On-line defect detection system for die cutting part

Abstract

The utility model provides a die cutting part defect on-line detection system which comprises a detection sorting assembly, and the detection sorting assembly comprises a conveyor, a detection cover, an industrial camera, a lens, an image processing module, a controller, a supporting frame, a first electric cylinder, an air suction pump, a suction nozzle and a defective product storage box. And the front part of the upper surface of the conveyor is fixedly connected with a detection cover. Compared with traditional manual sampling inspection, the machine vision technology is adopted for die cutting part defect detection, the detection efficiency is high, precision is good, influences of subjective factors of detection personnel are avoided, the detection result is more reliable and stable, detected defective products can be automatically sorted, the situation that the defective products enter subsequent stations and need to be manually sorted is avoided, and the production efficiency is improved. Therefore, the labor cost is saved, the production efficiency is improved, meanwhile, through the arrangement of various sensors such as the pressure sensor, the distance sensor and the photoelectric sensor, the detection and sorting process can be accurately controlled, and the automation degree and the intelligence degree of the system are improved.

Description

Technical Field

[0001] The utility model relates to the technical field of die-cut part detection, and particularly relates to an on-line detection system for die-cut part defects. Background Technique

[0002] In the production process of die-cut parts, due to the influence of factors such as raw materials, production processes, and equipment, die-cut parts may have defects such as dimensional deviation, shape deformation, edge burrs, indentations, scratches, missed cuts, and overcuts. These defects not only affect the appearance quality and service performance of die-cut parts, but also may lead to an increase in the unqualified rate of products, an increase in production costs, a decrease in production efficiency, and the market competitiveness of enterprises;

[0003] The traditional method for detecting die-cut part defects is mainly manual sampling inspection. This method not only has low detection efficiency and poor detection accuracy, but is also easily affected by the subjective factors of inspectors, resulting in low reliability and stability of detection results. With the development of machine vision technology, die-cut part defect detection systems based on machine vision have gradually been applied. However, the existing die-cut part defect detection systems cannot automatically sort the detected defective products, resulting in the need for manual sorting of defective products when they enter subsequent workstations, which not only increases labor costs but also reduces production efficiency. Therefore, an on-line detection system for die-cut part defects is proposed. Content of the Utility Model

[0004] In view of this, the utility model hopes to provide an on-line detection system for die-cut part defects to solve or alleviate the technical problems existing in the prior art and at least provide a beneficial option.

[0005] The technical solution of the embodiment of the utility model is realized as follows: An on-line detection system for die-cut part defects includes a detection and sorting component, and the detection and sorting component includes a conveyor, a detection cover, an industrial camera, a lens, an image processing module, a controller, a support frame, a first electric cylinder, a suction pump, a suction nozzle, a support, a second electric cylinder, and a defective product storage box;

[0006] The front part of the upper surface of the conveyor is fixedly connected with a detection cover. The outer side of the center of the upper surface of the detection cover is fixedly connected with an industrial camera. A lens is arranged at the center of the lower surface of the industrial camera. The bottom of the lens penetrates through the center of the upper surface of the detection cover. An image processing module is arranged in the middle of the upper surface of the industrial camera. The output end of the industrial camera is electrically connected to the input end of the image processing module. The middle part of one side of the detection cover is fixedly connected with a controller. The output end of the image processing module is electrically connected to the input end of the controller. The top of the rear surface of the detection cover is fixedly connected with a support frame. The inner side wall of the support frame is fixedly connected with a first electric cylinder. The output end of the first electric cylinder is fixedly connected with a suction pump. A plurality of suction nozzles are arranged at the bottom of the suction pump. The rear part of the upper surface of the conveyor is fixedly connected with a second electric cylinder through a bracket. The output end of the second electric cylinder is fixedly connected with a defective product storage box. The input ends of the conveyor, the first electric cylinder, the suction pump and the second electric cylinder are all electrically connected to the output end of the controller.

[0007] Further preferably, a pressure sensor is arranged at the center of the front surface of the defective product storage box. The front surface of the pressure sensor is attached to the lower part of the rear surface of the detection cover. The output end of the pressure sensor is electrically connected to the input end of the controller.

[0008] Further preferably, sliding strips are fixedly connected to both sides of the lower surface of the defective product storage box. Sliding grooves are formed in both sides of the upper surface of the conveyor near the rear part of the detection cover. The outer side wall of the sliding strip is slidably connected to the inner side wall of the sliding groove.

