Multi-spectral image high-speed acquisition method, system and equipment for plane information detection

Abstract

The invention belongs to the field of image scanning, recognition, defect detection, authentic identification and the like, and discloses a multispectral image high-speed acquisition method, system and equipment for plane information detection, the acquisition system comprises an image acquisition board and a contact image sensor, and the acquisition system realizes command and data interaction with an upper computer through a communication interface. And the acquisition system is packaged under a customized closed metal shell to form acquisition equipment. The image acquisition board comprises an FPGA chip used for realizing system control and image preprocessing, a CIS sensor control module used for realizing anti-counterfeit label image data acquisition, a storage module used for realizing data caching, and a communication module used for realizing communication with an upper computer end. According to the invention, various spectrums and various resolution images are provided for plane information detection, real-time image processing can be carried out, the structure is simple, the use is convenient, and the universality is strong.

Description

Technical Field

[0001] The present invention belongs to but is not limited to the technical fields of image scanning, recognition and defect detection, counterfeiting identification, etc., and in particular relates to a multi-spectral image high-speed acquisition method, system and equipment for plane information detection. Background Art

[0002] With the development of automated industrial production lines, the realization of multi-spectral real-time detection of planar information is of great significance for the effectiveness of products such as anti-counterfeiting labels and for improving the work efficiency of relevant practitioners. Anti-counterfeiting labels will present images with anti-counterfeiting features under infrared and ultraviolet light, and such optical images will be used to identify the authenticity of products. At present, industrial cameras are often used to obtain images, but the detection systems based on industrial cameras on the market generally have the following limitations: single spectrum acquisition (most of them only support black and white and color images, and cannot obtain color white light images and infrared images at the same time), cumbersome structure (occupying large space and inconvenient assembly), poor image quality (focal length is too long, high-resolution images cannot be acquired), high data processing delay, high power consumption, and high price. Based on this, a system and equipment with compact structure, small size, low cost, convenient application, and capable of simultaneously and quickly acquiring multi-spectral images including color white light, infrared light and ultraviolet light to complete real-time detection is designed, which can largely meet the needs of relevant staff in the online production and inspection of production quality of products such as anti-counterfeiting labels; such an image acquisition system can be used for the acquisition and processing of ordinary color white light images, infrared, and ultraviolet fluorescence images, and is easy to promote and has strong universality.

[0003] In view of the above analysis, the technical problems that need to be solved urgently in the prior art are:

[0004] In the existing industrial production line defect detection, the image acquisition and detection system has the problems of single spectrum, complicated structure, low image resolution, poor image contrast, poor real-time performance, low transmission speed, and inability to provide high-precision infrared images and ultraviolet fluorescence images. Summary of the invention

[0005] In view of the problems existing in the prior art, the present invention provides a multi-spectral image high-speed acquisition method, system and device for plane information detection.

[0006] The present invention is implemented as follows: a multispectral image high-speed acquisition device for plane information detection, characterized in that the multispectral image high-speed acquisition device for plane information detection is provided with a closed metal shell, an image acquisition board, and a contact image sensor (CIS): the image acquisition board is fixed inside the metal shell, the contact image sensor is embedded in the metal shell, and the photosensitive unit side is flush with the shell surface on the outside; the image acquisition board is connected to the contact image sensor through a flexible cable; the contact image sensor supports image acquisition of ultraviolet fluorescence, infrared light, and colored white light.

[0007] Furthermore, the metal shell completely wraps the circuit board, a fixed slot is arranged inside the metal shell to fix the image acquisition board, the bracket can adjust the imaging focal length of the device through a knob, and the horizontal position of the camera can be adjusted through a knob. The bracket can be fixed on the anti-counterfeiting label production line through a reserved screw hole, and a DC power supply interface and a USB interface are reserved on the side of the metal shell for powering the image acquisition board and data interaction between the PC and the device.

[0008] Furthermore, the image acquisition board, FPGA determines the multi-spectral type to be collected according to the instructions issued by the host computer, establishes an address mapping table for image data under different spectra of colored white light, infrared, and ultraviolet fluorescence, and maps the data under each spectrum in a determined storage space.

