Airtightness detection method and device based on diving cover

Abstract

The present invention provides an airtightness detection method based on a diving cover. A transparent diving cover to be detected is placed on a detection table and covered by a sealed cover to ensure the airtightness of the detection environment. A light source mechanism is started to illuminate the transparent diving cover to be detected, and an image shooting mechanism captures an image of the irradiated area. Brightness data is extracted from the captured image, and a first extreme value screening, elimination and first average value calculation are performed to form a first brightness threshold range. By comparing the first extreme value with the first brightness threshold range, it is determined whether the transparent diving cover to be detected has an airtightness problem. If a problem is found, a signal indicating that an airtightness problem exists is generated. Through precise image brightness extraction and analysis, fine cracks and bubbles that are difficult to find by traditional detection methods can be detected, which greatly improves the accuracy and reliability of the detection.

Description

Technical Field

[0001] The present invention relates to the technical field of diving covers, and in particular to an air tightness detection method and device based on a diving cover. Background Art

[0002] Transparent diving covers are widely used in the diving field because they provide a wide field of view, allowing divers to observe the surrounding environment and marine life more clearly.

[0003] In the process of manufacturing transparent diving covers, it is necessary to select durable, pressure-resistant, UV-resistant and scratch-resistant transparent polymers, such as polycarbonate or acrylic, and heat the selected transparent polymer material to a molten state, inject it into the mold, and cool it to shape. The injection molding process requires control of temperature and pressure to ensure the transparency and surface quality of the finished product.

[0004] After quality inspection, the suit can be assembled to form a complete diving suit. During the quality inspection, the transparent diving cover needs to be tested for optical, light transmittance, and pressure resistance, and then the transparent diving cover needs to be manually inspected for cracks by human eyes to avoid cracks in the transparent diving cover during the manufacturing process. During the manual inspection of the transparent diving cover, the following problems exist:

[0005] 1. Due to the transparent material of the transparent diving cover, it is difficult for the human eye to detect some tiny cracks or fissures. Once it is used and repeatedly dives, the cracks are easily damaged due to the pressure of the dive, which in turn causes airtightness problems.

[0006] 2. The existing method of manual air tightness detection is to inject water. For some transparent diving covers with small cracks inside, simply injecting water for watertightness testing cannot ensure that the transparent diving covers will not leak during use, because very small cracks or bubbles will not be detected immediately, but with the number of uses and the diving pressure, it is very easy to cause water seepage here, which in turn affects the life safety of the user.

[0007] 3. Another detection method is to check by injecting gas. For transparent diving covers with cracks and bubbles inside, there will be no leakage problem. However, the cracks and bubbles inside will still cause airtightness problems during use.

[0008] 4. Larger internal cracks can be easily found by inspectors under light, but if there are small cracks inside, it is difficult for inspectors to find them with the naked eye under light, which affects the subsequent use of the diving mask. Summary of the invention

[0009] Based on this, it is necessary to propose an airtightness detection method based on a diving mask to address the above problems.

[0010] A method for detecting air tightness based on a diving cover is used for detecting small cracks and bubbles that are difficult to detect during the processing of the diving cover. The detection equipment includes a detection platform, an image shooting mechanism arranged on the detection platform, a sealed cover arranged on the detection platform, and a light source mechanism arranged in the sealed cover. The method for detecting air tightness based on the diving cover includes:

[0011] Placing the transparent diving cover to be tested on the testing table so that the transparent diving cover to be tested covers the image capturing mechanism;

[0012] Closing the airtight cover so that the transparent diving cover to be tested is inside the airtight cover;

[0013] The light source mechanism irradiates the transparent diving cover to be inspected, and the image shooting mechanism shoots the irradiated area of ​​the transparent diving cover to obtain an image of the irradiated area;

[0014] Performing brightness extraction on the image of the irradiated area to obtain an extracted brightness image;

[0015] Acquire a first brightness data set of the extracted brightness image, and select a first extreme value from the first brightness data set;

[0016] A set excluding the first extreme value from the first brightness data set is recorded as a first brightness set, and an average value of the first brightness set is calculated to obtain a first average value;

[0017] Obtaining a first brightness threshold range according to the first average value;

[0018] The first extreme value is compared with the first brightness threshold range, and if the first extreme value is not within the first brightness threshold range, a signal of airtightness problem is generated.

[0019] In at least one embodiment of the present application, the method further includes:

[0020] If the first extreme value is within the first brightness threshold range, a reshoot signal is generated, and the reshoot signal is sent to the image capturing mechanism to control the image capturing mechanism to move to a reshoot position;

[0021] The image shooting mechanism shoots the irradiated area of ​​the transparent diving cover from the reshoot position to obtain a reshoot image, and performs brightness extraction on the reshoot image to obtain an extracted reshoot brightness image;

[0022] Acquire a second brightness data set of the extracted retaken brightness image, and filter out a second extreme value from the second brightness data set;

[0023] The second extreme value is compared with the first brightness threshold range, and if the second extreme value is not within the first brightness threshold range, a signal of airtightness problem is generated.

[0024] In at least one embodiment of the present application, the step of comparing the second extreme value with the first brightness threshold range, and if the second extreme value is not within the first brightness threshold range, generating a signal indicating an airtightness problem further comprises:

[0025] If the second extreme value is within the first brightness threshold range, a normal airtightness signal is generated.

[0026] In at least one embodiment of the present application, the image capturing mechanism includes a first capturing member and a rotating assembly fixedly connected to the first capturing member, and the rotating assembly is rotatably disposed on the detection platform;

[0027] The method further comprises:

[0028] The irradiation area of ​​the transparent diving cover and the position coordinates of the first shooting component are obtained, a first shooting signal is generated according to the center position of the irradiation area of ​​the transparent diving cover and the position coordinates of the first shooting component, and the first shooting signal is sent to the rotating component to control the rotating component to drive the first shooting component to rotate, so that the first shooting component moves to the center position facing the irradiation area.

[0029] In at least one embodiment of the present application, the method further includes:

[0030] The first position coordinates of the center position of the first camera facing the irradiation area are obtained, the supplementary shooting position coordinates are calculated according to the first position coordinates, the center position of the irradiation area and the deflection angle threshold, and the supplementary shooting signal is generated according to the supplementary shooting position coordinates.

