Hyperspectral principle embedded spectral image detection system

Abstract

A hyperspectral principle embedded spectral image detection system disclosed by the present invention comprises a spectral image acquisition unit and a spectral image processing unit, the spectral image acquisition unit and the spectral image processing unit are connected through a bus, the spectral image acquisition unit comprises a base station, supporting legs are arranged below the base station, and the base station is connected with the spectral image processing unit through a bus. A U-shaped frame is arranged above the base station, and a hyperspectral sensor is arranged at the top of the inner side of the U-shaped frame. Compared with the prior art, the detection system has the advantages that the light sensor and the wide-spectrum (high-performance halogen lamp and supporting 430-1700nm wavelength) light source are arranged, so that the detection system can automatically adjust the illumination intensity of the light source along with the light condition of the detection environment, the hyperspectral sensor can acquire a high-quality spectral image, the detection is more accurate, and the detection efficiency is improved. The U-shaped frame can be moved or the height of the circular truncated cone can be adjusted according to the size of a detected product, so that the detection system can comprehensively detect the product, is suitable for various product sizes, improves the cost performance of the detection system, is simple in structure and convenient to use, and can delicately process collected spectral images.

Description

Technical Field

[0001] This invention relates to the field of hyperspectral detection technology, specifically to an embedded hyperspectral image detection system based on hyperspectral principles. Background Art

[0002] In modern industrial testing, agricultural assessment, and environmental monitoring, the demand for rapid and accurate analysis of material composition and structure is increasingly urgent. Traditional detection techniques, such as chemical analysis, while highly accurate, suffer from drawbacks such as cumbersome operation, long processing time, and the need to destroy samples, making them unsuitable for real-time online detection scenarios. On the other hand, ordinary optical imaging technology can only acquire two-dimensional spatial information of objects and cannot reflect the spectral characteristics of substances, making it difficult to achieve qualitative and quantitative analysis of material composition. Hyperspectral imaging technology, as an emerging technology that integrates spectral analysis and image recognition, can simultaneously acquire spatial image information and continuous spectral information of objects. By analyzing the unique spectral fingerprints of different substances, it can achieve accurate identification and detection of material components, thus showing great application potential in many fields. However, existing hyperspectral detection systems are mostly large-scale laboratory equipment, which suffers from problems such as bulky size, high power consumption, high cost, and poor portability, making it difficult to integrate them into embedded scenarios such as industrial production lines and mobile detection equipment. Meanwhile, some miniaturized spectroscopic detection devices in existing technologies often suffer from drawbacks such as low spectral resolution, slow image acquisition speed, and insufficient data processing capabilities, making it difficult to balance detection accuracy and efficiency. Furthermore, the hardware architecture and software algorithms of traditional hyperspectral systems are relatively independent, resulting in poor coordination between data transmission and processing, which easily leads to data delays and packet loss, affecting the real-time performance and reliability of detection. Therefore, developing an embedded spectral image detection system that is compact, low-power, high-spectral-resolution, highly integrated, and capable of real-time data acquisition and rapid analysis is crucial for solving the current challenges faced by hyperspectral detection technology in practical applications. This is of great significance for promoting the industrialization and portable application of hyperspectral technology. Summary of the Invention The technical problem to be solved by the present invention is the technical problem described above, and to provide an embedded spectral image detection system that is easy to use, has good processing effect, high quality of spectral image acquisition, and can be used to detect products of multiple sizes.

[0003] To solve the above-mentioned technical problems, the technical solution provided by the present invention is as follows: an embedded spectral image detection system, including a spectral image acquisition unit and a spectral image processing unit, wherein the spectral image acquisition unit and the spectral image processing unit are connected by a bus; the spectral image acquisition unit includes a base, with legs below the base and a U-shaped frame above the base; a camera device is provided on the top inner side of the U-shaped frame; supplementary lights A and B are provided on both sides of the U-shaped frame; a frustum is carved in the middle of the base; a shelf is provided between the legs of the frustum; a motor is provided on the shelf; the drive shaft of the motor is connected to a lead screw; the lead screw passes through a fixing plate; the end of the lead screw is connected to the bottom of the frustum; guide rods are provided on both sides of the lead screw on the fixing plate; the other end of the guide rod is connected to the frustum; the spectral image processing unit includes a computer, a keyboard, and a mouse; the computer is connected to the keyboard and mouse via a USB data cable.

