Image information acquisition device based on artificial intelligence

Abstract

The invention relates to the technical field of image information acquisition, in particular to an artificial intelligence-based image information acquisition device which comprises a base, a holder, an image sensor, a transparent sleeve and a top cover, an extrusion groove is formed in the bottom end of the top cover, and a plurality of air bags are distributed on the inner side wall of the extrusion groove; the bottom end of the extrusion assembly is fixedly connected with a plurality of elastic assemblies; the bottom of the top cover is fixedly connected with a cleaning ring, and the cleaning ring sleeves the surface of the transparent sleeve; the air bags communicate with a plurality of transition channels arranged in the top cover, the transition channels communicate with cleaning channels, and an annular guiding airflow groove is formed in the bottom end of the cleaning ring. The air bag is periodically extruded through the extrusion assembly, so that air in the air bag is guided into the guide airflow groove through the transition channel and the cleaning channel to form annular airflow, the surface of the transparent sleeve is blown and cleaned, and impurities such as leaves and dew attached to the surface of the transparent sleeve in the jungle environment are effectively removed.

Description

Technical Field

[0001] This invention relates to the field of image information acquisition technology, and more specifically to an image information acquisition device based on artificial intelligence. Background Technology

[0002] Artificial intelligence-driven image acquisition technology is a cutting-edge technology that integrates intelligent sensing modules and image sensors with machine learning algorithms to achieve automated acquisition, real-time preprocessing, and feature extraction of image data from target scenes. With its efficient data acquisition capabilities and precise analytical potential, it has been widely applied in multiple fields. In the field of ecological environment monitoring, this technology demonstrates unique value in forest vegetation monitoring, and is widely used in scenarios such as forest vegetation coverage statistics, rare plant resource location, vegetation growth status tracking, early warning of pests and diseases, and investigation of forest fire hazards. Through continuously collected vegetation image data, it provides reliable data support for forestry resource management and ecological protection decision-making.

[0003] However, when such image acquisition devices (such as the UVL7's infrared camera) operate in complex jungle environments, their lenses are highly susceptible to the adhesion of debris such as leaves, soil, dew, and cobwebs. This is primarily due to the unique characteristics of the jungle environment: firstly, the dense vegetation in jungles means that the equipment can easily come into direct contact with branches and leaves during movement or stationary acquisition, leading to leaf debris, pollen, and other contaminants adhering to the lens surface; secondly, the high humidity in jungles causes dew and mist to easily form water droplets on the lens elements. These lens contamination issues can result in blurred or obstructed images, severely impacting image data quality and consequently reducing the accuracy and reliability of subsequent AI algorithm analysis. Therefore, this invention proposes an image information acquisition device based on artificial intelligence to solve the above problems. Summary of the Invention

[0004] To address the aforementioned issues, this invention provides an AI-based image information acquisition device for collecting ecological image information in complex jungle environments. By automatically cleaning the surface of the transparent sleeve outside the lens, removing debris such as leaves, soil, and dew, the device reduces the likelihood of blurred or obstructed images, ensuring image data quality and providing reliable support for subsequent precise AI algorithm analysis and forestry resource management and ecological protection decision-making.

[0005] To achieve the above objectives, the technical solution of the present invention is as follows: an image information acquisition device based on artificial intelligence, comprising a base, a gimbal, and an image sensor for acquiring image information using artificial intelligence, wherein the gimbal is mounted on the top of the base, the image sensor is fixedly connected to the gimbal, a transparent sleeve for surrounding the image sensor is mounted on the top of the base, and a top cover is mounted on the top of the transparent sleeve. The top cover has an annular extrusion groove at the bottom. Several air bladders are evenly distributed along the circumferential direction of the extrusion groove on the inner sidewall of the extrusion groove. An extrusion assembly for periodically extruding the corresponding air bladder is slidably fitted inside the extrusion groove. The bottom end of the extrusion assembly extends to the bottom of the top cover and several elastic components are fixedly connected to the bottom end of the extrusion assembly. The bottom ends of the elastic components are all fixedly connected to the top of the image sensor. The elastic component is used to drive the extrusion component to slide along the extrusion groove when the image sensor moves; A cleaning ring is fixedly connected to the bottom of the top cover, and the cleaning ring is sleeved on the surface of the transparent sleeve; each airbag is connected to several transition channels set inside the top cover, and each transition channel is connected to a cleaning channel set inside the cleaning ring, and the cleaning channels are evenly distributed along the circumference of the cleaning ring; the bottom end of the cleaning ring has an annular guide airflow groove along the circumference of the cleaning ring, and the cleaning channels are all connected to the guide airflow groove. The airflow guide groove is used to allow airflow to flow from the top of the transparent sleeve, along the surface of the transparent sleeve, to the base.