[0009] Another object of the present invention is to provide a multi-spectral image high-speed acquisition system for plane information detection, which structurally includes an FPGA system control and image acquisition module, a CIS sensor module, an analog-to-digital conversion module, a storage module, and a communication interface module; the FPGA system control and image acquisition module is connected to each module, the output end of the CIS sensor control is connected to the input end of the analog-to-digital conversion module, and the host computer module is used to realize control command management and sending:

[0010] The FPGA system control and image acquisition module is used to interact with the CIS sensor, AFE converter, memory, and host computer to achieve overall control of the system, collect images, and process them;

[0011] The CIS sensor module is used to realize the output of the optical signal of the image to the analog electrical signal, wherein the CIS has multiple light sources such as red light, blue light, green light, infrared light, ultraviolet light, etc., and can output color images under specific light sources, and can mix the three primary colors of light in the spectrum: red light, blue light and green light, in a certain proportion to obtain white light;

[0012] The analog-to-digital conversion module is used to convert analog signals into digital signals and output them;

[0013] The storage module is used to implement image data caching;

[0014] The communication interface module is used to realize the communication between FPGA and the host computer and complete the transmission of control commands and image data.

[0015] Furthermore, when in use, the acquisition system can choose to output one or more images under the color white light, infrared light, and ultraviolet light spectra; different resolutions can be selected; and the acquisition speed can be continuously adjusted through control instructions.

[0016] Furthermore, the FPGA logic part is designed to include a CIS interface module, an instruction processing module, a memory interface module, an image acquisition module, an image processing module, and a transmission module. In the image processing module, three image processing algorithms are deployed, namely, a CIS segmented image data rearrangement algorithm, a point-by-point correction algorithm for image data, and a JPEG real-time compression algorithm applied to CIS acquisition scenarios; the point-by-point correction uses polynomial fitting to achieve the acquisition of higher contrast images; the JPEG compression algorithm combines the actual CIS data flow and FPGA characteristics to decompose the two-dimensional DCT into two one-dimensional DCTs and complete the calculation during the acquisition cache process.

[0017] Another object of the present invention is to provide a multispectral image high-speed acquisition method for plane information detection, and the specific operation steps are as follows:

[0018] (1) The acquisition system is assembled in a metal casing and fixed on the anti-counterfeiting label production line. The host computer sends register parameters and image acquisition commands to the main control chip FPGA through the communication module;

[0019] (2) Before formal image acquisition, standard grayscale calibration paper (the grayscale design can be adjusted according to the algorithm) is placed closely under the CIS to calculate the CIS calibration data. The data is stored in the flash chip and read by the FPGA control after each power-on.

[0020] (3) After the system is powered off and restarted, the main control chip FPGA receives instructions from the host computer to adjust the acquisition speed and start or stop acquisition;

[0021] (4) The main control chip FPGA uploads image data to the host computer through the communication module;

[0022] (5) The host computer completes the display and storage of image data.

[0023] In combination with the above technical solutions and the technical problems solved, the advantages and positive effects of the technical solutions to be protected by the present invention are as follows:

[0024] First, the system provided by the present invention not only overcomes the limitations of the current planar information detection systems on the market, such as single image spectrum, low image resolution, long focal length, and complex scanning structure, but also uses hardware to implement a point-by-point correction algorithm to achieve real-time image acquisition. The collected images can not only select color white light, red light, green light, blue light, infrared light, and ultraviolet light, but also select a variety of resolutions, which effectively improves the accuracy and comprehensiveness of the collected images. In addition, a coding compression method is designed for infrared images and ultraviolet fluorescent images to reduce the amount of image data and alleviate transmission pressure.