[0009] Further preferably, a supplementary light is fixedly connected to the outer side of the inner top wall of the detection cover. The input end of the supplementary light is electrically connected to the output end of the controller.

[0010] Further preferably, a touch display screen is arranged on one side of the controller away from the detection cover.

[0011] Further preferably, photoelectric sensors are arranged in the middle of both sides of the inner side wall of the detection cover. The output ends of the photoelectric sensors are electrically connected to the input end of the controller.

[0012] Further preferably, a distance sensor is arranged at the front part of the lower surface of the support frame near the first electric cylinder. The output end of the distance sensor is electrically connected to the input end of the controller.

[0013] Further preferably, frames are fixedly connected to the four corners of the bottom of the conveyor.

[0014] Due to the adoption of the above technical solutions in the embodiments of the present invention, it has the following advantages:

[0015] The utility model detects defects of die-cut parts by using machine vision technology. Compared with traditional manual sampling inspection, it has high detection efficiency, good accuracy, is not affected by the subjective factors of inspectors, the detection results are more reliable and stable, and it can automatically sort out defective products, avoiding the need for manual sorting of defective products to enter subsequent workstations, thus saving labor costs and improving production efficiency. At the same time, through the setting of various sensors such as pressure sensors, distance sensors and photoelectric sensors, the detection and sorting processes can be accurately controlled, and the automation and intelligence levels of the system can be improved.

[0016] The above summary is only for the purpose of the specification and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments and features described above, further aspects, embodiments and features of the utility model will become apparent by reference to the drawings and the following detailed description. Brief Description of the Drawings

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0018] Figure 1 It is a structural diagram of a perspective of the utility model;

[0019] Figure 2 It is a structural diagram of another perspective of the utility model;

[0020] Figure 3 It is a structural diagram of a partial cross-section of the detection cover of the utility model;

[0021] Figure 4 It is a structural diagram of the defective product storage box and the sliding bar of the utility model.

[0022] Reference numerals: 1, detection and sorting assembly; 11, conveyor; 12, detection cover; 13, industrial camera; 14, lens; 15, image processing module; 16, controller; 17, support frame; 18, first electric cylinder; 19, suction pump; 20, suction nozzle; 21, bracket; 22, second electric cylinder; 23, defective product storage box; 24, pressure sensor; 25, sliding bar; 26, sliding groove; 27, fill light; 28, touch display screen; 29, photoelectric sensor; 30, distance sensor; 31, frame. Detailed Description of the Embodiments

[0023] In the following, only some exemplary embodiments are briefly described. As those skilled in the art will appreciate, the described embodiments may be modified in various ways without departing from the spirit or scope of the present invention. Therefore, the drawings and descriptions are considered to be exemplary and non-restrictive in nature.

[0024] The embodiments of the present utility model are described in detail below with reference to the accompanying drawings.

[0025] like Figures 1 - 4 As shown, the embodiment of the utility model provides an online detection system for die-cutting defects, including a detection and sorting component 1, the detection and sorting component 1 includes a conveyor 11, a detection cover 12, an industrial camera 13, a lens 14, an image processing module 15, a controller 16, a support frame 17, a first electric cylinder 18, an air pump 19, a suction nozzle 20, a bracket 21, a second electric cylinder 22 and a defective product storage box 23;

[0026] A detection cover 12 is fixedly connected to the front of the upper surface of the conveyor 11, an industrial camera 13 is fixedly connected to the outer side of the center of the upper surface of the detection cover 12, a lens 14 is arranged at the center of the lower surface of the industrial camera 13, the bottom of the lens 14 passes through the center of the upper surface of the detection cover 12, an image processing module 15 is arranged in the middle of the upper surface of the industrial camera 13, the output end of the industrial camera 13 is electrically connected to the input end of the image processing module 15, a controller 16 is fixedly connected to the middle of one side of the detection cover 12, the output end of the image processing module 15 is electrically connected to the input end of the controller 16, a support frame 17 is fixedly connected to the top of the rear surface of the detection cover 12, and the inner side wall of the support frame 17 is fixedly connected to the first An electric cylinder 18, an output end of the first electric cylinder 18 is fixedly connected to an air pump 19, a plurality of suction nozzles 20 are arranged at the bottom of the air pump 19, a second electric cylinder 22 is fixedly connected to the rear of the upper surface of the conveyor 11 through a bracket 21, an output end of the second electric cylinder 22 is fixedly connected to a defective product storage box 23, the input ends of the conveyor 11, the first electric cylinder 18, the air pump 19 and the second electric cylinder 22 are all electrically connected to the output end of the controller 16, the image of the die-cut part is captured by the lens 14 on the industrial camera 13, and transmitted to the image processing module 15, so that the image processing module 15 analyzes and processes the image to identify defects on the die-cut part (such as scratches, breakages, misalignment, etc.).