[0006] The technical principle of the above solution is as follows: A transparent sleeve provides initial protection for the image sensor without affecting its image acquisition. Then, using the movement of the image sensor as a power source, combined with mechanical transmission and airflow guidance design, the surface of the transparent sleeve is automatically and periodically cleaned. When the pan-tilt unit moves the image sensor to adjust its angle (such as turning or tilting) to adapt to the multi-directional acquisition needs of the jungle environment, the rotation of the image sensor is transmitted to the compression component through an elastic component, driving the compression component to slide along the annular compression groove of the top cover. Because the airbags are evenly distributed along the circumference of the compression groove, the sliding compression component periodically compresses each airbag, causing the gas inside the airbag to form a directional airflow. The pressurized airflow is introduced into the cleaning channel inside the cleaning ring through the transition channel inside the top cover. The cleaning channel is evenly distributed along the circumference of the cleaning ring to ensure that the airflow can be evenly distributed. Finally, the airflow merges into the annular guide airflow groove at the bottom of the cleaning ring. Guided by the structure of the guide airflow groove, it forms an annular covering airflow flowing from the top of the transparent sleeve to the base. By blowing the surface of the transparent sleeve with the annular airflow, it can efficiently remove attached leaves, dew, cobwebs and other debris.

[0007] The above-mentioned solution offers the following advantages: This solution uses the angle adjustment motion of the image sensor as the power source to drive the airbag compression and airflow cleaning. Its structure is simple, compact, energy-efficient, and adaptable to the operational needs of complex jungle environments. The annular guide airflow channel forms a fully covered downward airflow, quickly removing leaves, dew, cobwebs, and other debris from the transparent sleeve surface. The cleaning range is uniform and without blind spots, effectively reducing blurring and obstruction in the acquired images. The isolation design between the transparent sleeve and the image sensor lens protects the lens and prevents scratches or damage during cleaning, ensuring stable equipment operation. Maintaining the transparency of the sleeve ensures the clarity and integrity of the acquired image data, providing reliable data support for subsequent accurate AI algorithm analysis, thereby improving the scientific nature of forestry resource management and ecological protection decisions.

[0008] Furthermore, the extrusion assembly includes an extrusion ring, which slides in conjunction with the extrusion groove, and several arc-shaped protrusions are fixedly connected to the inner side of the extrusion ring; the airbags are all located within the movement trajectory of the arc-shaped protrusions.

[0009] Beneficial effects: The extrusion ring and the annular extrusion groove slide smoothly and the arc-shaped protrusion is precisely matched with the airbag position. When extruding, it fits the surface of the airbag, so that the airbag is subjected to uniform force and exhaust is sufficient, thereby forming a stable and sufficiently pressurized guide airflow, which improves the efficiency and effect of cleaning debris from the surface of the transparent sleeve.

[0010] Furthermore, the diameter of the transition channels is larger than that of the cleaning channels.

[0011] Beneficial effects: The diameter of the transition channel is larger than that of the cleaning channel. According to the principles of fluid mechanics, this can significantly increase the flow rate of gas through the cleaning channel, forming a high-speed directional airflow. This enhances the flushing force on the surface of the transparent sleeve, removing dew, fine dust, and other debris, further optimizing the cleaning effect and ensuring the light transmittance of the transparent sleeve.

[0012] Furthermore, the outer edge of the top of the base has a beveled structure.

[0013] Beneficial effects: The beveled base structure guides the cleaned debris to slide smoothly, preventing it from accumulating at the edges and reducing the risk of the accumulated debris re-contaminating the transparent sleeve. This ensures the continuous and effective operation of the cleaning system while keeping the surrounding environment of the equipment clean.

[0014] Furthermore, the width of the guide airflow grooves is greater than the diameter of the cleaning channel.

