Automatic detection device

Abstract

The utility model provides an automatic detection device, which is used for detecting appearance defects on a workpiece and comprises a conveyor belt, a detection device, a detection device and a control device, and is characterized in that the conveyor belt is used for bearing and conveying the workpiece to be detected; the mounting table is arranged close to the conveying belt, and the blowing part is movably arranged on the mounting table so as to blow off foreign matters on the workpieces; the plurality of CCD cameras are respectively arranged on the mounting table in a manner of being positioned above the conveying belt, and are used for shooting the workpieces and sending shot images; the automatic detection module comprises a driving module connected with the conveying belt, an image acquisition module connected with the CCD camera and a detection module, the image acquisition module receives images from the CCD camera and sends the images to the detection module, and the detection module judges whether the workpieces have appearance defects or not based on the images.

Description

Technical Field

[0001] The utility model relates to the technical field of detection devices, in particular to an automatic detection device for detecting the appearance defects of a display panel. Background Art

[0002] In the past, the production of many products or workpieces requires appearance inspection to avoid appearance defects of the products or workpieces. At present, many enterprises use automatic detection devices based on machine vision detection to replace manual vision detection to improve the detection efficiency. Generally speaking, an automatic detection device for detecting appearance defects can detect the appearance of a product to be detected (such as a display panel, etc.) through a vision detection module. For example, the product is photographed by an image capturing device (such as a CCD camera), the detected part is converted into an image signal, and then according to the information such as pixel distribution, brightness, and contrast, it is converted into a digital signal. By performing various operations on these signals to extract the features of the target, and then according to the discrimination result to confirm whether there are defects in the appearance of the product.

[0003] For example, for the detection of a display panel based on machine vision detection, effective detection and distinction of appearance defects such as crack, broken, chip, scratch, burr, etc. can be achieved.

[0004] However, if there are filaments or water droplets attached to the display panel, especially on the side edge of the display panel, from the perspective of visual observation, the attached filaments are similar to the crack phenomenon, and the attached water droplets are similar to the chipping phenomenon. Therefore, the vision detection module often misjudges that there are cracks or chipping phenomena in the display panel, resulting in being detected as abnormal, and thus being identified as having appearance defects and requiring recheck, resulting in a decrease in detection efficiency. Summary of the Utility Model

[0005] The utility model is completed in view of the above problems, and its purpose is to provide an automatic detection device that can reduce false detection and improve detection efficiency.

[0006] The automatic detection device related to the present utility model is used to detect the appearance defects on a workpiece, and it includes: a conveyor belt for carrying and conveying the workpiece to be detected; a mounting table disposed close to the conveyor belt; a blowing member movably disposed on the mounting table to blow off foreign matters on the workpiece; a plurality of CCD cameras respectively disposed on the mounting table above the conveyor belt for photographing the workpiece and sending the captured images; and an automatic detection module including a driving module connected to the conveyor belt, an image acquisition module connected to the CCD cameras, and a detection module. The image acquisition module receives the images from the CCD cameras and sends the images to the detection module, and the detection module determines whether there are appearance defects on the workpiece based on the images.

[0007] Preferably, the blowing member includes a connecting portion and a blowing portion connected to the connecting portion, and the connecting portion is movably mounted on the mounting table.

[0008] Preferably, the automatic detection module further includes a connecting module connected to the connecting portion, and the automatic detection module uses the connecting module to control the connecting portion to adjust the distance and angle of the blowing portion relative to the workpiece when the blowing member blows air on the workpiece.

[0009] Preferably, the blowing member further includes a pneumatic control portion connected to the connecting portion to control the air pressure of the blown air flow.

[0010] Preferably, the blowing portion includes a base spirally connected to the connecting portion and a needle-shaped air nozzle in the shape of a slender tube, and one end of the needle-shaped air nozzle is sleeved inside the base.

[0011] Preferably, the length of the needle-shaped air nozzle is 5.4 mm or more.

[0012] Preferably, the inner radius of the needle-shaped air nozzle is 0.5 mm.