[0031] In at least one embodiment of the present application, the detection device further comprises a semicircular refraction cover disposed on the detection platform, the refraction cover is disposed on the rotating assembly, the first photographing member is located in the refraction cover, and the refraction cover is located between the transparent diving cover to be detected and the first photographing member;

[0032] The method further comprises:

[0033] Obtaining the distance from the light source mechanism to the transparent diving cover to be detected, recorded as a first distance;

[0034] Obtain the light exit hole diameter of the light source mechanism, recorded as the illumination diameter;

[0035] Obtaining the distance from the transparent diving cover to be detected to the surface of the refractive cover and the curvature of the refractive cover;

[0036] The irradiation area of ​​the surface of the refractive cover irradiated by the light source mechanism is calculated according to the first distance, the illumination diameter, the distance from the transparent diving cover to be detected to the surface of the refractive cover, and the curvature of the refractive cover to obtain the irradiation area.

[0037] In at least one embodiment of the present application, the method further includes:

[0038] Acquire an image of the illuminated area on the surface of the refraction cover captured by the first photographing element at a central position facing the illuminated area to obtain a refraction image;

[0039] Performing brightness extraction on the refraction image to obtain an extracted refraction brightness image;

[0040] Acquire a third brightness data set of the extracted refraction brightness image, and select a third extreme value from the third brightness data set;

[0041] A set excluding the third extreme value from the third brightness data set is recorded as a third brightness set, and an average value of the third brightness set is calculated to obtain a third average value;

[0042] Obtaining a third brightness threshold range according to the third average value;

[0043] The third extreme value is compared with the third brightness threshold range, and if the third extreme value is not within the third brightness threshold range, a signal of airtightness problem is generated.

[0044] In at least one embodiment of the present application, the method further includes:

[0045] If the third extreme value is within the third brightness threshold range, a normal airtightness signal is generated.

[0046] In at least one embodiment of the present application, the image capturing mechanism further includes a second capturing member, the second capturing member is disposed on the rotating assembly, the second capturing member is disposed perpendicularly to the first capturing member, and the second capturing member is disposed perpendicularly to the detection platform;

[0047] The light source mechanism includes a first light source component and a second light source component, the first light source component cooperates with the first shooting component, the second light source component is located on the axis of the second shooting component, and the second light source component faces the second shooting component;

[0048] The method further comprises:

[0049] The second light source element illuminates the top of the transparent diving cover to be inspected to form a top light area, and the second shooting element acquires an image of the top light area to obtain a top light image;

[0050] Performing brightness extraction on the top light image to obtain an extracted top light brightness image;

[0051] Acquire a fourth brightness data set of the extracted top light brightness image, and select a fourth extreme value from the fourth brightness data set;

[0052] A set excluding the fourth extreme value from the fourth brightness data set is recorded as a fourth brightness set, and an average value of the fourth brightness set is calculated to obtain a fourth average value;

[0053] Obtaining a fourth brightness threshold range according to the fourth average value;

[0054] The fourth extreme value is compared with the fourth brightness threshold range, and if the fourth extreme value is not within the fourth brightness threshold range, a signal of an airtightness problem is generated.

[0055] In at least one embodiment of the present application, the detection platform is provided with a detection position, and a movable cavity is opened on the detection position;

[0056] The rotating assembly includes a driving motor, a driving gear, a connecting bearing and a mounting plate. The driving motor is arranged on the detection platform, and the driving gear is arranged at the output end of the driving motor. An annular rack portion is arranged on one side of the mounting plate, and the first shooting member and the second shooting member are located on the other side of the mounting plate. The driving gear is meshed with the rack portion. One end of the connecting bearing is arranged on the detection platform, and the other end is arranged on a side of the mounting plate away from the first shooting member.

[0057] The implementation of the air tightness detection method based on the diving cover of this embodiment will have at least the following beneficial effects:

[0058] The invention provides an air tightness detection method based on a diving cover. A transparent diving cover to be detected is placed on a detection table and covered by a sealed cover to ensure the airtightness of the detection environment.

[0059] The light source mechanism is started to illuminate the transparent diving cover to be inspected, and the image shooting mechanism captures the image of the illuminated area.

[0060] Brightness data is extracted from the captured image, and first extreme value screening, elimination and first average value calculation are performed to form a first brightness threshold range.

[0061] By comparing the first extreme value with the first brightness threshold range, it is determined whether the transparent diving cover to be inspected has an airtightness problem. If a problem is found, a signal indicating an airtightness problem is generated.

[0062] Through precise image brightness extraction and analysis, it is possible to detect tiny cracks and bubbles that are difficult to find with traditional detection methods, greatly improving the accuracy and reliability of detection.

[0063] Compared with traditional manual detection methods, this method uses automated equipment and algorithm processing to avoid errors and negligence that may occur in manual detection and ensure the safety of divers.

[0064] During the detection process, if a problem area is found, the method can automatically control the image capture mechanism to take additional photos, thereby ensuring the comprehensiveness of the detection and reducing the possibility of missed detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0066] in:

[0067] Figure 1 It is a flow chart of an air tightness detection method based on a diving mask in one embodiment;

[0068] Figure 2 It is a flow chart of an air tightness detection method based on a diving mask in another embodiment;

[0069] Figure 3 A flow chart of an air tightness detection method based on a diving mask in yet another embodiment;

[0070] Figure 4 A schematic diagram of the structure of a detection device in one embodiment;

[0071] Figure 5 for Figure 4 Exploded view of the testing equipment;

[0072] Figure 6 for Figure 4 Partial structural exploded diagram of the detection equipment;

[0073] Figure 7 for Figure 4 Another exploded view of the detection equipment;

[0074] Figure 8 for Figure 4 Cross-sectional view of the detection equipment.