[0025] Second, in the existing multispectral image acquisition technology, the system design is complex and lacks flexibility, making it difficult to meet the acquisition tasks of multiple scenarios and multiple requirements in industrial applications. Traditional acquisition systems usually rely on loose integration of multiple modules, resulting in high control complexity and low acquisition speed, making it difficult to support real-time processing of high-resolution images. In addition, image acquisition devices in existing technologies often lack dynamic adjustment capabilities and cannot flexibly switch between multispectral modes and different resolutions, limiting their wide application in industrial detection, remote sensing monitoring, and medical imaging. Therefore, industrial applications urgently need a highly integrated, flexible and efficient multispectral image acquisition system.

[0026] The present invention solves the real-time and flexibility problems in the prior art from the bottom up by adopting a pure hardware image acquisition circuit solution with FPGA as the core. The system design integrates support for multiple spectral modes, including red light, blue light, green light, infrared light and ultraviolet light, and realizes comprehensive control of CIS sensors, analog-to-digital conversion modules, storage modules and communication interface modules through FPGA logic. Users can flexibly select spectral modes, resolutions and acquisition speeds through the host computer, and obtain high-quality image data in real time. The entire system adopts a modular design, which not only improves the parallel capability of data processing, but also significantly improves the flexibility and efficiency of multi-spectral image acquisition.

[0027] Compared with traditional technologies, the present invention shows significant technological progress in industrial applications. First, by realizing image acquisition and processing through pure hardware, the system has the advantages of strong real-time performance and low latency, and can meet the high-speed acquisition requirements of high-resolution images. Secondly, the system supports multi-spectral mode and dynamic adjustment functions, and can realize a variety of acquisition tasks under monochromatic and mixed light conditions without replacing hardware. In addition, the optimized design of the storage module and the communication interface ensures the stable transmission and caching of large amounts of data, significantly improving the reliability and applicability of the system.

[0028] The multispectral image acquisition system of the present invention has brought practical value and technological breakthroughs to multiple industrial fields. In the field of industrial inspection, the system can quickly identify material properties and surface defects through multispectral images; in agricultural monitoring, the system can analyze the health of crops through infrared and ultraviolet spectra; in the field of medical imaging, the system can provide accurate multispectral images to support disease diagnosis. The present invention not only improves the efficiency and flexibility of multispectral image acquisition equipment, but also opens up new paths for high-resolution image processing and multi-scenario applications, and promotes the industrialization process of multispectral acquisition technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 is a structural schematic diagram of an image acquisition and detection system provided by an embodiment of the present invention;

[0030] Figure 2 It is a specific implementation method of the FPGA internal logic provided by the embodiment of the present invention;

[0031] Figure 3 It is an overall flow chart provided by an embodiment of the present invention;

[0032] Figure 4 This is an application scenario in which the solution and device provided by the embodiments of the present invention can be used. DETAILED DESCRIPTION

[0033] 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 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.

[0034] The embodiment of the present invention provides a multi-spectral image high-speed acquisition device for plane information detection, the device is provided with a closed metal shell, an image acquisition board, and a contact image sensor. The image acquisition board is fixed inside the metal shell, the contact image sensor is embedded in the metal shell, and the photosensitive unit side is flush with the shell surface outside; the image acquisition board is connected to the contact image sensor through a flexible flat cable; the contact image sensor supports ultraviolet fluorescence, infrared light, and color white light image acquisition.

[0035] The metal shell completely wraps the circuit board, and a fixed card slot is set inside the metal shell to fix the image acquisition board. The bracket can adjust the imaging focal length of the device through the knob, and the horizontal position of the camera can be adjusted through the knob. The bracket can be fixed on the anti-counterfeiting label production line through the reserved screw hole. The DC power interface and USB interface are reserved on the side of the metal shell for power supply of the image acquisition board and data interaction between the PC and the device. The system is encapsulated in a metal shell to shield the electromagnetic wave interference in the production workshop. At the same time, the mechanical structure is designed to adjust the CIS position according to the actual width of the assembly line, and the height can be adjusted to the CIS focal length according to the depth of the assembly line. Metal materials, for example, lead metal and aluminum metal. This type of metal material has the advantages of high conductivity and corrosion resistance, can effectively reflect electromagnetic radiation, and has good stability.

