Distance adjusting device integrating deep learning and computer vision

Abstract

The utility model relates to the field of distance measurement, in particular to a distance adjusting device integrating deep learning and computer vision, which comprises a moving vehicle, and a control box is fixedly mounted on the left side of the moving vehicle. According to the utility model, the distance measuring mechanism is arranged, the first motor drives the first gear to rotate, the first gear drives the second gear to rotate, the second gear drives the polarization filter to rotate and adjusts the polarization angle, the second motor drives the third gear to rotate, and the third gear drives the toothed plate to move; the toothed plate drives the movable shading cylinder to move, so that the shading area can be increased, the light incident angle is limited through the honeycomb shading cover, stray light entering is reduced, interference of external light to the distance measuring camera can be reduced, and the problems that a distance adjusting device is prone to being interfered by the external light, imaging quality is affected, and distance measuring results are deviated are solved. And misjudgment may occur, so that the deep learning model has a false detection condition.

Description

Technical Field

[0001] This utility model relates to the field of distance measurement, specifically a distance adjustment device that integrates deep learning and computer vision. Background Technology

[0002] A distance adjustment device is a mechanical or electronic device used to adjust the relative distance between two or more components. It is widely used in industries such as industry, automobiles, medical care, and consumer electronics. Its core function is to optimize equipment performance, improve ease of operation, or ensure safety by precisely controlling displacement.

[0003] During the use of the distance adjustment device, the distance between the target object and the imaging device is adjusted through real-time image analysis using computer vision to achieve the best adjustment effect. Furthermore, based on a deep learning model, the accuracy of distance calculation can be improved and interference from the external environment can be reduced.

[0004] However, existing distance adjustment devices are easily affected by external light, which can affect the imaging quality of the camera, leading to deviations in the distance measurement results. Furthermore, they may misjudge shadows as obstacles, resulting in false detections by the deep learning model. Utility Model Content

[0005] To address the shortcomings of existing technologies, distance adjustment devices are susceptible to interference from external light during use, affecting the imaging quality of the camera and causing deviations in distance measurement results. Furthermore, they may misjudge shadows as obstacles, leading to false detections in deep learning models. This invention proposes a distance adjustment device that integrates deep learning and computer vision.

[0006] The technical solution adopted by this utility model to solve its technical problem is: a distance adjustment device integrating deep learning and computer vision, including a mobile vehicle, a control box fixedly installed on the left side of the mobile vehicle, four movable wheels movably installed at the four corners of the bottom of the mobile vehicle, a mechanical claw movably installed on the top of the mobile vehicle, and a distance measuring mechanism installed on the surface of the mechanical claw.

[0007] The ranging mechanism includes a support base, the bottom of which is fixedly connected to the surface of a mechanical claw, a ranging camera fixedly mounted on the top of the support base, a first motor fixedly mounted on the top of the support base, a first gear fixedly connected to the output end of the first motor, a second gear meshing with the surface of the first gear, and a polarizing filter fixedly connected to the inner cavity of the second gear, with the left side of the polarizing filter fitting against the right side of the ranging camera.

[0008] Preferably, both the surface of the first gear and the second gear are movably connected to a protective cover, and the bottom of the protective cover is fixedly connected to the top of the support base.

[0009] Preferably, a fixed light-shielding tube is fixedly connected to the right side of the protective cover, a movable light-shielding tube is slidably connected to the surface of the fixed light-shielding tube, and a honeycomb light-shielding cover is fixedly connected to the right side of the inner cavity of the movable light-shielding tube.

[0010] Preferably, a second motor is fixedly installed on the top of the support base, a third gear is fixedly connected to the output end of the second motor, a toothed plate is meshed with the surface of the third gear, and the top of the toothed plate is fixedly connected to the surface of the movable light-shielding cylinder.

[0011] Preferably, the front and back sides of the inner cavity of the movable light-shielding tube are provided with limiting grooves, and the inner cavity of the limiting groove is slidably connected to a limiting plate, and one side of the limiting plate is fixedly connected to the surface of the fixed light-shielding tube.

[0012] Preferably, a positioning seat is fixedly connected to the top of the support base, and the inner cavity of the positioning seat is slidably connected to the surface of the toothed plate.

