A cast film defect detection device based on AI image recognition

CN224624415UActive Publication Date: 2026-08-11HEYUAN BOHUI IND CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
Filing Date
2025-06-11
Publication Date
2026-08-11

AI Technical Summary

Technical Problem

[0005]本实用新型公开一种基于AI图像识别的流延膜缺陷检测设备,旨在解决传统的基于AI图像识别的流延膜缺陷检测设备的镜头高度和检测角度难以根据流延膜的不同厚度和宽度进行调整

Benefits of technology

[0011]由上可知,一种基于AI图像识别的流延膜缺陷检测设备,包括工作台,所述工作台的顶部外壁安装有多个导辊,所述工作台的顶部外壁固定有灯管,所述工作台的顶部外壁安装有两个支撑柱,所述支撑柱的一侧外壁安装有两个报警灯,两个所述支撑柱之间连接有同一个连接板,还包括:调节机构:所述调节机构包括连接在所述连接板两端的两个丝杆,所述连接板的底部外壁固定有固定盘,所述固定盘的两侧内壁连接有连接盘,所述连接盘的内部开设有多个等距离分布的连接孔,所述固定盘与所述连接盘的内部均连接有同一个连接杆,所述固定盘的一侧外壁固定有固定块,所述固定块的内部安装有插销,所述插销的外壁套设有弹簧,所述插销靠近所述连接盘的一端连接有限位片,所述连接盘的底部外壁固定有固定板;清洁机构:所述清洁机构位于所述连接板的顶部外壁。本实用新型提供的基于AI图像识别的流延膜缺陷检测设备具有对检测设备的高度和角度进行调节,避免出现拍摄角度不佳、视野覆盖不全面的问题,以及对镜头表面灰尘进行清洁的技术效果。

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Abstract

This utility model discloses an AI image recognition-based casting film defect detection device, including a worktable. Multiple guide rollers are installed on the top outer wall of the worktable, and lamp tubes are fixed to the top outer wall of the worktable. Two support columns are installed on the top outer wall of the worktable, and two alarm lights are installed on one side of the outer wall of each support column. A common connecting plate connects the two support columns. The device also includes an adjustment mechanism: the adjustment mechanism includes two lead screws connected to both ends of the connecting plate, a fixed plate is fixed to the bottom outer wall of the connecting plate, and connecting plates are connected to the inner walls of both sides of the fixed plate. This AI image recognition-based casting film defect detection device allows for adjustment of the height and angle of the detection device, avoiding problems such as poor shooting angle and incomplete field of view, and also effectively cleaning dust from the lens surface.
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Description

Technical Field

[0001] This utility model relates to the technical field of cast film inspection equipment, and in particular to a cast film defect inspection equipment based on AI image recognition. Background Technology

[0002] In modern industrial production, the application of cast film is becoming increasingly widespread, and its quality directly affects the performance and quality of subsequent products. AI-based image recognition defect detection equipment for cast film has emerged to address this need. Utilizing advanced AI technology and image recognition algorithms, it can quickly and accurately detect various defects on the surface of cast film, such as scratches, holes, and impurities. This equipment significantly improves the efficiency and accuracy of quality control in cast film production, reduces errors and labor intensity associated with manual inspection, and plays a crucial role in ensuring product quality and reducing production costs.

[0003] However, traditional AI image recognition-based casting film defect detection equipment struggles to adjust lens height and detection angle according to the varying thicknesses and widths of the casting film. This makes it impossible to guarantee the optimal detection distance and angle between the lens and the casting film when inspecting casting films of different specifications, thus affecting the accuracy and reliability of the inspection.

[0004] For example, when inspecting a wider cast film, the lens inspection angle cannot be adjusted, resulting in incomplete field of view coverage and missing defects in some edge areas, posing a potential risk to product quality. Utility Model Content

[0005] This utility model discloses an AI image recognition-based defect detection device for cast film, aiming to solve the problem that traditional AI image recognition-based defect detection devices for cast film cannot adjust the lens height and detection angle according to the different thicknesses and widths of the cast film. This makes it impossible to guarantee that the lens and the cast film are at the optimal detection distance and angle when detecting cast films of different specifications, thus affecting the accuracy and reliability of the detection.