[0036] like Figure 1 As shown, the multispectral image high-speed acquisition system for plane information detection provided by the embodiment of the present invention, the image acquisition board circuit system solution adopts a pure hardware method, has the function of real-time image acquisition, includes FPGA, SDRAM memory chip, AFE controller, the system structure includes FPGA system control and image acquisition module, CIS sensor module, analog-to-digital conversion module, storage module, communication interface module; the FPGA system control and image acquisition module is connected to each module, the output end of the CIS sensor control is connected to the input end of the analog-to-digital conversion module, and the host computer module is used to realize control command management and sending.

[0037] FPGA system control and image acquisition module, used to interact with CIS sensor, AFE converter, memory, and host computer to achieve overall system control, image acquisition and processing;

[0038] CIS sensor module is used to realize the output of image optical signal to analog electrical signal. CIS has multiple light sources such as red light, blue light, green light, infrared light, ultraviolet light, etc. It can output color images under specific light sources and can mix the three primary colors of light in the spectrum: red light, blue light and green light in a certain proportion to obtain white light;

[0039] Analog-to-digital conversion module, used to convert analog signals into digital signals and output them;

[0040] A storage module, used to implement image data caching;

[0041] The communication interface module is used to realize the communication between FPGA and the host computer and complete the control command and image data transmission.

[0042] When using the acquisition system, you can choose to output one or more images under the color white light, infrared light, and ultraviolet light spectra; you can choose different resolutions; and you can continuously adjust the acquisition speed through control instructions.

[0043] The FPGA logic part design includes a CIS interface module, an instruction processing module, a memory interface module, an image acquisition module, an image processing module, and a transmission module.

[0044] 1. Image acquisition and system control principles

[0045] The multi-spectral image high-speed acquisition system provided by the present invention is based on FPGA as the core, and undertakes the overall control and data processing functions of the system. FPGA realizes the control of the sensor through the interface with the CIS sensor module, including selecting a specific light source (such as red light, blue light, green light, infrared light or ultraviolet light) and starting the image acquisition process. The CIS sensor converts the optical signal into an analog electrical signal, and converts the analog signal into a digital signal through an analog-to-digital conversion module (AFE). FPGA receives the digitized image data, and caches, processes and manages the data through the internal logic module, and dynamically adjusts the image acquisition parameters such as resolution, acquisition speed and spectral range according to the control instructions sent by the host computer.

[0046] 2. Generation and processing of multispectral image data

[0047] The CIS sensor module can output monochromatic images of red, blue, and green light, or generate white light images by mixing the three colors of light, depending on the choice of light source. It also supports image acquisition of infrared and ultraviolet light. The sensor converts the captured light signal into an analog signal, and accurately converts it into a digital signal through the analog-to-digital conversion module. The image acquisition module of the FPGA receives and caches the digitized image data. The image processing module formats the data according to requirements, such as noise reduction and resolution adjustment, to provide optimized data for subsequent storage and transmission.

[0048] 3. Data caching and communication transmission

[0049] FPGA temporarily stores the processed image data in high-speed SDRAM memory to ensure the real-time and integrity of the data during the acquisition process. The storage module acts as a data buffer to solve the mismatch between the sensor output and the communication transmission rate. The communication interface module is responsible for the two-way communication between the FPGA and the host computer. The FPGA adjusts the acquisition parameters such as light source selection, resolution and acquisition speed according to the control instructions sent by the host computer. At the same time, the image data is transmitted to the host computer at high speed through the communication interface for subsequent analysis and processing.

[0050] 4. Host computer control and dynamic adjustment

[0051] The host computer module serves as the center of user control and data management, and interacts with the FPGA through the communication interface module. Users can send control commands through the host computer to select different spectral modes (such as colored white light, infrared light, ultraviolet light) and resolutions, as well as set the acquisition speed to achieve dynamic adjustment. After the host computer receives the acquired image data, it can be directly displayed, saved, or further analyzed. The system supports continuous acquisition and dynamic adjustment, adapts to a variety of application scenarios, provides efficient and flexible multi-spectral image acquisition capabilities, and significantly improves acquisition efficiency and image quality.