[0075] Reference numerals:

[0076] 10. Testing equipment;

[0077] 11. Testing table; 11a. Activity chamber;

[0078] 12. Image capturing mechanism; 121. First capturing member; 122. Second capturing member; 123. Rotating assembly; 1231. Driving motor; 1232. Driving gear; 1233. Connecting bearing; 1234. Mounting plate;

[0079] 13. Closed cover;

[0080] 141. a first light source; 142. a second light source;

[0081] 15. Refraction hood;

[0082] 20. Transparent diving cover. DETAILED DESCRIPTION

[0083] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0084] A method for detecting air tightness based on a diving cover is used for detecting small cracks and bubbles that are difficult to detect during the processing of the diving cover. The detection device 10 includes a detection platform 11, an image shooting mechanism 12 arranged on the detection platform 11, a sealed cover 13 arranged on the detection platform 11, and a light source mechanism arranged in the sealed cover 13. The method for detecting air tightness based on the diving cover includes:

[0085] S101, placing the transparent diving cover 20 to be tested on the testing platform 11, so that the transparent diving cover 20 to be tested covers the image shooting mechanism 12;

[0086] S102, closing the airtight cover 13 so that the transparent diving cover 20 to be tested is inside the airtight cover 13;

[0087] S103, the system controls the light source mechanism to illuminate the transparent diving cover 20 to be inspected, and the image shooting mechanism 12 shoots the illuminated area of ​​the transparent diving cover 20 to obtain an image of the illuminated area;

[0088] S104, the system extracts brightness of the image of the irradiated area to obtain an extracted brightness image;

[0089] S105, the system obtains a first brightness data set of the extracted brightness image, and selects a first extreme value from the first brightness data set;

[0090] S106, the system removes the first extreme value from the first brightness data set and records it as a first brightness set, calculates the average value of the first brightness set, and obtains a first average value;

[0091] S107, the system obtains a first brightness threshold range according to the first average value;

[0092] S108, the system compares the first extreme value with the first brightness threshold range;

[0093] S109: If the first extreme value is not within the first brightness threshold range, a signal indicating that an airtightness problem exists is generated.

[0094] Please refer to Figure 1-Figure 8 In this embodiment, the transparent diving cover 20 to be tested is placed on the testing platform 11 and covered by the sealing cover 13 to ensure the airtightness of the testing environment.

[0095] The light source mechanism is started to illuminate the transparent diving cover 20 to be inspected, and the image shooting mechanism 12 captures the image of the illuminated area.

[0096] Brightness data is extracted from the captured image, and first extreme value screening, elimination and first average value calculation are performed to form a first brightness threshold range.

[0097] By comparing the first extreme value with the first brightness threshold range, it is determined whether the transparent diving cover 20 to be inspected has an airtightness problem. If a problem is found, an airtightness problem signal is generated.

[0098] Through precise image brightness extraction and analysis, it is possible to detect tiny cracks and bubbles that are difficult to find with traditional detection methods, greatly improving the accuracy and reliability of detection.

[0099] Compared with traditional manual detection methods, this method uses automated equipment and algorithm processing to avoid errors and negligence that may occur in manual detection and ensure the safety of divers.

[0100] During the detection process, if a problem area is found, the method can automatically control the image capture mechanism 12 to take additional photos, thereby ensuring the comprehensiveness of the detection and reducing the possibility of missed detection.

[0101] It should be noted that the light source mechanism irradiates the transparent diving cover 20 to be inspected, and the image shooting mechanism 12 shoots the irradiated area of ​​the transparent diving cover 20 to obtain an image of the irradiated area.

[0102] The light provided by the light source mechanism irradiates the transparent diving cover 20, and the image shooting mechanism 12 is responsible for capturing the image of the irradiated area. By controlling the illumination and shooting angle, the subtle defects on the surface and inside of the diving cover can be captured more clearly.

[0103] Brightness extraction is performed on the image of the irradiated area to obtain an extracted brightness image.

[0104] Brightness extraction is a process that uses algorithms to analyze the light intensity of each pixel in the image to identify possible cracks or bubbles. The brightness distribution on the surface and inside of the diving cover is extracted to help identify abnormal areas.

[0105] A first brightness data set of a brightness image is acquired, and a first extreme value is screened out therefrom.

[0106] Brightness data is extracted from the extracted brightness image, and extreme values, i.e., the highest and lowest values ​​in the brightness data, are screened out. These extreme values ​​may correspond to defects in the diving cover. Due to cracks and bubbles, the light here may be focused or scattered during the irradiation process, resulting in a difference in the light intensity here from that in other areas.

[0107] After removing the first extreme value, the average value of the first brightness set is calculated to obtain a first average value, and the first brightness threshold range is obtained according to the average value.

[0108] By removing extreme brightness values ​​and calculating the average of the remaining brightness data, a more stable brightness reference can be obtained. This average is used to determine the normal range of brightness and form a threshold range for subsequent defect judgment.

[0109] The first extreme value is compared with a first brightness threshold range, and if the first extreme value is not within the threshold range, an airtightness problem signal is generated.

[0110] By comparing the first extreme value with the first brightness threshold range, it can be determined whether there is a potential airtightness problem of the diving cover. If the first extreme value exceeds the normal range, it may indicate the presence of cracks or bubbles, thereby generating an airtightness problem signal.

[0111] Signs of airtightness problems are signs of cracks or bubbles here.

[0112] It should be further explained that cracks, bubbles and other defects inside transparent materials (such as diving masks) will change the propagation path of light when exposed to light, causing abnormal scattering, reflection or refraction of light in these areas. These anomalies will directly affect the brightness distribution of the corresponding areas in the image.

[0113] For transparent and stress-sensitive materials like diving domes, cracks and bubbles are often very small and difficult to detect by simple visual or traditional methods. However, by analyzing the brightness changes in the image, the differences in the optical appearance of these subtle defects can be magnified, making them more obvious and easier to identify.

[0114] The light emitted by the light source mechanism is parallel light.

[0115] By removing extreme values ​​and calculating the average of the remaining data, a more representative brightness level can be obtained. This average value can better reflect the normal optical characteristics of the area to be inspected, thereby reducing the impact of a single abnormal point on the overall judgment.

[0116] Secondly, by calculating the first average value and determining the threshold range based on the average value, the detection process is less sensitive to incidental factors, which improves the robustness and consistency of the overall detection. This method can still provide stable detection results even when the environment or equipment fluctuates slightly.

[0117] This method uses a sealed cover 13 to isolate external light from internal light to avoid affecting the detection.

[0118] The first brightness threshold range is determined by the first average value plus the manually set floating threshold value. For example, if the first average value is 0.3 and the manually set floating threshold value is 0.02 to -0.02, then the first brightness threshold range is 0.32 to 0.28.