[0015] Beneficial effects: The width of the guide airflow groove is greater than the diameter of the cleaning channel, which allows the airflow from multiple cleaning channels to converge and form a concentrated constraint effect, further increasing the airflow velocity and strengthening the directional scouring force of the airflow. This can more efficiently remove stubborn debris such as fine dust and residual dew attached to the surface of the transparent sleeve, significantly optimizing the cleaning effect and continuously ensuring the clarity of image acquisition.

[0016] Furthermore, the distance between the top of the guide airflow groove and the surface of the transparent sleeve is greater than the distance between the bottom of the guide airflow groove and the surface of the transparent sleeve.

[0017] Beneficial effects: The guide airflow groove has a tapered structure that is wide at the top and narrow at the bottom, which can accurately guide and constrain the airflow after it converges, so that the airflow direction closely fits the surface of the transparent sleeve, reducing airflow diffusion and loss, strengthening the direct flushing effect of the airflow on the sleeve surface, and further improving the targeting and efficiency of cleaning.

[0018] Furthermore, an auxiliary component is installed inside the top cover; the auxiliary component is used to collect rainwater from the open air, and the collected rainwater is applied to the surface of the transparent sleeve along with the airflow in the cleaning channel.

[0019] Beneficial effects: The auxiliary component collects rainwater from the open air and works in conjunction with the airflow in the cleaning channel to create a gas-liquid mixed flushing effect, which significantly enhances the cleaning power of stubborn dirt, dust and other debris on the surface of the transparent sleeve, resulting in a more thorough cleaning; rainwater is a natural cleaning medium, so there is no need to add any additional cleaning agents, which is energy-saving and environmentally friendly and suitable for jungle field operation scenarios, continuously ensuring the sleeve's light transmittance and image acquisition quality.

[0020] Furthermore, the auxiliary components include a water collection tank at the top of the top cover, and a water storage cavity communicating with the water collection tank inside the top cover; the water storage cavity is connected to several guide pipes disposed inside the top cover, each guide pipe being connected to a suction channel communicating with a cleaning channel, the suction channel corresponding to the cleaning channel one-to-one, and the diameter of the suction channel being smaller than the diameter of the guide pipe; a one-way component is provided at the connection between the water collection tank and the water storage cavity to allow fluid to flow from the water collection tank to the water storage cavity.

[0021] Beneficial effects: The water collection tank and storage chamber work together to efficiently collect and store rainwater from the outdoors. The one-way component prevents rainwater backflow and ensures water storage stability. The suction channel has a smaller diameter than the guide pipe. With the help of the negative pressure effect created by the airflow in the cleaning channel, it can automatically draw rainwater from the storage chamber and mix it with the airflow to form a gas-liquid synergistic flushing effect, which greatly improves the cleaning ability of stubborn stains. The compact structure requires no additional power, is energy-saving and environmentally friendly, and is perfectly adapted to jungle and wilderness scenarios without external water sources. It also continuously ensures the light transmittance of the transparent sleeve and the quality of image acquisition.

[0022] Furthermore, the diameter of the suction channels is smaller than the diameter of the cleaning channels.

[0023] Beneficial effects: The diameter of the suction channel is smaller than that of the cleaning channel, which can enhance the negative pressure effect formed by the high-speed airflow in the cleaning channel, improve the suction force and efficiency of rainwater in the water storage chamber, make the gas-liquid mixture more complete, and the flushing force stronger, thus removing stubborn stains from the surface of the transparent sleeve.

[0024] Furthermore, a filter plate is installed inside the water collection tank.

[0025] Beneficial effects: The filter plate can effectively isolate leaves, branches, large particles of mud and sand brought into the water collection tank by rainwater, reducing the amount of debris entering the water storage chamber and clogging the guide pipe, suction channel or cleaning channel, and ensuring the smooth operation of the auxiliary component gas-liquid mixing flushing system; at the same time, it prevents impurities from acting on the surface of the transparent sleeve with rainwater, causing secondary pollution or scratches, continuously ensuring the cleaning effect and the light transmittance of the sleeve, and is suitable for long-term stable operation in complex jungle and field environments.