[0052] In the image processing module, three image processing algorithms are deployed, namely, an algorithm for rearranging the segmented image data of the CIS, a point-by-point correction algorithm for the image data, and a JPEG real-time compression algorithm applied to CIS acquisition scenarios; the point-by-point correction uses polynomial fitting to achieve the acquisition of higher contrast images. Compared with other common acquisition solutions on the market, the application of this technology point can clearly acquire images with darker backgrounds, can better adapt to different scenes, and is more conducive to the reading work of the host computer; the JPEG compression algorithm combines the actual CIS data flow and FPGA characteristics to decompose the two-dimensional DCT into two one-dimensional DCTs and complete the calculation during the acquisition cache process. The application of this technology point can achieve lower acquisition delay and smaller resource occupancy.

[0053] Figure 2 It is a specific implementation method of the FPGA logic of the embodiment of the present invention. The embodiment of the present invention uses an FPGA chip as the main control chip and uses a contact image sensor to collect images to achieve real-time acquisition of multi-spectral images of planar information. On the one hand, in the application scenario of planar information acquisition, the use of contact image sensors can effectively improve the resolution of collected images, compress the volume of equipment, and achieve simultaneous acquisition of multi-spectral images; on the other hand, by utilizing the high-speed parallel characteristics of FPGA, a digital circuit is built inside the FPGA to complete the rearrangement and preprocessing of each segment of CIS image data for the large amount of data output by the contact image sensor.

[0054] The embodiment of the present invention uses FPGA to collect image data after CIS analog-to-digital conversion, and implements image preprocessing through correction parameters sent by the host computer. A computer equipped with host computer software is used to send parameters and image acquisition control commands, and to read, display and store image data detection results. The computer is connected to the detection device to realize data interaction between the acquisition system and the host computer. The device end completes data acquisition and processing, and the host computer end has less computing pressure and lower processing delay.

[0055] Figure 3This is the overall flow chart for implementing the use case. Specifically, it can be described as follows: fix the detection equipment above the production line and start the image acquisition system; before the acquisition is required, place the correction paper close to the bottom of the sensor, the host computer sends parameter configuration commands and correction commands, and after receiving the commands, the FPGA performs initialization (parameter acquisition, correction calculation, etc.); when starting acquisition, the host computer sends a start acquisition command, and after receiving the command, the FPGA continuously acquires images and performs correction processing, and sends the corrected image data to the host computer, and the host computer software realizes the reading, display, and storage of image data; when stopping acquisition, the host computer sends a stop acquisition command, and the FPGA stops acquisition after receiving the command.

[0056] Figure 4 This is an application scenario in which the solution and device described in the embodiment of the present invention can be used. The device is set up at both ends of the production line, and the width and height are adjusted to adapt to different production lines. After the device completes the calibration work, the production line is started. Multispectral images can be quickly collected and uploaded to the host computer in real time after fast processing and compression by FPGA.

[0057] The advantages of the embodiments of the present invention are that they provide multiple spectra and multiple resolution images for plane information detection, can perform real-time image processing, have a simple structure, are easy to use, and have strong universality.

[0058] The following are two specific embodiments of the present invention, showing its practical use and effects in different application scenarios:

[0059] Example 1: Multispectral image acquisition system for industrial inspection

[0060] Application scenarios:

[0061] In the field of industrial manufacturing, multispectral image acquisition technology is used to detect surface defects of metal parts (such as cracks, scratches, corrosion, etc.).

[0062] Implementation steps:

[0063] System settings:

[0064] The multispectral image acquisition system of the present invention is installed on an industrial assembly line, and a CIS sensor module is used with an adjustable light source (including red light, blue light, and infrared light) for defect detection. The host computer sets the acquisition resolution to 2000×2000 pixels and the acquisition speed to 30 frames per second.

[0065] Data collection:

[0066] The FPGA control system captures images of the part surface under different spectra through the CIS sensor module. The analog-to-digital conversion module converts the analog signal into a digital signal, and the FPGA logic control pre-processes the data and caches it in the SDRAM storage module.

