement module 11 is connected to the input end of the image processing module 5;

[0037] The external power supply connection terminal of the device control system layer module 2 is provided with a low power consumption management module 8 .

[0038] The equipment control system layer module 2 includes PLC and intelligent instruments, with brands including Siemens and Mitsubishi. The interfaces include RS485, Ethernet, and I / O. The protocols include PLC protocols of various brands and Modbus protocol.

[0039] The data acquisition module 3 uses the OV2640 image sensor, which consumes 0.6 mA when in standby mode, and can achieve image acquisition with the fastest resolution of 15f / sUXGA (1600×1200) or 60f / sCIF (352×288). It has the advantages of high sensitivity, low crosstalk, low noise, high image clarity, and strong video capture function, and has multiple output formats, such as RGB565, RGB555, YUV (422 / 420), YCbCr422, and JPEG. In view of the limitation of the single-frame data size of Ethernet, the built-in JPEG compression algorithm of the OV2640 sensor is conducive to reducing the power consumption of Ethernet data transmission in this system.

[0040] The communication transmission module 4 adopts the Ethernet protocol stack. The specific transplantation process is as follows: ① Add the CH569Net_lib.a file. CH569Net_lib.a provides a TCP / IP subroutine library and integrates the UDP Ethernet protocol stack, which greatly reduces the development difficulty; ② Add the ethernet_config.h file, which contains the CH565 Gigabit Ethernet descriptor and the definition of each register; ③ Add the CH565 Gigabit Ethernet link layer transceiver interface function and interface definition, including the enablement and initialization of the RGMII interface, PHY chip initialization, MAC initialization, etc., as well as the addressing of the send buffer and the receive buffer IP address, port, etc.; ④, as well as the explicit protocol IP stack and local parameters: local MAC address and port.

[0041] The image correction module 9 adopts the radiation correction technology. After filtering using a multi-level nonlinear weighted average median filtering algorithm, it can be seen that the speckle noise of the SAR image is significantly reduced, and the texture features and detail information of the image are better preserved.

[0042] The noise cancellation module 10 comprises:

[0043] A degradation model is established based on the prior knowledge of image degradation. Based on this model, filtering is used to process the image so that the restored image meets the criteria and the quality of the sample image is improved.

[0044] The computer reads the DN value and integrating sphere radiation brightness value of the pixel according to the band of the integrating sphere calibration data. The DN value of each pixel of the integrating sphere calibration data is recorded as DN0(i,j), and the integrating sphere radiation brightness value is recorded as L0(j), where i is the pixel number, j is the band number, DN0 represents the digital output value of the detector pixel, and L0 is the integrating sphere radiance value. Since the infrared imaging system is linear, the laboratory linear absolute radiation calibration formula is used to calculate the digital output value of the detector pixel:

[0045] DN0(i,j)=k0(i,j)*L0(j),

[0046] Where k0(i,j) is the radiation correction coefficient for the jth band and the ith pixel;

[0047] (2) The original image data and radiation correction coefficient data are read by a computer to obtain the pixel DN value DN1(i, j) of each band of the original image data. DN1(i, j) is substituted into the radiation correction formula to obtain the radiation brightness value of each pixel of the original image after radiation correction, which is recorded as L1(i, j). The radiation correction formula is:

[0048]

[0049] The contrast enhancement module 11 improves the visual effect of the image, making it easier for human eyes to observe or machine analysis; the contrast enhancement module 11 uses histogram equalization as an enhancement method, and the pixel value s is obtained by mapping the cumulative distribution function (CDF), and the formula is:

[0050] Where r is the original pixel value, ni is the number of pixels with pixel value i, and n is the total number of pixels.

[0051] Processor module 6 uses CH565W module, which has a built-in 10 / 100 / 1000Mb / s MAC and RGMII interface. Considering the real-time performance of the system, RTL8211 produced by Realtek is used as the PHY chip external to the MCU. The chip supports 10M / 100M / 1000M Ethernet communication, and supports REGMII interface and GMII interface with 3.3V or 2.5V voltage standards. The monitoring terminal uploads the collected image data to the host computer through the RTL8211 chip using the UDP protocol;

[0052] supOS application module 7 uses supIDE of supOS industrial operating system to develop corresponding functions, collect statistics and analyze massive production big data, and display statistical data in various report applications according to user needs. Users can access the report application on supOS industrial operating system, call the structured data in the system, view the required data analysis content, and make strategic decisions on enterprise production and operation.