[0026] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0027] Figure 1 This is an overall isometric view of an embodiment of the image information acquisition device based on artificial intelligence of the present invention; Figure 2 This is a schematic diagram of the inside of the transparent sleeve in an embodiment of the image information acquisition device based on artificial intelligence of the present invention; Figure 3 This is a axial sectional view of the top cover of an embodiment of the image information acquisition device based on artificial intelligence of the present invention; Figure 4 This is a side sectional view of the top cover and the extrusion assembly of an embodiment of the image information acquisition device based on artificial intelligence of the present invention; Figure 5 for Figure 4 Enlarged view of section A; Figure 6 This is a schematic diagram of the compression ring and airbag in an embodiment of the image information acquisition device based on artificial intelligence of the present invention.

[0028] The reference numerals in the accompanying drawings include: 1. Base; 2. Transparent sleeve; 3. Top cover; 301. Water collection tank; 302. Water storage chamber; 303. Squeezing groove; 304. Guide pipe; 305. Airbag; 306. Transition channel; 307. Squeezing ring; 4. Filter plate; 5. Cleaning ring; 501. Suction channel; 502. Cleaning channel; 6. Gimbal; 7. Image sensor; 8. Elastic component. Detailed Implementation

[0029] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0030] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0031] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0032] The following detailed description illustrates the specific implementation method: Example 1:

[0033] like Figure 1 and Figure 2 As shown, an image information acquisition device based on artificial intelligence includes a base 1, a gimbal 6, and an image sensor 7 for acquiring image information for artificial intelligence. The gimbal 6 is mounted on the top of the base 1, and the image sensor 7 is screwed onto the gimbal 6. The gimbal 6 is preferably an industrial-grade high-precision motorized gimbal 6 (e.g., the PT300 series, which features 360° continuous horizontal rotation and -90° to 90° pitch adjustment, with an IP67 waterproof and dustproof rating, suitable for complex outdoor environments such as humid and dusty jungles). The image sensor 7 is preferably a back-illuminated CMOS image sensor 7 (e.g., the IMX586 model), which quickly captures detailed features such as the morphology and growth status of vegetation leaves. The acquired raw image data can be directly adapted to subsequent AI vegetation analysis, pest and disease identification, and other algorithms, providing high-quality data input for ecological environment monitoring.

[0034] The unique feature of this design is that a transparent sleeve 2, which surrounds the image sensor 7, is glued to the top of the base 1, and a top cover 3 is glued to the top of the transparent sleeve 2. The transparent sleeve 2 is preferably made of high-transmittance polycarbonate material (transmittance ≥95%). Together with the top cover 3, this physically isolates the image sensor 7 from the outside environment, preventing debris such as leaves, soil, dew, and spider webs from directly contacting the lens of the image sensor 7 and causing scratches or contamination. This also ensures light penetration so as not to affect the acquisition of high-definition images.

[0035] For cleaning transparent sleeve 2, such as Figure 3 As shown, this design also includes an annular extrusion groove 303 at the bottom of the top cover 3, with several airbags 305 evenly distributed along the circumferential direction of the inner wall of the extrusion groove 303; simultaneously, an extrusion ring 307 is slidably fitted inside the extrusion groove 303, such as... Figure 6 As shown, the inner side of the compression ring 307 is integrally formed with several arc-shaped protrusions, and the airbags 305 are all located within the movement trajectory of the arc-shaped protrusions. Furthermore, the bottom end of the compression ring 307 extends to below the bottom end of the top cover 3 and is fitted with several elastic components 8, the bottom ends of which are all mounted on the top of the image sensor 7. The elastic components 8 can preferably be either springs or elastic ropes. When the image sensor 7 rotates horizontally with the gimbal 6, the elastic components 8 can use tension to pull the compression ring 307 to slide synchronously along the annular compression groove 303, allowing the arc-shaped protrusions to precisely compress the corresponding airbags 305. When the image sensor 7 is tilted, the elastic components 8 can stretch or contract to adapt to the angle change, avoiding mechanical interference with the tilt movement and ensuring the flexibility of the image sensor 7 in multi-dimensional acquisition operations.

