Full-automatic silk-screen defect online detection mechanism

Abstract

The utility model relates to a full-automatic online detection mechanism for silk-screen defects, which belongs to the technical field of printing defect detection and comprises a base, a supporting part, a conveying part, a detection platform, a visual identification part, a mechanical grabbing part and a dustproof part, wherein the supporting part and the conveying part are respectively arranged on the base, the visual identification part is used for identifying product defects, and the mechanical grabbing part and the dustproof part are arranged on the base. The conveying part is used for moving printed products, a horn-shaped dustproof sleeve is installed on the visual recognition part, the radiating surface of the dustproof sleeve coincides with the largest circular radiating surface of a horn-shaped radiating area formed by the visual recognition part, and therefore the visual recognition part is separated from the outside through the horn-shaped dustproof sleeve. The problem that dust and other pollutants in the production environment can be diffused to the visual identification part, so that false detection and missing detection occur when the visual identification part performs defect detection on the printed product placed on the detection table, and the identification of the product by the visual mechanism is influenced is solved.

Description

Technical Field

[0001] This utility model belongs to the field of printing defect detection technology, specifically relating to a fully automatic online screen printing defect detection mechanism. Background Technology

[0002] Fully automated screen printing is a printing process that uses a screen as a template to transfer ink through the mesh onto the substrate, thereby printing images and text on the surface of the item. The entire screen printing process is completed by automated equipment with little or no human intervention.

[0003] For example, utility model patent CN216268117U discloses a fully automatic screen printing equipment. It adopts fully automatic control, which reduces labor costs and improves screen printing efficiency. At the same time, the equipment is equipped with a screen cleaning device, which can automatically clean the screen with high cleaning efficiency. In addition, the screen cleaning improves product quality. Furthermore, the equipment is also equipped with a detection device, which can perform full / random inspection of the screen printing of each product without stopping the production line, and sort out defective products, further improving the quality of the screen-printed products.

[0004] However, the above-mentioned patent has some problems in use: the ink, solvent and other materials used in the screen printing process may generate volatiles or particulate matter, and the production processes such as printing, cutting and grinding will also generate dust, debris and other pollutants. At this time, the dust and other pollutants in the production environment will spread to the vision mechanism, which may cause the vision mechanism to make false detections and missed detections when performing defect detection on the printed products placed on the inspection table, affecting the vision mechanism's recognition of the products. Therefore, a fully automatic screen printing defect online detection mechanism is proposed. Utility Model Content

[0005] To address the aforementioned problems in the existing technology, this utility model provides a fully automatic online screen printing defect detection mechanism. This solves the problem that dust and other pollutants in the existing production environment can spread to the vision mechanism, potentially causing false detections and missed detections when the vision mechanism performs defect detection on the printed products placed on the inspection table, thus affecting the vision mechanism's ability to identify products.

[0006] The objective of this utility model can be achieved through the following technical solution: a fully automatic online screen printing defect detection mechanism, comprising a base, a support part and a conveying part respectively disposed on the base, a detection platform, a visual recognition part for identifying product defects, a mechanical gripping part and a dustproof part disposed on the base, wherein the conveying part is used to move the printed product, the detection platform is disposed on the support part, the mechanical gripping part is used to transfer the product on the conveying part to the detection platform, the visual recognition part is disposed on the support part above the detection platform, and the dustproof part is sleeved on the visual recognition part, wherein the dustproof part is a horn-shaped dustproof sleeve, and the diameter of the radiating surface of the horn-shaped dustproof sleeve is adjustable, and the radiating surface of the dustproof sleeve matches the recognition path of the visual recognition part.

[0007] Preferably, the support part is an electric telescopic rod, and the visual recognition part is connected to the telescopic end of the electric telescopic rod.

[0008] Preferably, the conveying part is a conveyor belt, and a shock-absorbing component is provided between the conveyor belt and the base.

[0009] Preferably, the conveyor belt is provided with a plurality of limiting slots, the plurality of limiting slots are distributed at equal intervals, and the inner wall of the limiting slot is provided with an elastic limiting frame that matches the shape of the limiting slot, the elastic limiting frame being in contact with the product.