[0053] During use, when the low-power management module 8 receives a low-power wake-up signal from Ethernet, the system will exit the low-power mode and immediately start executing image acquisition and transmission tasks until it receives an instruction to enter the low-power mode or detects that the host computer cannot receive data, then it will enter the low-power mode again and wait for wake-up.

[0054] In the present invention, the image correction module 9 can reduce the speckle noise of the SAR image by adopting the radiation correction technology, which helps to improve the image quality, especially in terms of retaining details and texture features. This correction is essential for improving the clarity and readability of the image, especially in applications where accurate information needs to be extracted from the image.

[0055] The noise elimination module 10 can effectively remove the noise in the image and improve the image clarity and quality by establishing a priori knowledge model of image degradation and using filtering means for processing. This is crucial for subsequent image analysis and processing because noise can interfere with image feature extraction and recognition.

[0056] The contrast enhancement module 11 uses a histogram equalization method to improve the visual effect of the image, making the image easier for human eyes to observe or machine analysis. By adjusting the contrast of the image, the details and features of the image can be enhanced, which is particularly important in image recognition and monitoring applications. The setting of the entire image processing module 5 ensures that the original image data collected from the camera is converted into high-quality, clear images through a series of optimization processes, which are suitable for various application scenarios. These preprocessing steps are crucial to improving the overall performance and reliability of the system, especially in applications that require precise image analysis and recognition. Through the processing of these modules, the system can provide more accurate and reliable image data, thereby improving user satisfaction with the system.

[0057] In the present invention, the low power management module 8 can significantly reduce the overall power consumption of the system in the entire X-Collecto camera-based data acquisition system by putting the system into low power mode when real-time transmission of image data is not required. This is very important for extending the service life of the equipment, reducing energy consumption, and reducing operating costs. Reducing unnecessary power consumption not only saves energy, but also reduces equipment heat generation, thereby extending the service life of the equipment. This is particularly important for monitoring systems that require long-term stable operation. The low power mode helps to maintain the stability of the system, especially in environments with high temperatures or poor heat dissipation conditions. By reducing power consumption, the operating risk of the system in a high temperature environment is reduced, and failures caused by overheating are reduced. In low power mode, the system reduces or does not perform data transmission, which helps to optimize the use of network bandwidth, reduce the pressure of data transmission, and improve the efficiency of data processing and storage.

[0058] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the term "comprises" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article 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, article or device. In the absence of further restrictions, the elements defined by the sentence "comprises a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0059] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A data acquisition system based on an X-Collecto camera, comprising a power supply module (1), a device control system layer module (2), a data acquisition terminal module (3), a communication transmission module (4), an image processing module (5), a processor module (6), a supOS application module (7), a low power management module (8), an image correction module (9), a noise elimination module (10) and a contrast enhancement module (11), characterized in that: The output end of the power supply module (1) is connected to the input end of the device control system layer module (2), the output end of the device control system layer module (2) is connected to the input end of the data acquisition end module (3), the output end of the data acquisition end module (3) is connected to the input end of the communication transmission module (4), the output end of the communication transmission module (4) is connected to the input end of the image processing module (5), the output end of the image processing module (5) is connected to the input end of the processor module (6), and the output end of the processor module (6) is connected to the input end of the supOS application module (7).

2. A data acquisition system based on an X-Collecto camera as claimed in claim 1, characterized in that: An image correction module (9), a noise elimination module (10) and a contrast enhancement module (11) are arranged inside the image processing module (5); the overall output end of the image correction module (9), the noise elimination module (10) and the contrast enhancement module (11) is connected to the input end of the image processing module (5); The external power supply connection end of the device control system layer module (2) is provided with a low power consumption management module (8).

3. The data acquisition system based on X-Collecto camera as claimed in claim 1, characterized in that: The equipment control system layer module (2) includes PLC and intelligent instruments, with brands including Siemens and Mitsubishi, interfaces including RS485, Ethernet, and I / O, and protocols including PLC protocols of various brands and Modbus protocol.