[0067] Data transmission and processing:

[0068] The multispectral image is transmitted to the host computer via the communication interface module, the corrosion area is identified by the infrared spectrum image using the industrial detection algorithm, and the surface cracks are detected using the blue light spectrum image.

[0069] Test results:

[0070] Experiments show that the system can complete multi-spectral detection on a real-time assembly line, with the recognition accuracy of cracks and corrosion areas reaching over 95%, significantly improving the detection efficiency of the production line.

[0071] Example 2: Multispectral image acquisition system for agricultural monitoring

[0072] Application scenarios:

[0073] In precision agriculture, multispectral image acquisition systems are used to monitor crop growth and health status.

[0074] Implementation steps:

[0075] System settings:

[0076] The multispectral image acquisition system was mounted on a UAV platform to conduct aerial monitoring of farmland areas. The system selected three spectral modes: red light, infrared light, and ultraviolet light, with a resolution of 4000×4000 pixels and an acquisition speed of 15 frames per second.

[0077] Data collection:

[0078] The FPGA controls the CIS sensor module to collect the multi-spectral light signals reflected by the crops. The analog-to-digital conversion module digitizes the signals and stores them in the SDRAM module for subsequent processing.

[0079] Data transmission and analysis:

[0080] The images are transmitted to the ground station host computer via a wireless communication interface, and the infrared spectral data is analyzed using a vegetation index algorithm (such as NDVI) to assess crop health; ultraviolet images are used to detect signs of pests and leaf damage.

[0081] Monitoring results: The experiment shows that the multi-spectral acquisition system of the present invention can quickly complete full coverage scanning of farmland crops and generate high-precision images of crop health status and pest distribution, providing a scientific basis for precise fertilization and pest control.

[0082] The above two embodiments demonstrate the application of the present invention in the industrial and agricultural fields, embody the flexibility, efficiency and multi-spectral adaptability of the system, and provide technical support for high-quality image acquisition and intelligent analysis in multiple scenarios.

[0083] It should be noted that the embodiments of the present invention can be implemented by hardware, software, or a combination of software and hardware. The hardware part can be implemented using dedicated logic; the software part can be stored in a memory and executed by an appropriate instruction execution system, such as a microprocessor or dedicated design hardware. It can be understood by a person of ordinary skill in the art that the above-mentioned devices and methods can be implemented using computer executable instructions and / or contained in a processor control code, such as a carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. Such code is provided on the carrier medium. The device and its modules of the present invention can be implemented by hardware circuits such as very large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, etc., or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., can also be implemented by software executed by various types of processors, and can also be implemented by a combination of the above-mentioned hardware circuits and software, such as firmware.

[0084] The above description is only within the technical scope disclosed by the specific implementation method of the present invention. Any modifications and equivalents made within the spirit and principle of the present invention, but the protection scope of the present invention is not limited to this. Any replacement and improvement by any technician familiar with the technical field should be covered within the protection scope of the present invention.

Claims

1. A multispectral image high-speed acquisition system for plane information detection, characterized in that: The system includes: FPGA system control and image acquisition module, used to interact with CIS sensor module, analog-to-digital conversion module, storage module and communication interface module to realize image data acquisition, processing and storage; CIS sensor module, used to realize the conversion of optical signals of images into analog electrical signals, supports image acquisition of multiple light sources such as red light, blue light, green light, infrared light and ultraviolet light; The analog-to-digital conversion module is used to convert the analog signal output by the CIS sensor into a digital signal and output it to the FPGA system control and image acquisition module; Storage module, used to cache image data to ensure real-time data processing; The communication interface module is used to realize two-way communication between the FPGA system control and image acquisition module and the host computer, including control command transmission and image data transmission.

2. The multispectral image high-speed acquisition system for plane information detection according to claim 1, characterized in that: The FPGA system control and image acquisition module includes: CIS interface module, used to interact with the CIS sensor to achieve light source switching and acquisition parameter settings; The command processing module is used to receive and analyze the control commands sent by the host computer; A memory interface module for managing the cache and access operations of image data; An image acquisition module is used to start the image acquisition process of the CIS sensor according to the instruction; Image processing module, including image rearrangement algorithm, point-by-point correction algorithm and JPEG compression algorithm, used to optimize image quality and reduce data volume; The transmission module is used to upload the processed image data to the host computer through the communication interface module.