[0027] In one embodiment, specifically: a pressure sensor 24 is provided at the center of the front surface of the defective product storage box 23, the front surface of the pressure sensor 24 is fitted and connected to the lower part of the rear surface of the detection cover 12, the output end of the pressure sensor 24 is electrically connected to the input end of the controller 16, and when the defective product storage box 23 moves to contact the detection cover 12, the squeezing pressure sensor 24 sends a signal to the controller 16, so that the controller 16 automatically controls the suction pump 19 to release the sucked-up defective products.

[0028] In one embodiment, specifically: sliding bars 25 are fixedly connected to both sides of the lower surface of the defective product storage box 23. Sliding grooves 26 are formed on both sides of the upper surface of the conveyor 11 near the rear of the detection cover 12. The outer side walls of the sliding bars 25 are slidably connected to the inner side walls of the sliding grooves 26. By sliding the sliding bars 25 at the bottom of the defective product storage box 23 inside the sliding grooves 26, the sliding bars 25 are limited, thereby increasing the stability of the movement of the defective product storage box 23.

[0029] In one embodiment, specifically: a supplementary light lamp 27 is fixedly connected to the outer side of the inner top wall of the detection cover 12. The input end of the supplementary light lamp 27 is electrically connected to the output end of the controller 16. Supplementary light illumination is provided by the supplementary light lamp 27, thereby providing sufficient light conditions for the industrial camera 13 to ensure clear captured images.

[0030] In one embodiment, specifically: a touch display screen 28 is provided on one side of the controller 16 away from the detection cover 12. It is convenient to set detection parameters and control the operation of the entire device through the touch display screen 28 on the controller 16.

[0031] In one embodiment, specifically: photoelectric sensors 29 are provided in the middle of both sides of the inner side wall of the detection cover 12. The output ends of the photoelectric sensors 29 are electrically connected to the input end of the controller 16. It is convenient to monitor the position of the die-cutting parts to be detected in real time through the photoelectric sensors 29 inside the detection cover 12.

[0032] In one embodiment, specifically: a distance sensor 30 is provided on the lower surface of the support frame 17 near the front of the first electric cylinder 18. The output end of the distance sensor 30 is electrically connected to the input end of the controller 16. By monitoring the moving distance of the suction pump 19 through the distance sensor 30, it is convenient to monitor the moving distance of the defective parts adsorbed by the suction nozzle 20 at the bottom of the suction pump 19.

[0033] In one embodiment, specifically: frames 31 are fixedly connected to the four corners of the bottom of the conveyor 11. By supporting the conveyor 11 through the frames 31, the stability of the entire device is increased.

[0034] When the utility model is in operation: the conveyor 11 conveys the die-cut parts to be detected one by one under the detection cover 12. When the photoelectric sensors 29 on both sides inside the detection cover 12 detect that the die-cut part to be detected enters the detection area, at this time, the conveyor 11 stops conveying automatically, and the fill light 27 is turned on to provide sufficient lighting conditions for the industrial camera 13 to ensure clear captured images. The industrial camera 13 captures the images of the die-cut parts through the lens 14 and transmits the image data to the image processing module 15. The image processing module 15 analyzes and processes the images to identify the defects (such as scratches, breakages, misalignments, etc.) on the die-cut parts. The image processing module 15 sends the processing results (including information such as defect type, position, size, etc.) to the controller 16. The controller 16 determines whether the die-cut part is a defective product according to the preset determination criteria, and automatically starts the conveyor 11 to convey the detected die-cut part under the suction pump 19. At the same time, the next die-cut part to be detected is conveyed into the detection area inside the detection cover 12 for detection. When the controller 16 determines that the detected die-cut part is a good product, it continues to be conveyed to the next station for subsequent processing. When the controller 16 determines that the detected die-cut part is a defective product, the controller 16 controls the first electric cylinder 18 to work, pushing the suction pump 19 and its connected multiple suction nozzles 20 close to the defective product. The suction pump 19 is started, and the defective product is adsorbed through the suction nozzles 20. Then, the first electric cylinder 18 moves in the reverse direction to lift the defective product. After the distance sensor 30 monitors that the defective product has been lifted to the preset distance, the controller 16 starts the second electric cylinder 22 to push the defective product storage box 23 forward to be under the lifted defective product. When the pressure sensor 24 on the defective product storage box 23 touches the detection cover 12, the controller 16 automatically controls the suction pump 19 to release the lifted defective product, so that the defective product falls into the defective product storage box 23. Then, the controller 16 controls the second electric cylinder 22 to drive the defective product storage box 23 to reset.