[0036] like Figure 1 and Figure 4 As shown, a cleaning ring 5 is screwed to the bottom of the top cover 3, and the cleaning ring 5 is fitted onto the surface of the transparent sleeve 2. Figure 5 As shown, each airbag 305 is connected to a plurality of transition channels 306 disposed inside the top cover 3. Each transition channel 306 is connected to a cleaning channel 502 disposed inside the cleaning ring 5, and the cleaning channels 502 are evenly distributed along the circumference of the cleaning ring 5. An annular guide airflow groove is opened at the bottom end of the cleaning ring 5 along the circumferential direction of the cleaning ring 5, and the cleaning channels 502 are all connected to the guide airflow groove. In this system, the diameter of the transition channel 306 is larger than that of the cleaning channel 502. According to the principles of fluid mechanics, the diameter difference between the transition channel 306 and the cleaning channel 502 can create a Venturi effect, which significantly increases the flow velocity of the gas discharged from the airbag 305 when it flows through the cleaning channel 502. The width of the guide airflow groove is larger than that of the cleaning channel 502, which allows multiple high-speed airflows to converge and form a concentrated constraint, further enhancing the kinetic energy and directionality of the airflow. This allows the airflow to be ejected from the guide airflow groove at a higher speed and closely adhere to the surface of the transparent sleeve 2, enhancing the ability to wash away and remove debris such as leaf debris, fine dust, and attached dew, improving cleaning efficiency and effect, and ensuring that the transparent sleeve 2 maintains high light transmittance. Furthermore, the distance between the top of the guide airflow groove and the surface of the transparent sleeve 2 is greater than the distance between the bottom of the guide airflow groove and the surface of the transparent sleeve 2, so that the guide airflow groove forms a narrow-mouth structure with a wide top and a narrow bottom. This can form a precise guiding constraint on the high-speed airflow after converging, forcing the airflow direction to move closer to and tightly fit the surface of the transparent sleeve 2, effectively reducing airflow diffusion and loss, and allowing the scouring force of the airflow to directly act on the debris on the sleeve surface.

[0037] Secondly, the outer edge of the top of the base 1 is beveled, which guides the cleaned debris to slide down smoothly and avoids the debris from accumulating at the edge.

[0038] The specific implementation process is as follows: In the jungle vegetation monitoring scenario, the base 1 is first fixed to the preset monitoring point (e.g., by bolts). The base 1 is placed against the ground or a bracket to achieve stable support, ensuring that the transparent sleeve 2 is unobstructed and aligned with the vegetation area to be monitored. During operation, the pan-tilt unit 6 drives the image sensor 7 to carry out multi-dimensional acquisition operations. For example, when monitoring a certain area of ​​trees, the pan-tilt unit 6 drives the image sensor 7 to rotate horizontally by 30°. During this process, the image sensor 7 pulls the compression ring 307 to slide synchronously along the annular compression groove 303 of the top cover 3 through the elastic component 8. The arc-shaped protrusion on the inner side of the compression ring 307 precisely compresses the airbag 305 within the sliding trajectory.

[0039] After being compressed, the airbag 305 releases gas, which first flows through the transition channel 306 inside the top cover 3. The difference in diameter between the transition channel 306 and the cleaning channel 502 creates a Venturi effect, significantly increasing the gas velocity. The high-speed airflow then enters the cleaning channel 502 inside the cleaning ring 5. When multiple airflows converge into the guide airflow groove, they are tightly adhered to the surface of the transparent sleeve 2 under the constraint of the groove's tapering structure, and are swept at high speed from the top towards the base 1, removing leaf debris, dew, and other impurities from the sleeve surface. When monitoring low shrubs is required, the pan-tilt unit 6 drives the image sensor 7 to adjust its pitch to -45°. The elastic component 8 adapts to the angle change through its own stretching, without interfering with the pitch movement, ensuring smooth data acquisition. The cleaned debris slides smoothly off under the guidance of the beveled structure of the base 1, preventing accumulation.

[0040] In case of rain, the top cover 3 collects rainwater in the water collection trough 301 and introduces it into the water storage chamber 302 through the one-way component. The high-speed airflow in the cleaning channel 502 forms a negative pressure at the suction channel 501, automatically sucking up the rainwater and mixing it with the airflow to perform gas-liquid synergistic flushing of the stubborn soil on the sleeve surface, continuously ensuring the light transmittance of the sleeve, and ensuring that the vegetation images collected by the image sensor 7 are clear and complete, providing high-quality data for subsequent AI pest and disease identification algorithms.