[0119] In at least one embodiment of the present application, the method further includes:

[0120] S201, if the first extreme value is within the first brightness threshold range, generating a reshoot signal, and sending the reshoot signal to the image capturing mechanism 12 to control the image capturing mechanism 12 to move to a reshoot position;

[0121] S202, the image capturing mechanism 12 captures the irradiated area of ​​the transparent diving cover 20 from the re-shooting position to obtain a re-shooting image, and performs brightness extraction on the re-shooting image to obtain an extracted re-shooting brightness image;

[0122] S203, the system obtains a second brightness data set of the extracted retaken brightness image, and selects a second extreme value from the second brightness data set;

[0123] S204, comparing the second extreme value with the first brightness threshold range;

[0124] S205: If the second extreme value is not within the first brightness threshold range, a signal indicating that an airtightness problem exists is generated.

[0125] Please refer to Figure 1-Figure 8 In this embodiment, the system captures the image of the illuminated area of ​​the transparent diving cover 20 and performs brightness analysis, selects the first extreme value and compares it with the first brightness threshold range.

[0126] If the first extreme value is within the first brightness threshold range, the system will not immediately determine that the diving cover is fully qualified, but will generate a retake signal.

[0127] If no obvious defects are found in the initial judgment, the system generates a reshoot signal and instructs the image capture mechanism 12 to move to the reshoot position to capture the image a second time to improve the accuracy of the detection and avoid missing subtle defects in the initial detection.

[0128] The brightness of the retaken image is extracted, the second extreme value is screened out, and the second extreme value is compared with the first brightness threshold range of the initial detection. If the extreme value in the retaken image exceeds the first brightness threshold range, the system determines that the diving mask has an airtightness problem and generates an airtightness problem signal.

[0129] The generation and execution of the re-shooting signal ensures double confirmation of the detection process, and can capture subtle defects that may be missed in the initial detection. This greatly improves the accuracy of the detection and avoids misjudgment or missed judgment.

[0130] By flexibly deciding whether to retake the image based on the initial results during the inspection process, the system can improve efficiency while ensuring inspection quality, making the inspection process both accurate and resource-efficient, and adapting to different inspection needs.

[0131] It should be noted that during the initial shooting process, some areas may not be completely or clearly captured due to various factors (such as camera position, light source angle, shape or surface characteristics of the diving cover). In particular, the transparent diving cover 20 with a complex shape may have multiple curvatures and angles on its surface.

[0132] The selection of the supplementary shooting position is usually for the area that may not be covered or not fully photographed in the initial inspection, ensuring that the irradiated area of ​​the transparent diving cover 20 is fully detected. This supplementary shooting can cover the area missed by the initial shooting, avoiding misjudgment or omission due to undetected defects.

[0133] Secondly, after the first shot, if the initial detected brightness extreme value (first extreme value, including maximum and minimum values) is within the first brightness threshold range but close to the boundary, it may indicate that there is a potential defect in the area, but it is not obvious enough. At this time, it is necessary to re-shoot the area more carefully and more specifically to obtain more accurate image data.

[0134] Taking additional photos at the additional location can capture more subtle defects using different angles or higher resolution. Additional photos can help identify potential problems that were not clearly visible in the initial inspection, thereby improving the overall inspection accuracy.

[0135] In at least one embodiment of the present application, the step of comparing the second extreme value with the first brightness threshold range, and if the second extreme value is not within the first brightness threshold range, generating a signal indicating an airtightness problem further comprises:

[0136] S206: If the second extreme value is within the first brightness threshold range, a signal indicating that airtightness is normal is generated.

[0137] Please refer to Figure 1-Figure 8 In this embodiment, after reshooting and extracting the brightness data of the reshoot image, the system will generate a new extreme value, namely the second extreme value. The second extreme value will be compared with the first brightness threshold range set previously. By comparison, it can be determined whether the brightness of the reshoot area is within the expected normal range.

[0138] If the comparison result shows that the second extreme value exceeds the normal brightness threshold range, this indicates that the re-shot area may have airtightness problems, such as cracks or bubbles. In this case, the system will generate an airtightness problem signal, indicating that there is an airtightness problem in the area, prompting further processing or detection.

[0139] If the second extreme value is within the brightness threshold range, it means that the brightness data of the retake area meets expectations and no abnormality is found. Therefore, the system generates a signal that the airtightness is normal here, indicating that the airtightness of the area is normal and no further processing is required.

[0140] By comparing the brightness extremes of the retake images, this method provides a multi-level defect recognition capability. Even if the initial inspection does not reveal a problem, the retake and re-comparison steps ensure that even the slightest defect will not be overlooked.

[0141] By comparing the images again after the retake, the system can more accurately determine the airtightness problem. Compared with a single test, this multiple confirmation mechanism improves the accuracy and reliability of the test and reduces the possibility of missed detection and false detection.

[0142] In this embodiment, the image capturing mechanism 12 is deflected at a certain angle and distance to perform the capturing, thereby avoiding the accuracy of the result being affected by the projection angle problem.

[0143] In at least one embodiment of the present application, the image capturing mechanism 12 includes a first capturing member 121 and a rotating assembly 123 fixedly connected to the first capturing member 121, and the rotating assembly 123 is rotatably disposed on the detection platform 11;

[0144] The method further comprises:

[0145] The irradiation area of ​​the transparent diving cover 20 and the position coordinates of the first photographing element 121 are obtained, a first photographing signal is generated according to the center position of the irradiation area of ​​the transparent diving cover 20 and the position coordinates of the first photographing element 121, and the first photographing signal is sent to the rotating component 123 to control the rotating component 123 to drive the first photographing element 121 to rotate, so that the first photographing element 121 moves to the center position facing the irradiation area.

[0146] Please refer to Figure 1-Figure 8 In this embodiment, before capturing an image, the system needs to determine the specific area of ​​the transparent diving cover 20 that is currently illuminated by the light source (ie, the illuminated area) and the current location of the first camera 121 .

[0147] The first imaging signal is generated according to the center position of the irradiation area of ​​the transparent diving cover 20 and the position coordinates of the first imaging element 121 .

[0148] Using the center position of the irradiation area and the current position of the first camera 121, the system calculates the direction and angle that the first camera 121 needs to move, thereby generating a first shooting signal that instructs the rotating assembly 123 how to rotate the first camera 121 to achieve the best shooting angle.