[0006] To achieve the above objectives, the present invention adopts the following technical solution:

[0007] A casting film defect detection device based on AI image recognition includes a workbench, with multiple guide rollers installed on the top outer wall of the workbench, lamp tubes fixed on the top outer wall of the workbench, two support columns installed on the top outer wall of the workbench, two alarm lights installed on one side outer wall of each support column, and a common connecting plate connecting the two support columns. The device also includes: an adjustment mechanism comprising two lead screws connected to both ends of the connecting plate, a fixed plate fixed to the bottom outer wall of the connecting plate, connecting plates connected to the inner walls of both sides of the fixed plate, multiple equally spaced connecting holes inside the connecting plate, a common connecting rod connected to the interior of both the fixed plate and the connecting plate, a fixed block fixed to one side outer wall of the fixed plate, a pin installed inside the fixed block, a spring sleeved on the outer wall of the pin, a limit piece connected to the end of the pin near the connecting plate, and a fixed plate fixed to the bottom outer wall of the connecting plate; and a cleaning mechanism located on the top outer wall of the connecting plate.

[0008] In this design, a rotating lead screw drives the connecting plate to move smoothly up and down vertically, thereby adjusting the height of the lens. By controlling the detection distance, it adapts to the detection requirements of cast films with different thicknesses and widths. Connecting plates are connected to the inner walls of the fixed plate on both sides. The connecting plates can rotate relative to the fixed plate, and their relative angle with the fixed plate can be flexibly adjusted through multiple equidistant connecting holes, meeting the requirements for diverse detection angle adjustments. A connecting rod connects the fixed plate and the connecting plate together, enabling coordinated movement during angle adjustment. A fixing block provides a mounting base for the internal pin, while a spring on the outer wall of the pin provides elasticity, causing the pin to tend to move towards the connecting plate. After the lens angle is adjusted, inserting the pin into the connecting hole of the connecting plate locks the relative angle between the connecting plate and the fixed plate, preventing angle deviation during equipment operation. A limiting piece prevents the pin from completely dislodging from the connecting hole of the connecting plate, ensuring the continued effectiveness of the locking function.

[0009] In a preferred embodiment, the cleaning mechanism includes an exhaust fan installed on the top outer wall of the connecting plate, with connecting pipes connected to both outer walls of the exhaust fan. The ends of the two connecting pipes away from the exhaust fan are connected to the two outer walls of the same fixed plate. The fixed plate has multiple air outlets evenly distributed inside both sides, and two lenses are installed on the bottom outer wall of the fixed plate.

[0010] By activating the exhaust fan, airflow is guided from the connecting pipe to the air outlets on both sides of the fixing plate, ensuring that the airflow can be accurately blown out from the air outlets to clean the lens. At this time, by distributing multiple air outlets at equal intervals on both sides of the fixing plate, the airflow transmitted from the connecting pipe is evenly dispersed and blown out, thereby effectively blowing away the dust and impurities attached to the lens surface mounted on the bottom outer wall of the fixing plate. By cleaning the lens surface, the lens can acquire clear and accurate images, providing a reliable basis for the accurate detection of defects in the cast film.

[0011] As described above, a casting film defect detection device based on AI image recognition includes a workbench, with multiple guide rollers installed on the top outer wall of the workbench, lamp tubes fixed on the top outer wall of the workbench, two support columns installed on the top outer wall of the workbench, two alarm lights installed on one side outer wall of each support column, and a common connecting plate connecting the two support columns. The device also includes: an adjustment mechanism comprising two lead screws connected to both ends of the connecting plate, a fixed plate fixed to the bottom outer wall of the connecting plate, connecting plates connected to the inner walls of both sides of the fixed plate, multiple equally spaced connecting holes inside the connecting plate, a common connecting rod connected to the interior of both the fixed plate and the connecting plate, a fixed block fixed to one side outer wall of the fixed plate, a pin installed inside the fixed block, a spring sleeved on the outer wall of the pin, a limit piece connected to the end of the pin near the connecting plate, and a fixed plate fixed to the bottom outer wall of the connecting plate; and a cleaning mechanism located on the top outer wall of the connecting plate. The casting film defect detection device based on AI image recognition provided by this utility model has the technical effect of adjusting the height and angle of the detection device to avoid problems such as poor shooting angle and incomplete field of view coverage, as well as cleaning dust on the lens surface. Attached Figure Description

[0012] Figure 1 This is a schematic diagram of the overall structure of a casting film defect detection device based on AI image recognition proposed in this utility model.