[0010] Preferably, the visual recognition unit includes a visual recognition system and a camera that is communicatively connected to the visual recognition system, and the dust cover is fitted onto the camera with a gap between the dust cover and the camera.

[0011] Preferably, the dustproof part includes a sleeve and several baffles. The sleeve has a trumpet-shaped structure. The end of the sleeve with a smaller diameter is fitted onto the camera. The side wall of the sleeve is provided with a sliding groove. Several baffles are slidably disposed in the sliding groove. The several baffles are distributed in a ring and are limited by friction with the inner wall of the sliding groove.

[0012] Preferably, the baffle is slidably disposed in the slide groove by means of electric sliders, and the plurality of electric sliders are communicatively connected to the vision recognition system, and the plurality of electric sliders move synchronously with the slide groove.

[0013] The beneficial effects of this utility model are as follows:

[0014] By installing a horn-shaped dust cover on the visual recognition unit, and ensuring that the radiating surface of the dust cover coincides with the largest circular radiating surface of the horn-shaped radiating area of ​​the visual recognition unit, the visual recognition unit is isolated from the outside world. This prevents dust and other pollutants from the production environment from spreading onto the visual recognition unit, which could lead to false or missed detections when the visual recognition unit performs defect detection on the printed products placed on the inspection table, thus affecting the visual mechanism's ability to recognize products. In addition, the diameter of the radiating surface of the horn-shaped dust cover is designed to be adjustable, so that the horn-shaped dust cover and the horn-shaped radiating area formed by the visual recognition unit can accommodate screen printing of different sizes. Attached Figure Description

[0015] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0016] Figure 1 This is a front view of the overall structure of this utility model;

[0017] Figure 2 This is a partial top view of the overall structure of this utility model;

[0018] Figure 3 This is a schematic diagram of the dustproof part of this utility model.

[0019] Explanation of key component symbols:

[0020] In the diagram: 1. Base; 2. Support unit; 3. Conveying unit; 4. Detection platform; 5. Vision recognition unit; 6. Mechanical gripping unit; 7. Dustproof unit; 71. Sleeve; 72. Baffle; 8. Printed product; 9. Limiting slot; 10. Elastic limiting frame; 11. Electric slider. Detailed Implementation

[0021] To further illustrate the technical means and effects adopted by this utility model in order to achieve the intended utility model purpose, the following detailed description of the specific implementation methods, structure, features and effects of this utility model is provided in conjunction with the accompanying drawings and preferred embodiments.

[0022] Please see Figure 1 - Figure 3This embodiment provides a fully automatic online screen printing defect detection mechanism, including a base 1, a support part 2 and a conveyor part 3 respectively disposed on the base 1, a detection platform 4, a vision recognition part 5 for identifying product defects, a mechanical gripping part 6 and a dustproof part 7 disposed on the base 1. The conveyor part 3 is a conveyor belt, and a shock absorber, which is a spring, is disposed between the conveyor belt and the base 1. The conveyor belt is driven by an external motor. Since the conveyor belt will vibrate during its movement, the vibration force is transmitted to the base 1, which may cause the vision recognition part 5 to vibrate when identifying product defects, affecting the recognition effect. Therefore, a shock absorber is disposed between the conveyor belt and the base 1 to reduce the transmission of vibration. The conveyor part 3 is used to move the printed product 8. The detection platform 4 is disposed on the support part 2. The mechanical gripping part 6 is used to transfer the product on the conveyor part 3 to the detection platform 4. The vision recognition part 5 is disposed on the support part 2 above the detection platform 4. The dustproof part 7 is sleeved on the vision recognition part 5. The dustproof part 7 is a trumpet-shaped dustproof cover, and the radiating surface of the trumpet-shaped dustproof cover is... The diameter is adjustable, and the radiating surface of the dust cover matches the recognition path of the visual recognition unit 5. Here, the radiating surface of the dust cover refers to the larger end of the flared dust cover. When the visual recognition unit 5 recognizes, it forms a flared radiating area. The flared dust cover needs to match the flared radiating area formed by the visual recognition unit 5 to ensure that the radiating surface of the dust cover coincides with the largest circular radiating surface of the flared radiating area formed by the visual recognition unit 5. This ensures that the dust cover can effectively prevent dust while not interfering with the visual recognition unit 5. In addition, the diameter of the flared dust cover is adjustable to accommodate screen printing of different sizes. Furthermore, the fully automatic screen printing defect online detection mechanism is externally connected to a control system. The control system can control the conveyor unit 3 to move the printed product 8, and the control system also controls the mechanical gripper unit 6 to transfer the product on the conveyor unit 3 to the detection platform 4. Then, the visual recognition unit 5 is controlled to identify product defects, and the mechanical gripper unit 6 picks out the defective products. The remaining good products are conveyed to the next step of the process.