[0035] The above is only the specific implementation manner of the utility model, but the protection scope of the utility model is not limited thereto. Any person skilled in the art within the technical scope disclosed by the utility model can easily think of various changes or substitutions, and these should all be covered within the protection scope of the utility model. Therefore, the protection scope of the utility model should be subject to the protection scope of the claimed rights.

Claims

1. An online detection system for die-cutting defects, characterized in that: The invention comprises a detection and sorting component (1), wherein the detection and sorting component (1) comprises a conveyor (11), a detection cover (12), an industrial camera (13), a lens (14), an image processing module (15), a controller (16), a support frame (17), a first electric cylinder (18), an air suction pump (19), a suction nozzle (20), a bracket (21), a second electric cylinder (22) and a defective product storage box (23); A detection cover (12) is fixedly connected to the front of the upper surface of the conveyor (11); an industrial camera (13) is fixedly connected to the outer side of the center of the upper surface of the detection cover (12); a lens (14) is arranged at the center of the lower surface of the industrial camera (13); the bottom of the lens (14) passes through the center of the upper surface of the detection cover (12); an image processing module (15) is arranged in the middle of the upper surface of the industrial camera (13); the output end of the industrial camera (13) is electrically connected to the input end of the image processing module (15); a controller (16) is fixedly connected to the middle of one side of the detection cover (12); the output end of the image processing module (15) is electrically connected to the input end of the controller (16). The top of the rear surface of the detection cover (12) is fixedly connected to a support frame (17), the inner wall of the support frame (17) is fixedly connected to a first electric cylinder (18), the output end of the first electric cylinder (18) is fixedly connected to an air suction pump (19), and a plurality of suction nozzles (20) are arranged at the bottom of the air suction pump (19), the rear part of the upper surface of the conveyor (11) is fixedly connected to a second electric cylinder (22) through a bracket (21), the output end of the second electric cylinder (22) is fixedly connected to a defective product storage box (23), and the input ends of the conveyor (11), the first electric cylinder (18), the air suction pump (19) and the second electric cylinder (22) are all electrically connected to the output end of the controller (16).

2. The die-cutting defect online detection system according to claim 1, characterized in that: A pressure sensor (24) is provided at the center of the front surface of the defective product storage box (23); the front surface of the pressure sensor (24) is closely connected to the lower part of the rear surface of the detection cover (12); and the output end of the pressure sensor (24) is electrically connected to the input end of the controller (16).

3. The die-cutting defect online detection system according to claim 1, characterized in that: Sliding bars (25) are fixedly connected to both sides of the lower surface of the defective product storage box (23), and sliding grooves (26) are provided on both sides of the upper surface of the conveyor (11) near the rear of the detection cover (12), and the outer wall of the sliding bar (25) is slidably connected to the inner wall of the sliding groove (26).

4. The die-cutting defect online detection system according to claim 1, characterized in that: A fill light (27) is fixedly connected to the outer side of the inner top wall of the detection cover (12), and an input end of the fill light (27) is electrically connected to an output end of the controller (16).

5. The die-cutting defect online detection system according to claim 4, characterized in that: A touch display screen (28) is provided on a side of the controller (16) away from the detection cover (12).

6. The die-cutting defect online detection system according to claim 1, characterized in that: Photoelectric sensors (29) are provided at the middle of both sides of the inner wall of the detection cover (12), and the output end of the photoelectric sensor (29) is electrically connected to the input end of the controller (16).

7. The die-cutting defect online detection system according to claim 1, characterized in that: A distance sensor (30) is provided on the lower surface of the support frame (17) near the front of the first electric cylinder (18), and the output end of the distance sensor (30) is electrically connected to the input end of the controller (16).

8. The die-cutting defect online detection system according to claim 1, characterized in that: The four bottom corners of the conveyor (11) are fixedly connected to a frame (31).

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