[0041] Example 2:

[0042] The difference from Embodiment 1 is that an auxiliary component is provided inside the top cover 3. The auxiliary component is used to collect rainwater from the open air. The collected rainwater is applied to the surface of the transparent sleeve 2 along with the airflow in the cleaning channel 502. This further optimizes the cleaning structure in this solution and solves the problem in Embodiment 1 where a single airflow cannot thoroughly clean stubborn stains (such as dried mud, tightly adhered dust, and residual secretions from branches and leaves) on the surface of the transparent sleeve 2. For example, in complex jungle environments, stubborn pollutants such as mud stains and films formed by dried plant sap after rainwater washing are difficult to completely remove with the scouring force of a single airflow. Long-term accumulation may lead to a decrease in the light transmittance of the sleeve and affect the image acquisition accuracy.

[0043] Specifically, such as Figure 1 and Figure 3 As shown, the auxiliary components include a water collection tank 301 located at the top of the top cover 3, a filter plate 4 screwed into the water collection tank 301, and a water storage cavity 302 communicating with the water collection tank 301 inside the top cover 3; the water storage cavity 302 is connected to several guide pipes 304 disposed inside the top cover 3, such as... Figure 5 As shown, each of the guide pipes 304 is connected to a suction channel 501 that communicates with the cleaning channel 502. The suction channel 501 and the cleaning channel 502 correspond one-to-one, and the diameter of each suction channel 501 is smaller than the diameter of the guide pipe 304. A one-way component is provided at the connection between the water collection tank 301 and the water storage chamber 302 to allow fluid to flow from the water collection tank 301 to the water storage chamber 302. The one-way component is preferably a one-way valve. Furthermore, the diameter of each suction channel 501 is smaller than the diameter of the cleaning channel 502.

[0044] The specific implementation process is as follows: In the jungle field monitoring scenario, when encountering rainy weather, the top water collection trough 301 of the open-air roof 3 becomes a natural collection carrier for rainwater. After the rainwater falls naturally into the water collection trough 301, it is first filtered by the filter plate 4 in the trough to remove impurities such as leaves, branches, and large particles of mud and sand, so as to avoid subsequent pipeline blockage. Under the action of gravity, the filtered rainwater pushes open the one-way valve (one-way component) at the connection between the water collection trough 301 and the water storage chamber 302, and flows smoothly into the water storage chamber 302 for storage. The one-way valve also prevents the rainwater in the water storage chamber 302 from flowing back to the water collection trough 301.

[0045] When conducting normal vegetation monitoring, such as when it is necessary to acquire images of shrub areas with residual mud after being washed by rain, the pan-tilt unit 6 drives the image sensor 7 to rotate horizontally by 60°. The elastic component 8 pulls the compression ring 307 to slide and compress the airbag 305. The gas discharged from the airbag 305 flows at high speed along the transition channel 306 and the cleaning channel 502. Since the diameter of the suction channel 501 is smaller than the diameter of the guide pipe 304 and the cleaning channel 502, the high-speed airflow in the cleaning channel 502 creates a strong negative pressure effect at the interface of the suction channel 501 (based on Bernoulli's principle). This draws the rainwater stored in the water storage chamber 302 into the cleaning channel 502 through the guide pipe 304 and the suction channel 501, where it mixes thoroughly with the airflow to form a gas-liquid mixture. Under the constraint of the constricted structure of the guide airflow groove, the gas-liquid mixture flows tightly against the surface of the transparent sleeve 2, rushing at high speed from the top to the base 1. The wetting and dissolving effect of the rainwater quickly softens stubborn stains such as dried mud and plant sap residue on the surface of the transparent sleeve 2, while the high-speed airflow further removes the softened stains completely. The cleaned stains slide down under the guidance of the beveled structure of the base 1, avoiding accumulation and pollution. This utilizes the natural rainwater resources of the forest, solving the problem of incomplete cleaning of stubborn stains by a single airflow, and continuously ensuring the high light transmittance of the transparent sleeve 2. This ensures that the vegetation details (such as leaf texture and pest spots) captured by the image sensor 7 are clearly distinguishable, providing more accurate data support for subsequent AI ecological analysis algorithms.