[0013] Preferably, the surfaces of the first motor and the second motor are fixedly connected to an isolation cover, the bottom of which is fixedly connected to the top of the support base, and the isolation cover is made of copper.

[0014] The advantages of this utility model are:

[0015] This invention, by setting up a ranging mechanism, uses a first motor to drive a first gear to rotate, which in turn drives a second gear to rotate, which in turn drives a polarizing filter to rotate, adjusting the polarization angle. Simultaneously, the second motor drives a third gear to rotate, which in turn drives a toothed plate to move, which in turn drives a movable light-shielding tube to move. This increases the light-shielding area of ​​the fixed light-shielding tube. The honeycomb light-shielding cover limits the angle of light incidence, reducing stray light entering the lens and minimizing interference from external light on the ranging camera. This solves the problem that distance adjustment devices are easily affected by external light, affecting image quality, causing deviations in ranging results, and potentially misjudging shadows as obstacles, leading to false detections in deep learning models. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of this utility model or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this utility model. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a schematic diagram of the structure of this utility model;

[0018] Figure 2 This is a schematic diagram of the structure of the ranging camera of this utility model;

[0019] Figure 3 This is a schematic diagram of the structure of the support base of this utility model;

[0020] Figure 4 This is a schematic diagram of the structure of the protective cover of this utility model;

[0021] Figure 5 This is a schematic diagram of the structure of the movable light-shielding tube of this utility model;

[0022] Figure 6 This is a schematic diagram of the structure of the fixed light-shielding tube of this utility model.

[0023] In the diagram: 1. Moving vehicle; 2. Distance measuring mechanism; 201. Support base; 202. Protective cover; 203. Distance measuring camera; 204. Moving light shield; 205. Honeycomb light shield; 206. Isolation cover; 207. Positioning base; 208. Polarizing filter; 209. First motor; 210. First gear; 211. Second gear; 212. Second motor; 213. Gear plate; 214. Fixed light shield; 215. Third gear; 216. Limiting groove; 217. Limiting plate; 3. Mechanical claw; 4. Control box; 5. Moving wheels. Detailed Implementation

[0024] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present utility model.

[0025] The following is in conjunction with the appendix Figure 1-6 This application will be described in further detail.

[0026] This application discloses a distance adjustment device that integrates deep learning and computer vision. (Refer to...) Figure 1 , Figure 2 , Figure 3 and Figure 4 A distance adjustment device integrating deep learning and computer vision includes a mobile vehicle 1. A control box 4 is fixedly installed on the left side of the mobile vehicle 1. The four corners of the bottom of the mobile vehicle 1 are movably installed with mobile wheels 5. A mechanical claw 3 is movably installed on the top of the mobile vehicle 1. All the components mentioned above are existing technologies and will not be described in detail here. A distance measuring mechanism 2 is installed on the surface of the mechanical claw 3.

[0027] The ranging mechanism 2 includes a support base 201. The bottom of the support base 201 is fixedly connected to the surface of the mechanical claw 3. A ranging camera 203 is fixedly mounted on the top of the support base 201. A first motor 209 is fixedly mounted on the top of the support base 201. A first gear 210 is fixedly connected to the output end of the first motor 209. A second gear 211 is meshed with the surface of the first gear 210. A polarizing filter 208 is fixedly connected to the inner cavity of the second gear 211. The left side of the polarizing filter 208 is in contact with the right side of the ranging camera 203. Before the ranging camera 203 is used, the first motor 209 is started by an external power supply. The first motor 209 drives the first gear 210 to rotate. The rotation of the first gear 210 drives the second gear 211 to rotate. The rotation of the second gear 211 drives the polarizing filter 208 to rotate. The polarization angle of the polarizing filter 208 can be adjusted as needed to filter light from a specific direction and reduce glare.

[0028] Reference Figure 2 , Figure 3 and Figure 4 The surfaces of the first gear 210 and the second gear 211 are movably connected to protective covers 202. The bottom of the protective cover 202 is fixedly connected to the top of the support base 201. The protective cover 202 protects the surfaces of the first gear 210 and the second gear 211, preventing dust and foreign objects from entering the interior of the first gear 210 and the second gear 211, thereby increasing the service life of the first gear 210 and the second gear 211 and reducing the maintenance frequency of the first gear 210 and the second gear 211.