[0023] The detection devices installed on current fully automated screen printing equipment for detecting defective products have some problems during use. For example, the inks, solvents and other materials used in the screen printing process may generate volatiles or particulate matter, and the printing, cutting and grinding processes also generate dust, debris and other pollutants. At this time, the dust and other pollutants in the production environment will spread to the vision mechanism, which may cause the vision mechanism to make false detections and missed detections when performing defect detection on the printed products 8 placed on the inspection table, thus affecting the vision mechanism's recognition of the products.

[0024] To address the aforementioned issues, in this embodiment, a horn-shaped dust cover is installed on the visual recognition unit 5, with the radiating surface of the dust cover coinciding with the largest circular radiating surface of the horn-shaped radiating area formed by the visual recognition unit 5. This isolates the visual recognition unit 5 from the outside environment, preventing dust and other contaminants from the production environment from spreading onto the visual recognition unit 5. This would prevent false or missed detections when the visual recognition unit 5 performs defect detection on the printed product 8 placed on the inspection table, thus affecting the visual mechanism's ability to recognize the product. Furthermore, the diameter of the radiating surface of the horn-shaped dust cover is designed to be adjustable, allowing the horn-shaped dust cover and the horn-shaped radiating area formed by the visual recognition unit 5 to accommodate screen printing of different sizes.

[0025] Furthermore, in actual use, when products are conveyed forward by the conveyor belt, they need to be gripped by the mechanical gripper 6 and placed on the inspection platform 4. The mechanical gripper 6 is actually a robotic arm. However, due to the vibration of the conveyor belt, the product position may shift, causing the robotic arm to miss or damage products during gripping. To solve this problem, in one embodiment, the conveyor belt is provided with several limiting slots 9, which are evenly distributed. The inner wall of each limiting slot 9 is provided with an elastic limiting frame 10 that matches the shape of the limiting slot 9. The elastic limiting frame 10 fits the product. The design of the elastic limiting frame 10 allows the limiting slot 9 to adapt to products of various sizes. 9 ensures that the product will not shift due to vibration when the conveyor belt moves. The depth of the limiting groove 9 here is only 1-2cm. A depth of 1cm or 2cm can ensure that the product will not shift due to vibration when the conveyor belt moves, avoiding the possibility of missing or damaging the product when the robot arm is grasping it. It can also prevent the limiting groove 9 from touching the robot arm and causing interference when the robot arm is grasping it. In addition, the vision recognition unit 5 includes a vision recognition system and a camera that communicates with the vision recognition system. The vision recognition system communicates with the control system. The dust cover is placed on the camera. In order to ensure that the dust cover only serves the purpose of dust protection and does not interfere with the camera, a gap needs to be left between the dust cover and the camera.