3. The multispectral image high-speed acquisition system for plane information detection according to claim 1, characterized in that: The CIS sensor module has multiple spectral modes, including colored white light, infrared light and ultraviolet light, and can generate white light images by mixing red light, blue light and green light in proportion, supporting fast switching and acquisition of multi-spectral images.

4. The multispectral image high-speed acquisition system for plane information detection according to claim 1, characterized in that: The storage module adopts SDRAM memory chip to temporarily store the collected image data, and realizes efficient access operation of data through the memory interface module, thereby ensuring the real-time performance of multi-spectral high-speed collection.

5. The multispectral image high-speed acquisition system for plane information detection according to claim 1, characterized in that: The communication interface module includes a USB interface and a DC power interface, wherein the USB interface is used for data transmission and command interaction with the host computer, and the DC power interface provides a stable power supply for the entire system.

6. The multispectral image high-speed acquisition system for plane information detection according to claim 1, characterized in that: The host computer sends register parameters and acquisition commands to the FPGA system control and image acquisition module through the communication interface module, supports dynamic adjustment of acquisition speed, resolution and spectral mode, and receives and displays real-time uploaded image data.

7. A multispectral image high-speed acquisition method for plane information detection, characterized in that: The following steps are involved: 1) System initialization: Assemble the multispectral image acquisition device in a metal casing and fix it in the plane information detection scene, and send register parameters and acquisition commands to the FPGA through the host computer; 2) Calibration and initialization parameter loading: Before formal image acquisition, use standard grayscale calibration paper to stick to the bottom of the CIS sensor, calculate the CIS sensor calibration data, and store the calibration data in the system storage module; 3) Image acquisition: According to the instructions sent by the host computer, the CIS sensor module is controlled to collect image signals under different spectral modes (color white light, infrared light, ultraviolet light), and the analog-to-digital conversion module converts the collected analog signals into digital signals; 4) Data processing and transmission: FPGA rearranges and corrects the collected digital image data point by point, optimizes it through the JPEG compression algorithm, and uploads it to the host computer through the communication module; 5) Result output: The host computer receives, displays and stores the collected multispectral image data.

8. The method according to claim 7, characterized in that The image acquisition in step 3 is performed in the following manner: 1) FPGA controls the light source switching of the CIS sensor through the CIS interface module to realize red light, blue light, green light, infrared light or ultraviolet light image acquisition; 2) The analog-to-digital conversion module receives the analog signal output by the CIS sensor, converts it into a digital signal and transmits it to the FPGA; 3) Through the image processing module of FPGA, a multi-spectral address mapping table is established according to the spectral spectrum to ensure that the image data under each spectrum is stored in the designated storage space.

9. The method according to claim 7, characterized in that The data processing in step 4 includes the following steps: 1) Using CIS rearrangement algorithm to adjust the format of image data of different spectral segments; 2) Applying the point-by-point correction algorithm, a polynomial fitting method is used to correct the acquisition error of the CIS sensor to achieve uniform image brightness and contrast; 3) Use the two-dimensional JPEG compression algorithm to decompose the two-dimensional DCT transform into two one-dimensional DCT operations, complete the compression during the data caching process, reduce the data volume, and improve the transmission efficiency.

10. The method according to claim 7, characterized in that The system supports the following dynamic adjustment functions during operation: 1) The host computer sends real-time instructions to the FPGA through the communication module to dynamically adjust the acquisition speed, resolution and spectral mode of the CIS sensor; 2) By adjusting the spectral output mode of the device, continuous acquisition of single spectrum (such as infrared light, ultraviolet light) or multi-spectrum (such as color white light and infrared light) combined images can be achieved; 3) Adjust the knob on the bracket to control the focal length and imaging position of the device to ensure image acquisition quality.

Images