[0149] After the first shooting signal is transmitted to the rotating component 123, the rotating component 123 will adjust the position of the first shooting element 121 according to the signal, so that it is precisely aligned with the center of the irradiation area of ​​the transparent diving cover 20, ensuring that the first shooting element 121 can capture the clearest and most useful image, especially for subtle defects on the surface or inside of the diving cover.

[0150] By automatically adjusting the position of the camera so that it is always aligned with the center of the irradiated area, it ensures that the clearest and most important image of the inspection area is captured every time.

[0151] Automatically control the position adjustment and image capture of the photographed parts, reducing the reliance on manual operation. This not only improves the inspection efficiency, but also reduces the possibility of human error, ensuring the consistency and reliability of the inspection results.

[0152] It should be noted that the first photographing member 121 is a component that actually performs the photographing task. The first photographing member 121 is a camera, and the rotating member 123 enables the first photographing member 121 to be flexibly moved so as to be aimed at different detection areas. The design of the rotating member 123 enables the photographing member to adjust its angle and position as needed to cover different detection areas.

[0153] In at least one embodiment of the present application, the method further includes:

[0154] The first position coordinates of the first camera 121 facing the center of the irradiation area are obtained, the reshooting position coordinates are calculated according to the first position coordinates, the center of the irradiation area and the deflection angle threshold, and the reshooting signal is generated according to the reshooting position coordinates.

[0155] Please refer to Figure 1-Figure 8 In this embodiment, when performing the first shooting, the system records the first position coordinates of the first shooting element 121 relative to the center of the irradiation area. The first position coordinates are used to indicate the position of the first shooting element 121 during the first shooting.

[0156] The system calculates the new position to which the first shooting element 121 needs to move, i.e., the supplementary shooting position, based on the position coordinates of the initial shooting and the position coordinates of the center of the irradiated area, as well as the preset deflection angle threshold. The deflection angle threshold is used to determine the angle to which the shooting element needs to be offset to ensure that the supplementary shooting can cover the area of ​​the initial shooting.

[0157] After calculating the coordinates of the reshoot position, the system generates a reshoot signal, which instructs the first camera 121 to move to the reshoot position, ensuring that the camera can correctly align with the area that needs further inspection during the reshoot.

[0158] By calculating the retake position and executing the retake, the system is able to re-inspect the area from another angle during the initial shot, ensuring full coverage of the entire irradiation area. This reduces the risk of missed inspections, especially for those subtle defects that are difficult to detect in the initial shot.

[0159] This ensures that the first photographing element 121 can accurately align with the area that needs to be re-photographed. Through this precise secondary photography, the system can more accurately identify possible defects and improve the accuracy of detection.

[0160] ,in,( , , ) is the position coordinate of the first photographing element 121;

[0161] ( , , ) are the position coordinates of the center of the irradiated area.

[0162] Assumed deflection angle It is the maximum angle deviation allowed by artificial setting in the system. The deflection is calculated by the following formula :

[0163] ,in, is the tangent of the deflection angle threshold.

[0164] Determine the coordinates of the retake position:

[0165] The deflection calculated , determine the coordinates of the retake position . Reshoot location The direction can be along the arrive The connection is fine-tuned, the specific formula is:

[0166] ; Among them, the vector The position vector from the center coordinates of the image of the irradiated area to the position of the first imaging element 121 is represented.

[0167] Normalized vector indicates direction, while the deflection The moving distance of the first photographing element 121 is determined.

[0168] Indicates the supplementary shooting position, which is the coordinate of the shooting position of the first shooting element 121 at the initial shooting position (facing the center of the irradiated area) The new coordinates after the deflection angle threshold is adjusted ensure that the irradiated area can be photographed at different angles during reshooting to capture different images, thereby improving the overall detection accuracy and avoiding low detection accuracy due to angle problems.

[0169] In at least one embodiment of the present application, the detection device 10 further includes a semicircular refraction cover 15 disposed on the detection platform 11, the refraction cover 15 is disposed on the rotating assembly 123, the first photographing member 121 is located in the refraction cover 15, and the refraction cover 15 is located between the transparent diving cover 20 to be detected and the first photographing member 121;

[0170] The method further comprises:

[0171] S301, the system obtains the distance from the light source mechanism to the transparent diving cover 20 to be detected, which is recorded as a first distance;

[0172] S302, the system obtains the diameter of the light exit hole of the light source mechanism, which is recorded as the illumination diameter;

[0173] S303, the system obtains the distance from the transparent diving cover 20 to be detected to the surface of the refractive cover 15 and the curvature of the refractive cover 15;

[0174] S304, calculating the irradiation area of ​​the light source mechanism irradiating the surface of the refracting cover 15 according to the first distance, the illumination diameter, the distance from the transparent diving cover 20 to be detected to the surface of the refracting cover 15, and the curvature of the refracting cover 15 to obtain the irradiation area.

[0175] Please refer to Figure 1-Figure 8 In this embodiment, the distance from the light source mechanism to the transparent diving cover 20 to be detected is obtained, which is recorded as the first distance. The distance between the light source and the transparent diving cover 20 directly affects the distribution of light on the surface of the diving cover.

[0176] This distance is precisely measured to ensure that light can be evenly irradiated onto the diving housing and optimize the lighting effect to provide good conditions for subsequent image capture.

[0177] Obtain the diameter of the light exit hole of the light source mechanism, recorded as the illumination diameter.

[0178] The diameter of the light outlet hole of the light source determines the width of the light beam, affects the size of the illuminated area and the distribution of light intensity, and is crucial for calculating the area of ​​the illuminated area, thereby ensuring illumination uniformity and image quality.

[0179] The distance from the transparent diving cover 20 to be detected to the surface of the refractive cover 15 and the curvature of the refractive cover 15 are obtained.

[0180] The distance between the diving cover and the refraction cover 15 and the curvature of the refraction cover 15 determine how the light propagates after passing through the refraction cover 15 , and ultimately affect the characteristics of the image captured by the first camera 121 .

[0181] According to the first distance, the illumination diameter, the distance from the diving cover to the surface of the refraction cover 15 and the curvature of the refraction cover 15, the illumination area of ​​the light source irradiating to the surface of the refraction cover 15 is calculated to obtain the illumination area.