[0013] Figure 2 This is a schematic diagram of the lead screw structure of a casting film defect detection device based on AI image recognition proposed in this utility model.

[0014] Figure 3 This is a schematic diagram of the connecting plate structure of a casting film defect detection device based on AI image recognition proposed in this utility model.

[0015] Figure 4 This is a schematic diagram of the fixed plate structure of a casting film defect detection device based on AI image recognition proposed in this utility model.

[0016] In the attached diagram: 1. Workbench; 2. Guide roller; 3. Support column; 4. Lamp tube; 5. Lead screw; 6. Control console; 7. Alarm light; 8. Connecting plate; 9. Fixing plate; 10. Exhaust fan; 11. Connecting pipe; 12. Fixing plate; 13. Connecting plate; 14. Fixing block; 15. Spring; 16. Pin; 17. Lens; 18. Air outlet. Detailed Implementation

[0017] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The components of the embodiments of this application described and marked in the accompanying drawings can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0018] This utility model discloses an AI image recognition-based casting film defect detection device, primarily applicable to situations where traditional AI image recognition-based casting film defect detection devices struggle to adjust lens height and detection angle according to the varying thicknesses and widths of the casting film. This makes it impossible to guarantee the optimal detection distance and angle between the lens and the casting film when inspecting casting films of different specifications, thus affecting the accuracy and reliability of the detection.

[0019] Reference Figure 1 , Figure 2 and Figure 3 A defect detection device for cast film based on AI image recognition includes a workbench 1, multiple guide rollers 2 installed on the top outer wall of the workbench 1, lamp tubes 4 fixed on the top outer wall of the workbench 1, two support columns 3 installed on the top outer wall of the workbench 1, two alarm lights 7 installed on one side outer wall of the support columns 3, and a common connecting plate 8 connecting the two support columns 3. The device also includes an adjustment mechanism: the adjustment mechanism includes two lead screws 5 connected to both ends of the connecting plate 8, and a fixing plate 12 fixed on the bottom outer wall of the connecting plate 8. Connecting plates 13 are connected to the inner walls on both sides of plate 2. Multiple connecting holes are evenly distributed inside the connecting plates 13. The same connecting rod is connected inside both the fixing plate 12 and the connecting plate 13. A fixing block 14 is fixed to one outer wall of the fixing plate 12. A pin 16 is installed inside the fixing block 14. A spring 15 is sleeved on the outer wall of the pin 16. A limit piece is connected to the end of the pin 16 near the connecting plate 13. A fixing plate 9 is fixed to the bottom outer wall of the connecting plate 13. Cleaning mechanism: The cleaning mechanism is located on the top outer wall of the connecting plate 8.

[0020] In this solution, rotating the lead screw 5 drives the connecting plate 8 to rise and fall smoothly in the vertical direction, thereby adjusting the height of the lens 17. By adjusting the detection distance, it can adapt to the detection requirements of cast films of different thicknesses and widths. At this time, connecting plates 13 are connected to the inner walls of both sides of the fixed plate 12. The connecting plates 13 can rotate relative to the fixed plate 12. Through multiple equally spaced connecting holes inside, the relative angle with the fixed plate 12 can be adjusted to meet the requirements of diversified detection angle adjustment. The fixed plate 12 and the connecting plate 13 are connected together by a connecting rod, thereby achieving the desired angle adjustment process. The fixed plate 12 and the connecting plate 13 work together. At this time, the fixed block 14 provides a mounting base for the internal pin 16, and the spring 15 sleeved on the outer wall of the pin 16 provides elastic force, so that the pin 16 tends to move towards the connecting plate 13. When the angle of the lens 17 is adjusted, the pin 16 is inserted into the connecting hole of the connecting plate 13, thereby locking the relative angle between the connecting plate 13 and the fixed plate 12, preventing the angle from shifting during the operation of the equipment. At the same time, the limiting piece prevents the pin 16 from completely dislodging from the connecting hole of the connecting plate 13, ensuring the continuous effectiveness of the locking function.