[0029] Reference Figure 3 , Figure 4 and Figure 5 A fixed light-shielding tube 214 is fixedly connected to the right side of the protective cover 202. A movable light-shielding tube 204 is slidably connected to the surface of the fixed light-shielding tube 214. A honeycomb light-shielding cover 205 is fixedly connected to the right side of the inner cavity of the movable light-shielding tube 204. By setting the fixed light-shielding tube 214, the distance between the ranging camera 203 and the object being photographed is extended, reducing the direct reflection of ambient light onto the surface of the ranging camera 203. At the same time, the fixed light-shielding tube 214 positions the movable light-shielding tube 204, allowing the movable light-shielding tube 204 to slide on the surface of the fixed light-shielding tube 214, thereby further increasing the distance between the ranging camera 203 and the object being photographed and improving the imaging quality of the ranging camera 203.

[0030] Reference Figure 2 , Figure 3 and Figure 5A second motor 212 is fixedly installed on the top of the support base 201. A third gear 215 is fixedly connected to the output end of the second motor 212. A toothed plate 213 is meshed with the surface of the third gear 215. The top of the toothed plate 213 is fixedly connected to the surface of the movable light-shielding cylinder 204. The second motor 212 can drive the third gear 215 to rotate. The rotation of the third gear 215 can drive the toothed plate 213 to move. The movement of the toothed plate 213 can drive the movable light-shielding cylinder 204 to slide on the surface of the fixed light-shielding cylinder 214, thereby improving the stability of the movable light-shielding cylinder 204 during movement and preventing the movable light-shielding cylinder 204 from shifting its position during movement.

[0031] Reference Figure 6 Limiting grooves 216 are provided on the front and back sides of the inner cavity of the movable light-shielding tube 204. A limiting plate 217 is slidably connected to the inner cavity of the limiting groove 216. One side of the limiting plate 217 is fixedly connected to the surface of the fixed light-shielding tube 214. By setting the limiting groove 216, the surface of the limiting plate 217 can slide inside the movable light-shielding tube 204, thereby limiting the movement distance of the movable light-shielding tube 204 and preventing the movable light-shielding tube 204 from moving too far, causing the movable light-shielding tube 204 to detach from the surface of the fixed light-shielding tube 214. This would result in the surface of the movable light-shielding tube 204 lacking effective support. At the same time, the gap between the movable light-shielding tube 204 and the fixed light-shielding tube 214 allows external light to enter, thereby reducing the effectiveness of the fixed light-shielding tube 214.

[0032] Reference Figure 2 , Figure 3 and Figure 5 A positioning seat 207 is fixedly connected to the top of the support base 201. The inner cavity of the positioning seat 207 is slidably connected to the surface of the toothed plate 213. The positioning seat 207 is used to position the toothed plate 213, so that the toothed plate 213 can move horizontally, avoid the position of the toothed plate 213 from shifting during the movement, and improve the meshing stability between the toothed plate 213 and the third gear 215.

[0033] Reference Figure 2 , Figure 3 and Figure 4 An isolation cover 206 is fixedly connected to the surface of the first motor 209 and the second motor 212. The bottom of the isolation cover 206 is fixedly connected to the top of the support base 201. The isolation cover 206 is made of copper. The isolation cover 206 acts as a barrier between the surfaces of the first motor 209 and the second motor 212. The copper isolation cover 206 has excellent conductivity and is suitable for high-frequency interference shielding, so as to avoid the first motor 209 and the second motor 212 from affecting the ranging camera 203 during use.