[0182] Calculate the area of ​​the irradiation area formed by the light on the surface of the refraction cover 15. This step is to ensure that the light can effectively cover the detection area of ​​the diving cover, and optimize the brightness and contrast of the image through the optical adjustment of the refraction cover 15, so that the camera can obtain a clear detection image.

[0183] This ensures that the light can evenly and effectively cover the surface of the diving cover, avoiding interference from direct reflected light and shadows. This enables the first camera 121 to obtain high-quality images, which helps to identify subtle defects on the surface of the diving cover, thereby improving the accuracy of detection.

[0184] It should be noted that the semicircular refraction cover 15 is a transparent semicircular cover designed to guide the path of light. It is installed on the rotating assembly 123 and can adjust the angle as the shooting element moves. The function of the refraction cover 15 is to enable the shooting element to capture a panoramic image of the surface of the diving cover through optical refraction, especially to help uniform lighting and avoid interference from direct reflected light, thereby improving the clarity and accuracy of the image.

[0185] The refraction cover 15 can change the propagation direction of the light through its curved surface shape, so that the light propagates along a specific path. The focus can be adjusted by changing the convergence or divergence characteristics of the light. This can be similar to "focusing" the light to a certain extent, making the light in a certain area more concentrated, which may appear as a local "magnification" in visual effect. The optical quality during the detection process is improved, making the imaging clearer and more uniform, thereby improving the accuracy and reliability of the detection.

[0186] It should be further explained that a parallel light source is used, and the light will not diverge or converge obviously during the propagation process. However, if there are gaps or bubbles, some areas will be highlighted or darkened.

[0187] A parallel light source means that all light rays are parallel, that is, after the light rays are emitted from the light source, the incident angle of the light rays is the same. ,

[0188] The diameter of the beam remains unchanged, and the illumination diameter is recorded as .

[0189] Assume that the light passes through air (refractive index ) enters the refraction cover 15 (refractive index ), the incident angle of the light is , then the refraction angle Snell's law still applies:

[0190] ,

[0191] For a parallel light source, the illumination area of ​​the light on the surface of the refraction cover 15 is It is mainly affected by the curvature of the refraction cover 15 and the incident angle, and is calculated using the following formula:

[0192] , is the radius of curvature of the refraction cover 15, is the refraction angle after refraction;

[0193] Example:

[0194] Assume the following parameters:

[0195] , , , , but:

[0196] Calculating the refraction angle :

[0197] ;

[0198] .

[0199] Calculate the irradiated area :

[0200]

[0201] To obtain the theoretical irradiation area.

[0202] In at least one embodiment of the present application, the method further includes:

[0203] S305, the system acquires an image of the illuminated area on the surface of the refraction cover 15 captured by the first photographing element 121 at a position directly opposite to the center of the illuminated area, and obtains a refraction image;

[0204] S306, the system performs brightness extraction on the refraction image to obtain an extracted refraction brightness image;

[0205] S307, the system obtains a third brightness data set of the extracted refraction brightness image, and selects a third extreme value from the third brightness data set;

[0206] S308, the system removes the set of the third extreme value from the third brightness data set and records it as a third brightness set, calculates the average value of the third brightness set, and obtains a third average value;

[0207] S309, the system obtains a third brightness threshold range according to the third average value;

[0208] S310, the system compares the third extreme value with the third brightness threshold range;

[0209] S311. If the third extreme value is not within the third brightness threshold range, a signal indicating that there is an airtightness problem is generated.

[0210] Please refer to Figure 1-Figure 8 In this embodiment, the first camera 121 is aimed at the illuminated area of ​​the refraction cover 15 to capture an image, especially capturing the area illuminated by light on the surface of the refraction cover 15. This image, called a refraction image, records the illumination distribution formed on the surface of the refraction cover 15 after the light passes through it.

[0211] The brightness information in the refraction image reflects how the light is distributed after passing through the refraction cover 15. Through brightness extraction, the brightness value of each pixel point can be extracted from the image to form a brightness data set - the third brightness data set.

[0212] A third brightness data set of the extracted refraction brightness image is acquired, and a third extreme value is screened out therefrom.

[0213] A set obtained by removing the third extreme value from the third brightness data set is recorded as a third brightness set, and an average value of the third brightness set is calculated to obtain a third average value.

[0214] The brightness set after removing extreme values ​​reflects the relatively uniform illumination distribution in the refraction image. Calculating the average value of the set helps to determine a normal brightness benchmark. The third average value represents the light distribution characteristics in the absence of abnormalities.

[0215] A third brightness threshold range is obtained according to the third average value, and the third extreme value is compared with the third brightness threshold range. If the third extreme value is not within the third brightness threshold range, a signal of an airtightness problem is generated.

[0216] The third brightness threshold range determined by the third average value is used to determine whether there are abnormal brightness points (i.e., extreme values) in the refraction image. If the third extreme value exceeds this threshold range, it indicates that there may be abnormal refraction or scattering of light in the area, which may be caused by slight defects on the surface of the material or airtightness problems, so the system generates an airtightness problem signal.

[0217] By carefully analyzing the brightness of the refracted image, the system can more accurately identify subtle defects that may exist in the diving mask.

[0218] Refraction can magnify the difference in extreme values, thereby amplifying the change in brightness, making the judgment more accurate.

[0219] The third brightness threshold range is determined by the third average value plus the manually set floating threshold value. For example, if the third average value is 0.3 and the manually set floating threshold value is 0.02 to -0.02, then the first brightness threshold range is 0.32 to 0.28.

[0220] In at least one embodiment of the present application, the method further includes:

[0221] S312: If the third extreme value is within the third brightness threshold range, a normal airtightness signal is generated.

[0222] Please refer to Figure 1-Figure 8 In this embodiment, after extracting and screening the third extreme values ​​in the refraction image, the system compares these extreme values ​​with the third brightness threshold range.

[0223] If the comparison result shows that the third extreme value is within the threshold range, the system determines that the light distribution in the area is normal and there are no abnormal optical characteristics caused by material defects or other problems.

[0224] After confirming that the detection area is normal, the system generates a normal airtightness signal, which means that the airtightness of the transparent diving cover 20 in the detection area is fine, the product meets the quality standards, and can continue to enter the next step of production or inspection process.