[0013] Preferably, the automatic detection device further includes an induction sensor, and the automatic detection device controls the opening and closing of the blowing member and the CCD cameras based on whether the induction sensor detects the workpiece.

[0014] The automatic detection device further includes an induction sensor, and the automatic detection device controls the opening and closing of the blowing member and the CCD cameras based on whether the induction sensor detects the workpiece.

[0015] According to the present utility model, an automatic detection device capable of reducing false detections and improving detection efficiency can be provided. Description of the Drawings

[0016] Figure 1It is a conceptual schematic diagram of the automatic detection device of the present utility model.

[0017] Figure 2 It is a structural schematic diagram of the blowing part of the present utility model.

[0018] Figure 3 It is a framework diagram of the automatic detection device of the present utility model. Specific implementation manners

[0019] Hereinafter, in conjunction with the accompanying drawings in the embodiments of the present utility model, the technical solutions in the embodiments of the present utility model will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present utility model, rather than all the embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present utility model.

[0020] As Figure 1 shown, the present utility model provides an automatic detection device 300, which includes a conveyor belt 100, a mounting table 10 disposed near the conveyor belt 100, and an automatic detection module 200. Among them, the conveyor belt 100 is driven by a conveyor belt driving part (not shown) through a driving module 210 to carry and convey a plurality of workpieces (for example, display panels) 90 to be detected. At positions corresponding to the mounting table 10 on the conveyor belt 100, there are successively provided a detection area A1, a re-inspection area A2, and a recovery area A3. The recovery area A3 is connected to the re-inspection area A2 through a moving frame 101. The mounting table 10 is disposed close to the conveyor belt 100 and is provided with a blowing member 30 and a plurality of CCD cameras 50. When the workpiece 90 is conveyed into the detection area A1, the blowing member 30 can blow air at the workpiece. The plurality of CCD cameras 50 are located above the conveyor belt 100. When the workpiece 90 is conveyed into the detection area A1, they are aligned with the four sides of the workpiece 90 to photograph the workpiece 90.

[0021] In this embodiment, the blowing member 30 includes a connecting portion (not shown) movably mounted on the mounting table 10 and a blowing portion 33 connected to the connecting portion. Refer to Figure 2, the entire blowing part 33 is in the shape of a hollow circular tube. The blowing part 33 includes a base 331 that is spirally connected to the connecting part and a needle-shaped nozzle 333 that is in the shape of a slender tube. The base 331 of the blowing part 33 includes a threaded connection part 3311 and a sleeve part 3313. The threaded connection part 3311 is in the shape of an external hexagonal screw, but it can also be of other shapes as long as it can be threadedly connected to the connecting part. The sleeve part 3313 is tubular to fix the needle-shaped nozzle 333 with one end sleeved inside it. The inner radius of the needle-shaped nozzle 333 is set to 0.5 mm, for example, and the length is set to 54 mm or more, for example. By setting the blowing part 33 to a needle-shaped tubular structure, due to the small radius of the needle-shaped nozzle 333, foreign matters on the workpiece 90, such as hair filaments and water droplets, can be blown away with a relatively large air pressure. Moreover, during the blowing process, the displacement of the workpiece 90 will not occur, so that the subsequent captured images will not be abnormal.

[0022] In addition, the blowing member 30 includes a pneumatic control part (not shown). The pneumatic control part is connected to the connecting part to control the air pressure of the air flow blown out from the blowing part 33. Thus, the air flow area can be changed, that is, the air pressure of the blown air flow can be adjusted. For example, the air pressure can be reduced to the extent that the foreign matters can be blown away from the detection area, or the hair filaments sticking to the side of the workpiece 90 and extending towards the edge can be blown outside the frame, so that it can be avoided being misdetected as having a crack defect. Or, the water droplets sticking to the side of the workpiece 90 can be blown outside the frame or dispersed, and it can also be avoided being misdetected as having a chipping defect. Thus, by performing such blowing and cleaning before photographing the workpiece 90, the false detection rate can be reduced and the detection efficiency can be improved with extremely low power consumption.