[0034] Working principle: The distance between the ranging camera 203 and the object is detected. The detected data is transmitted remotely to the terminal and analyzed based on a deep learning model. The analysis results are then transmitted back to the control box 4. The PCL controller inside the control box 4 drives the moving wheel 5 to move, thereby adjusting the distance between the mechanical gripper 3 and the object. This ensures that the mechanical gripper 3 can stably grip the object and avoids situations such as the mechanical gripper 3 missing its grip due to distance deviation. Simultaneously, during the use of the ranging camera 203, the first motor 209 is started by an external power supply. The first motor 209 drives the first gear 210 to rotate, which in turn drives the second gear 211 to rotate. The rotation of the second gear 211 then drives the polarizing filter 208 to rotate. The polarization angle of the polarizing filter 208 is adjusted by rotating the filter to filter light from specific directions and reduce glare. Simultaneously, the second motor 212 is activated by an external power source, driving the third gear 215 to rotate. The rotation of the third gear 215 moves the gear plate 213 to the right, which in turn moves the movable light-shielding tube 204. This increases the light-shielding area of ​​the fixed light-shielding tube 214, extending the distance between the ranging camera 203 and the object being photographed, reducing direct reflection of ambient light into the ranging camera 203. Furthermore, the honeycomb light-shielding cover 205 limits the angle of light incidence, reducing stray light entering the lens. This reduces interference from external light on the ranging camera 203 and improves the image quality during use.

[0035] It should be noted that parts have a lifespan and can be replaced during regular maintenance when they no longer meet performance requirements. Deterioration in performance due to prolonged use of parts is not a design defect of this application.

[0036] The foregoing has shown and described the basic principles, main features, and advantages of this utility model. Those skilled in the art should understand that this utility model is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of this utility model. Various changes and modifications can be made to this utility model without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed utility model.

Claims

1. A distance adjustment device fusing deep learning and computer vision, comprising a mobile vehicle (1), characterized in that: The left side of the mobile vehicle (1) is fixedly installed with a control box (4), the four corners of the bottom of the mobile vehicle (1) are movably installed with mobile wheels (5), and the top of the mobile vehicle (1) is movably installed with a mechanical claw (3), and the surface of the mechanical claw (3) is installed with a distance measuring mechanism (2). The distance measuring mechanism (2) comprises a supporting seat (201), the bottom of the supporting seat (201) is fixedly connected with the surface of the mechanical claw (3), the top of the supporting seat (201) is fixedly installed with a distance measuring camera (203), the top of the supporting seat (201) is fixedly installed with a first motor (209), the output end of the first motor (209) is fixedly connected with a first gear (210), the surface of the first gear (210) is engagedly connected with a second gear (211), the inner cavity of the second gear (211) is fixedly connected with a polarizing filter (208), and the left side of the polarizing filter (208) is attached to the right side of the distance measuring camera (203).

2. The distance adjustment device fusing deep learning and computer vision according to claim 1, wherein: The surfaces of the first gear (210) and the second gear (211) are movably connected with a protective cover (202), and the bottom of the protective cover (202) is fixedly connected with the top of the supporting seat (201).

3. The distance adjustment device fusing deep learning and computer vision according to claim 2, characterized in that: The right side of the protective cover (202) is fixedly connected with a fixed light-shielding cylinder (214), the surface of the fixed light-shielding cylinder (214) is slidably connected with a movable light-shielding cylinder (204), and the right side of the inner cavity of the movable light-shielding cylinder (204) is fixedly connected with a honeycomb light-shielding cover (205).

4. The distance adjustment device fusing deep learning and computer vision according to claim 1, wherein: The top of the supporting seat (201) is fixedly installed with a second motor (212), the output end of the second motor (212) is fixedly connected with a third gear (215), the surface of the third gear (215) is engagedly connected with a toothed plate (213), and the top of the toothed plate (213) is fixedly connected with the surface of the movable light-shielding cylinder (204).

5. The distance adjustment device fusing deep learning and computer vision according to claim 4, characterized in that: The front side and the back side of the inner cavity of the movable light-shielding cylinder (204) are both provided with a limiting groove (216), the inner cavity of the limiting groove (216) is slidably connected with a limiting plate (217), and one side of the limiting plate (217) is fixedly connected with the surface of the fixed light-shielding cylinder (214).

6. The distance adjustment device fusing deep learning and computer vision according to claim 1, wherein: The top of the supporting seat (201) is fixedly connected with a positioning seat (207), and the inner cavity of the positioning seat (207) is slidably connected with the surface of the toothed plate (213).

7. The distance adjustment device fusing deep learning and computer vision according to claim 4, characterized in that: The surfaces of the first motor (209) and the second motor (212) are fixedly connected with an isolation cover (206), the bottom of the isolation cover (206) is fixedly connected with the top of the supporting seat (201), and the isolation cover (206) is made of copper.

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