[0225] By accurately comparing the extreme value with the threshold value, the system can accurately determine whether the airtightness of the transparent diving cover 20 is normal. The judgment reduces the error of human subjective judgment and ensures the reliability of the detection result.

[0226] Through accurate airtightness judgment, the system can effectively screen out qualified products, avoid rework or waste caused by inaccurate test results, and thus reduce production costs.

[0227] In at least one embodiment of the present application, the image capturing mechanism 12 further includes a second capturing member 122, the second capturing member 122 is disposed on the rotating assembly 123, the second capturing member 122 is disposed perpendicularly to the first capturing member 121, and the second capturing member 122 is disposed perpendicularly to the detection platform 11;

[0228] The light source mechanism includes a first light source component 141 and a second light source component 142. The first light source component 141 cooperates with the first photographing component 121. The second light source component 142 is located on the axis of the second photographing component 122 and faces the second photographing component 122.

[0229] The method further comprises:

[0230] S401, the second light source element 142 illuminates the top of the transparent diving cover 20 to be inspected to form a top light area, and the second camera element 122 acquires an image of the top light area to obtain a top light image;

[0231] S402, the system performs brightness extraction on the top light image to obtain an extracted top light brightness image;

[0232] S403, the system obtains a fourth brightness data set of the extracted top light brightness image, and selects a fourth extreme value from the fourth brightness data set;

[0233] S404, the system removes the set of the fourth extreme value from the fourth brightness data set and records it as a fourth brightness set, calculates the average value of the fourth brightness set, and obtains a fourth average value;

[0234] S405, the system obtains a fourth brightness threshold range according to the fourth average value;

[0235] S406, the system compares the fourth extreme value with the fourth brightness threshold range;

[0236] S407: If the fourth extreme value is not within the fourth brightness threshold range, a signal indicating that an airtightness problem exists is generated.

[0237] Please refer to Figure 1-Figure 8 In this embodiment, the second light source 142 evenly illuminates the top of the transparent diving cover 20 to form a top light area. The second camera 122 is vertically arranged to capture the image of this area to generate a top light image.

[0238] The system extracts brightness data from the top light image to form a fourth brightness data set. By screening extreme values, removing abnormal points, and calculating the average value of the remaining data, the system obtains a reference brightness for subsequent judgment.

[0239] Based on the fourth average value, the system determines a fourth brightness threshold range, and then compares the fourth extreme value with the range to determine whether the brightness distribution of the top light area is normal.

[0240] If the comparison result shows that the fourth extreme value exceeds the normal range, the system generates an airtightness problem signal, indicating that there may be defects on the top of the transparent diving cover 20 and further processing or repair is required.

[0241] By providing the second photographing element 122 and the second light source element 142, the system can inspect the transparent diving cover 20 from multiple angles, especially focusing on potential defects in the top area. This multi-angle inspection method significantly improves the coverage and accuracy of the inspection.

[0242] Automated brightness extraction and data processing reduce manual intervention and ensure the consistency and reliability of test results. The system's data-driven judgment reduces misjudgment and improves the efficiency of quality control.

[0243] It should be noted that the second photographing element 122 is a camera, and the second light source element 142 is a parallel light source.

[0244] The fourth brightness threshold range is determined by the fourth average value plus the manually set floating threshold value. For example, if the fourth average value is 0.3 and the manually set floating threshold value is 0.02 to -0.02, then the first brightness threshold range is 0.32 to 0.28.

[0245] In at least one embodiment of the present application, the detection platform 11 is provided with a detection position, and an active cavity 11a is opened on the detection position;

[0246] The rotating assembly 123 includes a driving motor 1231, a driving gear 1232, a connecting bearing 1233 and a mounting plate 1234. The driving motor 1231 is arranged on the detection platform 11, and the driving gear 1232 is arranged at the output end of the driving motor 1231. An annular rack portion is provided on one side of the mounting plate 1234. The first shooting member 121 and the second shooting member 122 are located on the other side of the mounting plate 1234. The driving gear 1232 is meshed with the rack portion. One end of the connecting bearing 1233 is arranged on the detection platform 11, and the other end is arranged on a side of the mounting plate 1234 away from the first shooting member 121.

[0247] Please refer to Figure 1-Figure 8 In this embodiment, during the detection process, the transparent diving cover 20 to be detected is fixed on the detection position of the detection platform 11. The movable cavity 11a allows the image capture component or the light source mechanism to move or adjust the position freely as needed to adapt to different detection angles and areas.

[0248] After the driving motor 1231 is started, the driving gear 1232 at its output end meshes with the rack portion on the mounting plate 1234, thereby transmitting power to the mounting plate 1234. As the gear rotates, the mounting plate 1234 moves along a predetermined track, driving the photographing element to move to the desired detection position.

[0249] With the support of the connecting bearing 1233, the mounting plate 1234 can rotate and move smoothly on the inspection platform 11. Since the first photographing member 121 and the second photographing member 122 are mounted on the mounting plate 1234, the system can change the angle and position of the photographing member by adjusting the position of the mounting plate 1234, so as to photograph different inspection areas.

[0250] The synergy of the drive motor 1231, the drive gear 1232, the connecting bearing 1233 and the mounting plate 1234 ensures that the photographing element can be accurately moved and positioned during the detection process. This precise control enables the system to perform a comprehensive detection of each part of the transparent diving cover 20, ensuring the comprehensiveness and accuracy of the detection.

[0251] It should be noted that the first light source 141 and the second light source 142 are both moved linearly by a hydraulic propulsion system, and the second light source 142 is arranged perpendicular to the table top of the detection table 11. A motor is provided at the fixed end of the first light source 141 to control the rotation of the first light source 141.

[0252] In another embodiment, the diameter of the mounting plate 1234 is smaller than the diameter of the movable cavity 11 a , and a screw transmission mechanism is provided between the connecting bearing 1233 and the detection platform 11 to drive the mounting plate 1234 to move.