4. The data acquisition system based on the X-Collecto camera as claimed in claim 1, characterized in that: The data acquisition terminal module (3) adopts an OV2640 image sensor, which has a power consumption of 0.6 mA when in standby mode, and can realize image acquisition with a resolution of 15f / sUXGA (1600×1200) or 60f / sCIF (352×288). It has the advantages of high sensitivity, low crosstalk, low noise, high image clarity, and strong video capture function, and has multiple output formats, including RGB565, RGB555, YUV (422 / 420), YCbCr422, and JPEG.

5. The data acquisition system based on X-Collecto camera as claimed in claim 1, characterized in that: The communication transmission module (4) adopts the Ethernet protocol stack, and the specific transplantation process is as follows: ① adding the CH569Net_lib.a file, which provides a TCP / IP subroutine library and integrates the UDP Ethernet protocol stack, thereby greatly reducing the development difficulty; ② adding the ethernet_config.h file, which contains the CH565 Gigabit Ethernet descriptor and the definitions of various registers; ③ adding the CH565 Gigabit Ethernet link layer transceiver interface function and interface definition, including the enabling and initialization of the RGMII interface, the PHY chip initialization, the MAC initialization, and the IP address and port of the sending buffer and the receiving buffer; ④, using the protocol IP stack and local parameters: the local MAC address and port.

6. The data acquisition system based on X-Collecto camera as claimed in claim 1, characterized in that: The image correction module (9) adopts a radiation correction technology. After filtering using a multi-level nonlinear weighted average median filtering algorithm, it can be seen that the speckle noise of the SAR image is significantly reduced, and the texture features and detail information of the image are well preserved.

7. The data acquisition system based on X-Collecto camera as claimed in claim 1, characterized in that: The noise elimination module (10) comprises: A degradation model is established based on the prior knowledge of image degradation. Based on this model, filtering is used to process the image so that the restored image meets the criteria and the quality of the sample image is improved. The computer reads the DN value and integrating sphere radiation brightness value of the pixel according to the band of the integrating sphere calibration data. The DN value of each pixel of the integrating sphere calibration data is recorded as DN0(i,j), and the integrating sphere radiation brightness value is recorded as L0(j), where i is the pixel number, j is the band number, DN0 represents the digital output value of the detector pixel, and L0 is the integrating sphere radiance value. Since the infrared imaging system is linear, the laboratory linear absolute radiation calibration formula is used to calculate the digital output value of the detector pixel: DN0(i,j)=k0(i,j)*L0(j), Where k0(i,j) is the radiation correction coefficient for the jth band and the ith pixel; (2) The original image data and radiation correction coefficient data are read by a computer to obtain the pixel DN value DN1(i, j) of each band of the original image data. DN1(i, j) is substituted into the radiation correction formula to obtain the radiation brightness value of each pixel of the original image after radiation correction, which is recorded as L1(i, j). The radiation correction formula is:

8. The data acquisition system based on X-Collecto camera as claimed in claim 1, characterized in that: The contrast enhancement module (11) improves the visual effect of the image, making it easier for human eyes to observe or machine analysis; the contrast enhancement module (11) uses histogram equalization as an enhancement method, and the pixel value s is obtained by cumulative distribution function (CDF) mapping, and the formula is: Where r is the original pixel value, ni is the number of pixels with pixel value i, and n is the total number of pixels.

9. The data acquisition system based on X-Collecto camera as claimed in claim 1, characterized in that: The processor module (6) uses a CH565W module, which has a built-in 10 / 100 / 1000Mb / s MAC and an RGMII interface. Considering the real-time performance of the system, the RTL8211 produced by Realtek is used as the PHY chip external to the MCU; The supOS application module (7) uses the supIDE of the supOS industrial operating system to develop corresponding functions, statistics and analyze massive production big data, and displays statistical data in various report applications according to user needs. Users access the report application on the supOS industrial operating system, call the structured data in the system, view the required data analysis content, and realize strategic decision-making on the production and operation of the enterprise.

10. The data acquisition system based on X-Collecto camera according to claim 1, characterized in that: When the low power management module (8) is in use, the system will exit the low power mode only after receiving a low power wake-up signal from Ethernet, and will immediately start to execute image acquisition and transmission tasks, until receiving an instruction to enter the low power mode or detecting that the host computer cannot receive data, and then entering the low power mode again to wait for wake-up.

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