[0021] Both lead screws 5 pass through both ends of the connecting plate 8, and the height of the connecting plate 8 can be adjusted by rotating the lead screws 5.

[0022] Specifically, the fixed plate 12 has a fixing hole inside that matches the pin 16, and the connecting plate 13 is fixed by the cooperation between the pin 16 and the fixing hole.

[0023] The pin 16 passes through the interior of the connecting plate 13 and the fixing plate 12. The angle of the fixing plate 9 is adjusted by rotating the connecting plate 13. Then, the pin 16 is loosened to connect with the fixing hole, thereby fixing the connecting plate 13.

[0024] Reference Figure 1 , Figure 2 and Figure 4 In a preferred embodiment, the cleaning mechanism includes an exhaust fan 10 installed on the top outer wall of the connecting plate 8. Both sides of the exhaust fan 10 are connected to connecting pipes 11. The ends of the two connecting pipes 11 away from the exhaust fan 10 are connected to the two sides of the same fixed plate 9. The two sides of the fixed plate 9 are provided with a plurality of air outlets 18 distributed at equal intervals. Two lenses 17 are installed on the bottom outer wall of the fixed plate 9.

[0025] By activating the exhaust fan 10, airflow is guided from the connecting pipe 11 to the air outlets 18 on both sides of the fixing plate 9, thereby ensuring that the airflow can be accurately blown out from the air outlets 18 to clean the lens 17. At this time, by distributing multiple air outlets 18 at equal distances inside both sides of the fixing plate 9, the airflow transmitted from the connecting pipe 11 is evenly dispersed and blown out, thereby effectively blowing away the dust and impurities attached to the surface of the lens 17 installed on the bottom outer wall of the fixing plate 9. By cleaning the surface of the lens 17, the lens 17 can obtain clear and accurate images, providing a reliable basis for the accurate detection of defects in the cast film.

[0026] The outer wall of the air outlet 18 is equipped with a filter screen, which is used to filter the air blown out of the air outlet 18.

[0027] Reference Figure 1 and Figure 2 In a preferred embodiment, a control console 6 is mounted on one side outer wall of one of the support columns 3, and control buttons are provided on the top outer wall of the control console 6.

[0028] The AI ​​algorithm inside the console 6 extracts features from the image transmitted back from the lens 17 via the wireless network, thereby identifying whether there are defects in the cast film.

[0029] Working principle: In use, the cast film is first conveyed by the guide roller 2. Then, the lead screws 5 at both ends of the rotating connecting plate 8 are rotated, with both lead screws 5 passing through both ends of the connecting plate 8. This allows the lead screws 5 to drive the connecting plate 8 to rise and fall smoothly in the vertical direction. Components related to the testing equipment are fixed to the bottom outer wall of the connecting plate 8, thus adjusting the height of the lens 17 by raising and lowering the connecting plate 8. Connecting discs 13, which can rotate relative to the inner walls of the fixing disc 12 at the bottom of the connecting plate 8, are connected to the two inner walls of the fixing disc 12. The connecting discs 13 contain... The device has multiple equidistantly distributed connection holes, allowing the operator to rotate the connecting plate 13 to adjust its relative angle with the fixed plate 12, thereby achieving the effect of adjusting the detection angle. At this time, the fixing block 14 on one side of the outer wall of the fixed plate 12 provides an installation position for the pin 16, and the spring 15 sleeved on the outer wall of the pin 16 provides elastic force to the pin 16, causing the pin 16 to tend to move towards the connecting plate 13. When the angle of the lens 17 is adjusted, by releasing the pin 16, the elastic force provided by the compressed spring 15... When in use, the pin 16 is inserted into the connection hole of the connecting plate 13. Simultaneously, the fixing plate 12 has a fixing hole inside that matches the pin 16. The pin 16 passes through the interior of both the connecting plate 13 and the fixing plate 12, thereby locking the relative angle between the connecting plate 13 and the fixing plate 12 and preventing angle shift during equipment operation. Additionally, a limiting piece connected to the end of the pin 16 near the connecting plate 13 prevents the pin 16 from completely dislodging from the connection hole of the connecting plate 13. When dust is found on the surface of the lens 17, the exhaust fan 10 is activated to remove external dust. Air is drawn in and guided through the connecting pipe 11 to multiple equidistant air outlets 18 on the outer walls of both sides of the fixed plate 9. At this time, the airflow transmitted from the connecting pipe 11 is evenly dispersed and blown out through the multiple air outlets 18, thereby effectively blowing away the dust and impurities attached to the surface of the lens 17. At the same time, a filter screen is installed on the outer wall of the air outlet 18 to filter the blown air and prevent dust and other impurities from re-contaminating the lens 17. By cleaning the surface of the lens 17, it can be ensured that the lens 17 can obtain clear and accurate images.