[0253] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0254] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for detecting air tightness of a diving cover, which is used for detecting small cracks and bubbles that are difficult to detect during the processing of the diving cover, and is characterized in that: The detection equipment includes a detection platform, an image shooting mechanism arranged on the detection platform, a closed cover arranged on the detection platform, and a light source mechanism arranged in the closed cover. The airtightness detection method based on the diving cover includes: Placing the transparent diving cover to be tested on the testing table so that the transparent diving cover to be tested covers the image capturing mechanism; Closing the airtight cover so that the transparent diving cover to be tested is inside the airtight cover; The light source mechanism irradiates the transparent diving cover to be inspected, and the image shooting mechanism shoots the irradiated area of ​​the transparent diving cover to obtain an image of the irradiated area; Performing brightness extraction on the image of the irradiated area to obtain an extracted brightness image; Acquire a first brightness data set of the extracted brightness image, and select a first extreme value from the first brightness data set; A set excluding the first extreme value from the first brightness data set is recorded as a first brightness set, and an average value of the first brightness set is calculated to obtain a first average value; Obtaining a first brightness threshold range according to the first average value; Compare the first extreme value with the first brightness threshold range, and if the first extreme value is not within the first brightness threshold range, generate a signal indicating an airtightness problem; If the first extreme value is within the first brightness threshold range, a reshoot signal is generated, and the reshoot signal is sent to the image capturing mechanism to control the image capturing mechanism to move to a reshoot position; The image shooting mechanism shoots the irradiated area of ​​the transparent diving cover from the reshoot position to obtain a reshoot image, and performs brightness extraction on the reshoot image to obtain an extracted reshoot brightness image; Acquire a second brightness data set of the extracted retaken brightness image, and filter out a second extreme value from the second brightness data set; Compare the second extreme value with the first brightness threshold range, and if the second extreme value is not within the first brightness threshold range, generate a signal indicating an airtightness problem; The image capturing mechanism comprises a first capturing member and a rotating assembly fixedly connected to the first capturing member, wherein the rotating assembly is rotatably disposed on the detection platform; The method further comprises: Acquire the irradiation area of ​​the transparent diving cover and the position coordinates of the first photographing member, generate a first photographing signal according to the center position of the irradiation area of ​​the transparent diving cover and the position coordinates of the first photographing member, and send the first photographing signal to the rotating component to control the rotating component to drive the first photographing member to rotate, so that the first photographing member moves to the center position facing the irradiation area; The first position coordinates of the center position of the first camera facing the irradiation area are obtained, the supplementary shooting position coordinates are calculated according to the first position coordinates, the center position of the irradiation area and the deflection angle threshold, and the supplementary shooting signal is generated according to the supplementary shooting position coordinates.

2. The air tightness detection method based on the diving cover according to claim 1 is characterized in that: The step of comparing the second extreme value with the first brightness threshold range, and generating a signal indicating an airtightness problem if the second extreme value is not within the first brightness threshold range, further comprises: If the second extreme value is within the first brightness threshold range, a normal airtightness signal is generated.

3. The air tightness detection method based on the diving cover according to claim 1 is characterized in that: The detection device further comprises a semicircular refraction cover arranged on the detection platform, the refraction cover is arranged on the rotating assembly, the first photographing member is located inside the refraction cover, and the refraction cover is located between the transparent diving cover to be detected and the first photographing member; The method further comprises: Obtaining the distance from the light source mechanism to the transparent diving cover to be detected, recorded as a first distance; Obtain the light exit hole diameter of the light source mechanism, recorded as the illumination diameter; Obtaining the distance from the transparent diving cover to be detected to the surface of the refractive cover and the curvature of the refractive cover; The irradiation area of ​​the surface of the refractive cover irradiated by the light source mechanism is calculated according to the first distance, the illumination diameter, the distance from the transparent diving cover to be detected to the surface of the refractive cover, and the curvature of the refractive cover to obtain the irradiation area.

4. The air tightness detection method based on the diving cover according to claim 3 is characterized in that: The method further comprises: Acquire an image of the illuminated area on the surface of the refraction cover captured by the first photographing element at a central position facing the illuminated area to obtain a refraction image; Performing brightness extraction on the refraction image to obtain an extracted refraction brightness image; Acquire a third brightness data set of the extracted refraction brightness image, and select a third extreme value from the third brightness data set; A set excluding the third extreme value from the third brightness data set is recorded as a third brightness set, and an average value of the third brightness set is calculated to obtain a third average value; Obtaining a third brightness threshold range according to the third average value; The third extreme value is compared with the third brightness threshold range, and if the third extreme value is not within the third brightness threshold range, a signal of airtightness problem is generated.

5. The air tightness detection method based on the diving cover according to claim 4 is characterized in that: The method further comprises: If the third extreme value is within the third brightness threshold range, a normal airtightness signal is generated.

6. The air tightness detection method based on the diving cover according to claim 1 is characterized in that: The image capturing mechanism further includes a second capturing member, which is disposed on the rotating assembly, is vertically disposed to the first capturing member, and is vertically disposed to the detection platform; The light source mechanism includes a first light source component and a second light source component, the first light source component cooperates with the first shooting component, the second light source component is located on the axis of the second shooting component, and the second light source component is directly opposite to the second shooting component; The method further comprises: The second light source element illuminates the top of the transparent diving cover to be inspected to form a top light area, and the second shooting element acquires an image of the top light area to obtain a top light image; Performing brightness extraction on the top light image to obtain an extracted top light brightness image; Acquire a fourth brightness data set of the extracted top light brightness image, and select a fourth extreme value from the fourth brightness data set; A set excluding the fourth extreme value from the fourth brightness data set is recorded as a fourth brightness set, and an average value of the fourth brightness set is calculated to obtain a fourth average value; Obtaining a fourth brightness threshold range according to the fourth average value; The fourth extreme value is compared with the fourth brightness threshold range, and if the fourth extreme value is not within the fourth brightness threshold range, a signal of an airtightness problem is generated.

7. The air tightness detection method based on the diving cover according to claim 6 is characterized in that: The detection table is provided with a detection position, and the detection position is provided with an active cavity; The rotating assembly includes a driving motor, a driving gear, a connecting bearing and a mounting plate. The driving motor is arranged on the detection platform, and the driving gear is arranged at the output end of the driving motor. An annular rack portion is arranged on one side of the mounting plate, and the first shooting member and the second shooting member are located on the other side of the mounting plate. The driving gear is meshed with the rack portion. One end of the connecting bearing is arranged on the detection platform, and the other end is arranged on a side of the mounting plate away from the first shooting member.

Images