[0023] The plurality of CCD cameras 50 include four first CCD cameras 50a and four second CCD cameras 50b. The four first CCD cameras 50a are arranged upstream of the mounting table 10, and the four second CCD cameras 50b are adjacent to the four first CCD cameras 50a and are located downstream of the mounting table 10. The detection area A1 is arranged close to the blowing member 30 and the four first CCD cameras 50a. More specifically, when the workpiece 90 is conveyed to a specified position in the detection area A1, the four first CCD cameras 50a are arranged around the four peripheries of the workpiece 90 in the detection area A1 to perform photographing and send the images to the automatic detection module 200. The re-inspection area A2 is located downstream of the detection area A1 on the conveyor belt 100. And when the workpiece 90 is conveyed to a specified position in the re-inspection area A2 and re-inspection is required, the four second CCD cameras 50b are arranged around the four peripheries of the workpiece 90 in the re-inspection area A2 to perform photographing and send the images to the automatic detection module 200 to re-inspect the workpiece 90 detected as defective in the detection area A1.

[0024] Specifically, when the workpiece 90 is respectively conveyed to the positions of the directly opposite detection area A1 and the retest area A2, images of the workpiece 90 can be captured. After multiple CCD cameras 50 capture the images of the workpiece, they are sent to the automatic detection module 200 to determine whether there are appearance defects in the workpiece and thus judge the qualified and unqualified workpieces. In this embodiment, the number of CCD cameras 50 is eight. It can also be understood that the number of CCD cameras 50 is not limited, as long as it can capture the number of workpieces 90.

[0025] In addition, induction sensors can be additionally provided at the air blowing member 30 and the CCD camera 50. When the induction sensors sense the appearance of the workpiece 90, the air blowing member 30 and the CCD camera 50 respectively start the air blowing and imaging operations. When the workpiece 90 is not sensed, the air blowing member 30 and the CCD camera 50 are in a sleep or off state. Thus, the power consumption can be further reduced.

[0026] As Figure 3 shown, in this embodiment, the automatic detection module 200 includes a driving module 210 connected to the conveyor belt driving part, a connection module 230 connected to the air blowing member 30 (specifically, the connection part), an image acquisition module 250 connected to the CCD camera 50, a detection module 271, and a retest module 273. When the air blowing member 30 blows air on the workpiece 90, the automatic detection module 200 can use the connection module 230 to adjust the angle and distance of the air blowing part 33 relative to the workpiece 90 so that all sides and surfaces of the workpiece 90 are blown.

[0027] In this embodiment, when the automatic detection device 300 is working, the automatic detection module 200 uses the driving module 210 to control the conveyor belt to start the conveying operation. Multiple workpieces 90 are placed on the conveyor belt 100 one by one at a specified distance apart for conveying. When the workpiece 90 is conveyed to the detection area A1, it pauses, and the blowing member 30 blows air on the workpiece 90. After the blowing is completed, the first CCD camera 50a corresponding to the detection area A1 takes pictures around the workpiece 90, and the first CCD camera 50a sends the captured image to the image acquisition module 250. The automatic detection module 200 uses the image acquisition module 250 to acquire the captured image and sends it to the detection module 271. The detection module 271 determines whether there are appearance defects on the workpiece 90 based on the received image. If the detection module 271 determines that there are no appearance defects on all sides, the workpiece 90 is regarded as a good workpiece 901 and continues to be conveyed to the next process. If the detection module 271 determines that there is at least one side of the workpiece 90 with an appearance defect, the workpiece 90 is conveyed to the retest area A2 and stops for retesting. At this time, the second CCD camera 50b corresponding to the retest area A2 also takes pictures of the sides of the workpiece 90, and the second CCD camera 50b sends the captured image to the image acquisition module 250. Similarly, the automatic detection module 200 uses the image acquisition module 250 to acquire the captured image and sends it to the retest module 273. The retest module 273 determines whether there are appearance defects on the workpiece 90 based on the received image. If the retest module 273 determines that there are no appearance defects on all sides of the workpiece 90 at this time, the workpiece 90 is regarded as a good workpiece 901 and continues to be conveyed to the next process. If the retest module 270 still determines that there is at least one side of the workpiece 90 with an appearance defect, the workpiece 90 is regarded as a defective workpiece 903 and is conveyed to the recycling area A3 through the moving frame 101 for subsequent repair treatment, etc.