[0030] The above description is merely a preferred embodiment of this utility model, but the protection scope of this utility model is not limited thereto. The substitutions may be replacements of some structures, devices, or method steps, or they may be complete technical solutions. Equivalent substitutions or modifications made based on the technical solution and inventive concept of this utility model should all be covered within the protection scope of this utility model.

Claims

1. A casting film defect detection device based on AI image recognition, comprising a workbench (1), wherein multiple guide rollers (2) are installed on the top outer wall of the workbench (1), lamp tubes (4) are fixed on the top outer wall of the workbench (1), two support columns (3) are installed on the top outer wall of the workbench (1), two alarm lights (7) are installed on one side outer wall of the support columns (3), and a common connecting plate (8) connects the two support columns (3), characterized in that, Also includes: Adjustment mechanism: The adjustment mechanism includes two lead screws (5) connected to both ends of the connecting plate (8). A fixed plate (12) is fixed to the bottom outer wall of the connecting plate (8). A connecting plate (13) is connected to the inner walls of both sides of the fixed plate (12). A plurality of equally spaced connecting holes are opened inside the connecting plate (13). The same connecting rod is connected inside the fixed plate (12) and the connecting plate (13). A fixed block (14) is fixed to one side outer wall of the fixed plate (12). A pin (16) is installed inside the fixed block (14). A spring (15) is sleeved on the outer wall of the pin (16). A limit piece is connected to one end of the pin (16) near the connecting plate (13). A fixed plate (9) is fixed to the bottom outer wall of the connecting plate (13). Cleaning mechanism: The cleaning mechanism is located on the top outer wall of the connecting plate (8).

2. The casting film defect detection device based on AI image recognition according to claim 1, characterized in that, Both lead screws (5) pass through both ends of the connecting plate (8).

3. The casting film defect detection device based on AI image recognition according to claim 1, characterized in that, The fixed plate (12) has a fixing hole inside that matches the pin (16).

4. The casting film defect detection device based on AI image recognition according to claim 3, characterized in that, The pin (16) passes through the interior of the connecting plate (13) and the fixing plate (12).

5. The casting film defect detection device based on AI image recognition according to claim 1, characterized in that, The cleaning mechanism includes an exhaust fan (10) installed on the top outer wall of the connecting plate (8). Both sides of the exhaust fan (10) are connected to connecting pipes (11). The ends of the two connecting pipes (11) away from the exhaust fan (10) are connected to the two sides of the same fixed plate (9). The fixed plate (9) has multiple air outlets (18) distributed at equal intervals on both sides. Two lenses (17) are installed on the bottom outer wall of the fixed plate (9).

6. The casting film defect detection device based on AI image recognition according to claim 5, characterized in that, A filter screen is installed on the outer wall of the air outlet (18).

7. The casting film defect detection device based on AI image recognition according to claim 1, characterized in that, One of the support columns (3) has a control console (6) installed on one side of its outer wall, and the top outer wall of the control console (6) is provided with control buttons.