[0026] It is worth mentioning that the size and shape of screen-printed products may vary. When dealing with products of different sizes, adjusting the distance between the camera and the product ensures that the camera can capture a complete image of the product, thereby enabling comprehensive defect detection of the entire product surface. For this purpose, the support part 2 is an electric telescopic rod, and the visual recognition part 5 is connected to the telescopic end of the electric telescopic rod. The electric telescopic rod is communicatively connected to the control system. By adjusting the electric telescopic rod, the distance between the camera and the product is adjusted. However, when the distance between the camera and the product changes, the largest circular radiation surface of the trumpet-shaped radiation area formed by the visual recognition part 5 also changes. To ensure that the radiation surface of the dust cover coincides with the largest circular radiation surface of the trumpet-shaped radiation area formed by the visual recognition part 5, in one embodiment, the dust cover 7 includes a sleeve 71 and several baffles 72. The sleeve 71 has a trumpet-shaped structure, with the smaller diameter end of the sleeve 71 fitted onto the camera. A groove is provided on the side wall of the sleeve 71, and several baffles 72 are slidably disposed within the groove. The baffles 72 are arranged in a ring shape and are limited by friction against the inner wall of the groove. The baffles 72 are actually inclined. Because it needs to match the flared sleeve 71, the depth of the groove is slightly greater than the thickness of the baffle 72. This ensures that the baffle 72 can slide along the groove, and that after sliding to the appropriate position, the friction between the groove and the baffle 72 prevents the baffle 72 from sliding along the groove. Furthermore, to ensure that after several baffles 72 have moved, the radiating surface of the dust cover and the largest circular radiating surface of the flared radiation area formed by the visual recognition unit 5 can better overlap, the baffles 72 are slidably mounted in the groove by electric sliders 11. Several electric sliders 11 and the visual recognition unit 5... The visual recognition system is connected to the communication system. Several electric sliders 11 move synchronously within the slide. The visual recognition system controls the movement of the electric sliders 11 to ensure that the electric sliders 11 move to the appropriate position so that the radiation surface of the dust cover and the largest circular radiation surface of the horn-shaped radiation area formed by the visual recognition unit 5 can better overlap. It should be noted that several baffles 72 distributed in a ring form a nearly circular area at the horn-shaped radiation surface. There is a gap between two adjacent baffles 72. This gap only needs to ensure that it does not interfere with the movement of the two adjacent baffles 72.

[0027] The above description is merely a preferred embodiment of the present utility model and is not intended to limit the present utility model in any way. Although the present utility model has been disclosed above with reference to a preferred embodiment, it is not intended to limit the present utility model. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present utility model. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present utility model without departing from the scope of the present utility model shall still fall within the scope of the present utility model.

Claims

1. A fully automated online defect detection mechanism for screen printing, characterized in that, The device includes a base, a support section and a conveying section respectively mounted on the base, a detection platform, a visual recognition section for identifying product defects, a mechanical gripping section and a dustproof section mounted on the base. The conveying section is used to move the printed product. The detection platform is mounted on the support section. The mechanical gripping section is used to transfer the product from the conveying section to the detection platform. The visual recognition section is mounted on the support section above the detection platform. The dustproof section is fitted onto the visual recognition section. The dustproof section is a horn-shaped dustproof cover, and the diameter of the radiating surface of the horn-shaped dustproof cover is adjustable. The radiating surface of the dustproof cover matches the recognition path of the visual recognition section.

2. The fully automated online defect detection mechanism for screen printing according to claim 1, characterized in that, The support part is an electric telescopic rod, and the visual recognition part is connected to the telescopic end of the electric telescopic rod.

3. The fully automated online defect detection mechanism for screen printing according to claim 1, characterized in that, The conveying part is a conveyor belt, and a shock-absorbing component is provided between the conveyor belt and the base.

4. The fully automated online defect detection mechanism for screen printing according to claim 3, characterized in that, The conveyor belt is provided with a number of limiting slots, which are evenly distributed. The inner wall of the limiting slot is provided with an elastic limiting frame that matches the shape of the limiting slot. The elastic limiting frame fits the product.

5. The fully automated online defect detection mechanism for screen printing according to claim 1, characterized in that, The visual recognition unit includes a visual recognition system and a camera that is communicatively connected to the visual recognition system. The dust cover is fitted over the camera, and a gap is left between the dust cover and the camera.

6. The fully automated online defect detection mechanism for screen printing according to claim 5, characterized in that, The dustproof part includes a sleeve and several baffles. The sleeve has a trumpet-shaped structure. The end of the sleeve with a smaller diameter is fitted onto the camera. The side wall of the sleeve is provided with a sliding groove. Several baffles are slidably disposed in the sliding groove. The several baffles are distributed in a ring and are limited by friction with the inner wall of the sliding groove.

7. The fully automated online defect detection mechanism for screen printing according to claim 6, characterized in that, The baffle is slidably disposed in the slide groove by means of electric sliders. The electric sliders are communicatively connected to the vision recognition system and move synchronously with the slide groove.

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