[0004] As an improvement, the bottom of the outrigger is provided with a foot, which is threadedly connected to the outrigger, making it convenient to use and easy to adjust the level of the base, and adaptable to various ground environments.

[0005] As an improvement, the base has grooves on both sides, and rollers are provided at the bottom of the two side plates of the U-shaped plate. The rollers are set in the grooves and move along the grooves, which allows the U-shaped plate to move along the grooves. This enables comprehensive image acquisition of larger products, and is convenient to use with a simple structure.

[0006] As an improvement, the top of the U-shaped plate is equipped with a hyperspectral sensor on one side of the camera device, which can detect the intensity of light in real time, allowing the computer to adjust the light source based on the detected data.

[0007] As an improvement, the supplementary lights A and B use a wide-spectrum (high-performance halogen lamp, supporting wavelengths of 430~1700nm) light source, which can adjust the appropriate illumination intensity according to the intensity of the ambient light, thereby improving the image acquisition quality.

[0008] As an improvement, the computer is equipped with spectral image processing software, which can perform image processing such as cropping and comparison on spectral images to complete the detection task.

[0009] The advantages of this invention compared to existing technologies are as follows: It incorporates a spectral sensor and a broad-spectrum (high-performance halogen lamp supporting wavelengths from 430 to 1700 nm) light source, enabling the detection system to automatically adjust the intensity of the light source according to the ambient light conditions. This allows the camera device to acquire high-quality images, resulting in more accurate detection. The U-shaped frame can be moved or the height of the frustum adjusted according to the size of the product being inspected, allowing for comprehensive product inspection. It is suitable for various product sizes, improving the cost-effectiveness of the detection system. The structure is simple, easy to use, and allows for detailed processing of the acquired images. Attached Figure Description

[0010] Figure 1 This is a schematic diagram of the structure of a hyperspectral embedded spectral image detection system according to the present invention.

[0011] Figure 2 This is a top view of the image acquisition unit of a hyperspectral embedded spectral detection system according to the present invention.

[0012] Figure 3 This is a flowchart of the operation of a hyperspectral embedded spectral image detection system according to the present invention.

[0013] As shown in the figure: 1. Base, 2. Leg, 3. Foot, 4. Shelf, 5. Motor, 6. Guide rod, 7. Lead screw, 8. Frustum, 9. U-shaped plate, 10. Fill light A, 11. Light sensor, 12. Camera device, 13. Fill light B, 14. Computer, 15. Keyboard, 16. Mouse, 17. Frustum, 18. Scroll wheel, 19. Groove. Detailed Implementation

[0014] The present invention will now be described in further detail with reference to the accompanying drawings.

[0015] Combined with appendix Figures 1-3A hyperspectral embedded spectral image detection system includes a spectral image acquisition unit and a spectral image processing unit, which are connected via a bus. The spectral image acquisition unit includes a base 1, with legs 2 below the base 1 and a U-shaped frame 9 above the base 1. A camera device 12 is located on the top inner side of the U-shaped frame 9, and supplementary lights A10 and B13 are located on both sides of the U-shaped frame 9. A frustum 17 is carved out in the middle of the base 1. A shelf 4 is located in the middle of the legs 2, and a motor 5 is mounted on the shelf 4. The drive shaft of the motor 5 is connected to a lead screw 7, which passes through a fixing plate 8. The end of the lead screw 7 is connected to the bottom of the frustum 17. Guide rods 6 are located on both sides of the lead screw 7 on the fixing plate 8, and the other end of the guide rods 6 is connected to the frustum 8. The image processing unit includes a computer 14, a keyboard 15, and a mouse 16. The computer 14 is connected to the keyboard 15 and mouse 16 via a USB data cable.

[0016] The bottom of the support leg 2 is provided with a foot 3, and the foot 3 is threadedly connected to the support leg 2.

[0017] The base 1 has grooves 19 on both sides, and the bottom of the two side plates of the U-shaped plate 9 is provided with rollers 18. The rollers 18 are arranged in the grooves 19 and move along the grooves 19.

[0018] A light sensor 11 is provided on the top of the U-shaped plate 9 on one side of the hyperspectral sensor 12.

[0019] The fill light A10 and fill light B13 use a wide-spectrum (high-performance halogen lamp, supporting wavelengths of 430~1700nm) light source.

[0020] The computer 14 is equipped with spectral image processing software.