[0028] The following, Table 1 shows the foreign matter (hair filaments, water droplets) detection data of the comparative example and the embodiment. In the comparative example and the embodiment, 400 hair filaments and water droplets are respectively placed on the four sides of 100 workpieces 90. In the comparative example, the blowing member 30 is not provided, and the probability that the CCD camera 50 captures hair filaments and water droplets and requires retesting is 100%. In contrast, in the embodiment, by adding the blowing member 30 of the present utility model to blow air on the side before each CCD camera 50 takes pictures, the probability that the CCD camera 50 captures hair filaments and requires retesting is 0.25%, and the probability that it captures water droplets and requires retesting is 0%.

[0029] [Table 1]

[0030]

[0031] As can be seen from Table 1 above, by using the automatic detection device 300 with the blowing member 30 of the present utility model, the probability that the side of the workpiece 90 is misdetected as having appearance defects such as cracks and chipping due to the adhesion of lint or water droplets can be significantly reduced.

[0032] In summary, the automatic detection device 300 provided by the present utility model is provided with the blowing member 30 to blow air on the product to be detected before the CCD camera 50 takes a picture. Thus, it is possible to achieve the effects of reducing misdetection and improving detection efficiency with a simple structure and extremely low power consumption.

[0033] All aspects of the embodiments disclosed herein are illustrative and should not be construed in a limiting sense. Therefore, the technical scope of the present utility model is not limited only by the above embodiments, but is defined based on the description in the claims. In addition, all changes within the meaning and scope equivalent to the claims are included.

Claims

1. An automatic detection device for detecting appearance defects on a workpiece, characterized in that, Comprising: A conveyor belt for carrying and conveying the workpiece to be detected; An installation table disposed close to the conveyor belt; A blowing member movably disposed on the installation table to blow off foreign matters on the workpiece; A plurality of CCD cameras respectively disposed on the installation table in a manner located above the conveyor belt for photographing the workpiece and sending the photographed images; And An automatic detection module including a driving module connected to the conveyor belt, an image acquisition module connected to the CCD camera, and a detection module, The image acquisition module receives the images from the CCD cameras and sends the images to the detection module, and the detection module determines whether there are appearance defects on the workpiece based on the images.

2. The automatic detection device according to claim 1, wherein The blowing member includes a connecting portion and a blowing portion connected to the connecting portion, The connecting portion is movably mounted on the installation table.

3. The automatic detection device according to claim 2, wherein The automatic detection module further includes a connecting module connected to the connecting portion, The automatic detection module controls the connecting portion by using the connecting module to adjust the distance and angle of the blowing portion relative to the workpiece when the blowing member blows air on the workpiece.

4. The automatic detection device according to claim 2, wherein The blowing member further includes a pressure control portion connected to the connecting portion to control the air pressure of the blown air flow.

5. The automatic detection device according to claim 2, wherein The blowing portion includes a base spirally connected to the connecting portion and a needle-shaped air nozzle in the shape of a slender tube, One end of the needle-shaped air nozzle is sleeved in the base.

6. The automatic detection device according to claim 5, wherein The length of the needle-shaped air nozzle is 5.4 mm 7. The automatic detection device according to claim 5, wherein The inner circle radius of the needle-shaped air nozzle is 0.5 mm 8. The automatic detection device according to claim 1, wherein The automatic detection device further includes an induction sensor, The automatic detection device controls the opening and closing of the blowing member and the CCD camera based on whether the induction sensor detects the workpiece.

9. The automatic detection device according to claim 1, wherein The automatic detection module further includes a retest module, When the detection module determines that there are appearance defects, the workpiece is conveyed to the retest area and stops. The automatic detection module uses the image acquisition module to collect the images captured by the CCD cameras and sends them to the retest module. The retest module determines whether there are appearance defects on the workpiece based on the images, When the retest module determines that there are appearance defects, the workpiece is conveyed to the recycling area.

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