[0046] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. An image information acquisition device based on artificial intelligence, comprising a base (1), a gimbal (6), and an image sensor (7) for acquiring image information using artificial intelligence, wherein the gimbal (6) is mounted on the top of the base (1), and the image sensor (7) is fixedly connected to the gimbal (6), characterized in that, The top of the base (1) is fitted with a transparent sleeve (2) for surrounding the image sensor (7), and the top of the transparent sleeve (2) is fitted with a top cover (3). The top cover (3) has an annular extrusion groove (303) at the bottom. Several airbags (305) are evenly distributed along the circumferential direction of the extrusion groove (303) on the inner sidewall of the extrusion groove (303). An extrusion assembly for periodically extruding the corresponding airbag (305) is slidably fitted inside the extrusion groove (303). The bottom end of the extrusion assembly extends to the bottom of the top cover (3), and several elastic components (8) are fixedly connected to the bottom end of the extrusion assembly. The bottom ends of the elastic components (8) are all fixedly connected to the top of the image sensor (7). The elastic component (8) is used to drive the extrusion component to slide along the extrusion groove (303) when the image sensor (7) moves; A cleaning ring (5) is fixedly connected to the bottom of the top cover (3), and the cleaning ring (5) is sleeved on the surface of the transparent sleeve (2); the airbags (305) are all connected to a number of transition channels (306) set inside the top cover (3), and the transition channels (306) are all connected to cleaning channels (502) set inside the cleaning ring (5), and the cleaning channels (502) are evenly distributed along the circumference of the cleaning ring (5); the bottom end of the cleaning ring (5) has an annular guide airflow groove along the circumferential direction of the cleaning ring (5), and the cleaning channels (502) are all connected to the guide airflow groove; The airflow guide groove is used to allow airflow to flow from the top of the transparent sleeve (2) along the surface of the transparent sleeve (2) to the base (1).

2. The image information acquisition device based on artificial intelligence according to claim 1, characterized in that, The extrusion assembly includes an extrusion ring (307), which is slidably engaged with an extrusion groove (303). Several arc-shaped protrusions are fixedly connected to the inner side of the extrusion ring (307); the airbags (305) are all located within the movement trajectory of the arc-shaped protrusions.

3. The image information acquisition device based on artificial intelligence according to claim 2, characterized in that, The diameter of the transition channel (306) is larger than that of the cleaning channel (502).

4. The image information acquisition device based on artificial intelligence according to claim 3, characterized in that, The outer edge of the top of the base (1) is a beveled structure.

5. The image information acquisition device based on artificial intelligence according to claim 4, characterized in that, The width of the airflow guide slots is greater than the diameter of the cleaning channel (502).

6. The image information acquisition device based on artificial intelligence according to claim 5, characterized in that, The distance between the top of the guide airflow groove and the surface of the transparent sleeve (2) is greater than the distance between the bottom of the guide airflow groove and the surface of the transparent sleeve (2).

7. The image information acquisition device based on artificial intelligence according to claim 6, characterized in that, The top cover (3) is equipped with an auxiliary component; the auxiliary component is used to collect rainwater from the open air and the collected rainwater is applied to the surface of the transparent sleeve (2) along with the airflow in the cleaning channel (502).

8. The image information acquisition device based on artificial intelligence according to claim 7, characterized in that, The auxiliary components include a water collection tank (301) opening at the top of the top cover (3), and a water storage chamber (302) communicating with the water collection tank (301) inside the top cover (3); the water storage chamber (302) is connected to several guide pipes (304) arranged inside the top cover (3), and each guide pipe (304) is connected to a suction channel (501) communicating with the cleaning channel (502). The suction channel (501) corresponds one-to-one with the cleaning channel (502), and the diameter of the suction channel (501) is smaller than the diameter of the guide pipe (304); a one-way component is provided at the connection between the water collection tank (301) and the water storage chamber (302) to allow fluid to flow from the water collection tank (301) to the water storage chamber (302).

9. The image information acquisition device based on artificial intelligence according to claim 8, characterized in that, The diameter of the suction channel (501) is smaller than the diameter of the cleaning channel (502).

10. The image information acquisition device based on artificial intelligence according to claim 9, characterized in that, A filter plate (4) is installed inside the water collection tank (301).

Images