[0021] In its specific implementation, this invention uses a compressed plate to construct a base. A support leg is installed at each of the four corners of the base, with a foot threaded to the bottom of each leg. A shelf is installed between the legs. A groove is installed on each side of the base. A U-shaped frame is installed above the base. Two rollers are installed at the bottom of each side panel of the U-shaped frame, and the rollers are placed in the grooves. A supplementary light is installed facing each other on the side panels of the U-shaped frame. A hyperspectral sensor is installed at the middle of the lower top of the U-shaped frame, and a light sensor is installed next to it. A movable frustum is installed in the middle of the base, with a lead screw connected below it. A guide rod is installed on each side of the lead screw, with the other end of the guide rod connected to a fixed plate. The lead screw passes through the fixed plate and a motor is connected to its end. The motor is installed on the shelf. A computer, mouse, and keyboard are installed on one side of the base. The camera, supplementary light, motor, mouse, and keyboard are connected to the computer via data cables.

[0022] The working principle of this invention is as follows: When product testing is required, the computer is turned on, the spectral image processing system is activated, the product is placed on the platform, the light sensor detects the ambient light intensity in real time, and transmits the monitoring data to the computer. The computer receives the data and adjusts the light intensity of the supplementary light lamps according to the data until the light intensity range required for spectral image acquisition is reached. Commands are issued via mouse or keyboard to acquire spectral images. If the product size is large, the U-shaped frame can be pushed for full acquisition. If the product size is small, the motor can be activated by inputting commands into the computer to raise the platform to a suitable position for spectral image acquisition. The acquired spectral image is converted into point cloud data and transmitted to the computer. The spectral image processing system in the computer begins to process the acquired data and compares it with pre-set data for detection.

[0023] The present invention and its embodiments are described above. This description is not restrictive. The drawings show only one embodiment of the present invention, and the actual structure is not limited thereto. In short, if a person skilled in the art is inspired by this and, without departing from the purpose of the present invention, designs structures and embodiments similar to this technical solution without inventiveness, they shall fall within the scope of protection of the present invention.

Claims

1. A hyperspectral principle embedded spectral image detection system, comprising a spectral image acquisition unit and a spectral image processing unit, characterized in that: The spectral image acquisition unit and the spectral image processing unit are connected via a bus. The spectral image acquisition unit includes a base (1), with legs (2) below the base (1) and a U-shaped frame (9) above the base (1). A hyperspectral sensor (12) is located on the top inner side of the U-shaped frame (9). A supplementary light A (10) and a supplementary light B (13) are located on both sides of the U-shaped frame (9). A frustum (17) is carved out in the middle of the base (1). A shelf (4) is located in the middle of the legs (2). The shelf (4) is equipped with a motor (5). The drive shaft of the motor (5) is connected to a lead screw (7). The lead screw (7) passes through a fixed plate (8). The end of the lead screw (7) is connected to the bottom of the truncated cone (17). The fixed plate (8) is equipped with guide rods (6) on both sides of the lead screw (7). The other end of the guide rods (6) is connected to the truncated cone (8). The spectral image processing unit includes a computer (14), a keyboard (15) and a mouse (16). The computer (14) is connected to the keyboard (15) and the mouse (16) via a USB data cable.

2. The hyperspectral principle embedded spectral image detection system according to claim 1, characterized in that: The bottom of the support leg (2) is provided with a foot (3), and the foot (3) is threadedly connected to the support leg (2).

3. The hyperspectral principle embedded spectral image detection system according to claim 1, characterized in that: The base (1) has grooves (19) on both sides, and the bottom of the two side plates of the U-shaped plate (9) is provided with rollers (18). The rollers (18) are set in the grooves (19) and move along the grooves (19).

4. The hyperspectral principle embedded spectral image detection system according to claim 1, characterized in that: The top of the U-shaped plate (9) has a light sensor (11) on one side of the hyperspectral sensor (12).

5. The hyperspectral principle embedded spectral image detection system according to claim 1, characterized in that: The supplementary lights A (10) and B (13) use a wide-spectrum light source (high-performance halogen lamp, supporting wavelengths of 430~1700nm).

6. The hyperspectral principle embedded spectral image detection system according to claim 1, characterized in that: The computer (14) is equipped with hyperspectral image processing software, and the hyperspectral sensor (12) also supports running the hyperspectral image processing software.

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