Defective glove detection rejection system and method

Abstract

The present application relates to the technical field of disposable glove processing, and particularly relates to a defective glove detection and removal system and method. The present application comprises a hand mold visual defect detection system, the hand mold visual defect detection system encodes the hand mold, the system further comprises a glove removal module, the hand mold visual defect detection system identifies the defective hand mold and sends the glove removal module after marking, the glove removal module receives the code of the defective hand mold detected by the hand mold visual defect detection system, and according to the code corresponding to the position of the identified defective glove, the defective glove is removed. The present application analyzes the demolded hand mold after the counting machine by taking a photo, identifies the defective hand mold, confirms the defective glove produced on the counting machine station according to the glove scraps on the defective hand mold, judges the position of the defective glove, and removes the defective glove; realizes the identification, positioning and removal of the defective glove after the counting machine station. Avoid flowing into the market, so that the end customer exists the exposure risk.

Description

Technical Field

[0001] This invention relates to the field of disposable glove processing technology, specifically to a defective glove detection and rejection system and method. Background Technology

[0002] In the disposable glove manufacturing industry, existing defective glove detection devices are installed at stations where gloves are not fully demolded (all or part of the glove remains on the hand mold), such as the palm station, the opening station, and the drooping station. When the glove production line enters the drooping station, the glove counting machine removes the partially demolded gloves in a drooping state. After the removed gloves are counted and stacked, the stacked gloves enter the packaging stage and eventually enter the market. For example, the defective glove identification and rejection system based on multi-station visual inspection, authorized by CN115318671A, uses different visual inspection systems designed for different production stations on the production line, increasing the accuracy and speed of detection. However, in actual production, gloves may tear during the glove removal process by the counting machine. Since the torn gloves are already stacked in the counting machine's material box and enter the downstream packaging stage, they eventually enter the market, posing an exposure risk to end customers. For the company, this leads to complaints or even production accidents, resulting in losses for both parties. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to overcome the shortcomings of the prior art and provide a defective glove detection and rejection system and method, which identifies and rejects gloves torn by the counting machine to prevent them from entering the market and reaching end users.

[0004] The technical solution of this invention is as follows:

[0005] A defective glove detection and rejection system includes a hand mold visual defect detection system, which encodes the hand mold. The system also includes a glove rejection module. The hand mold visual defect detection system identifies and marks the defective hand mold and sends it to the glove rejection module. The glove rejection module receives the code of the defective hand mold detected by the hand mold visual defect detection system, identifies the location of the defective glove according to the code, and rejects the defective glove.

[0006] Preferably, the glove rejection module includes a PLC controller and a rejection device, and the hand mold visual defect detection system includes a visual detection module. According to the position of the defective hand mold marked by the glove rejection module, the PLC controller controls the rejection device to reject the corresponding defective glove or the stack of gloves containing the defective glove.

[0007] Preferably, the rejection device is located in the counting machine area, and / or the conveying device area, and / or the boxing area.

[0008] Preferably, the visual inspection module is located at a station after the glove counting machine station to perform defect detection on the hand mold after demolding from the glove counting machine.

[0009] Preferably, the defective gloves are located in a counting machine, and / or a conveying device, and / or a boxing area.

[0010] The technical solution of this invention is as follows:

[0011] A method for detecting and rejecting defective gloves, comprising:

[0012] The hand mold visual defect detection system encodes all hand molds and obtains the defective hand mold code after detecting defective hand molds;

[0013] The hand mold visual defect detection system sends the defective hand mold code to the glove rejection module. The glove rejection module identifies the defective glove based on the defective hand mold code, locates the position of the defective glove corresponding to the defective hand mold based on the hand mold code and the defective hand mold code, and rejects the defective glove.

[0014] Preferably, the position of the defective glove is determined by taking the remainder of the number of gloves removed by the counter based on the deviation value between the leftmost hand mold of the counter and the defective hand mold.

[0015] Preferably, the deviation value = (leftmost hand mold code - defective hand mold code) + 1, and the number of gloves removed by the counting machine is the deviation value / the number of gloves removed by the counting machine.

[0016] Preferably, the defective gloves are located in the counting machine area, and / or the conveying device area, and / or the boxing area; the defective gloves are rejected at the corresponding locations in the counting machine area, and / or the conveying device area, and / or the boxing area.

[0017] Preferably, during the inspection process, the defective gloves are determined to have left the counting machine based on whether the number of gloves in the counting machine's hopper has reached a set quantity.

[0018] Compared with the prior art, the present invention has the following advantages:

[0019] By photographing and analyzing the hand molds after demolding at the counting machine, defective hand molds are identified. Based on the glove fragments on the defective hand molds, the location of the defective gloves at the counting machine station is confirmed, and the defective gloves are then rejected. This achieves the identification, location, and rejection of defective gloves at the counting machine station. It prevents gloves torn by the counting machine from being stacked in the machine's material box and entering the downstream packaging stage, ultimately reaching the market and exposing end customers to exposure risks. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a schematic diagram of the structure of the present invention.

[0022] Figure 2 This is a schematic diagram of the principle connection of the present invention.

[0023] Figure 3 This is a structural diagram of the rejection device in Example 2.

[0024] In the diagram: 1. Counting machine module; 11. Counting machine; 12. Hand mold; 13. Glove; 14. Detection switch; 15. Material box; 2. Vision inspection module; 21. Camera; 22. Strobe light source; 23. Background board; 3. Conveying and boxing module; 31. Conveying device; 4. Glove rejection module. Detailed Implementation

[0025] To enable those skilled in the art to better understand the technical solutions of this invention, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this invention.

[0026] Example 1

[0027] like Figure 1 As shown, this embodiment provides a defective glove detection and rejection system, including a hand mold visual defect detection system. The hand mold visual defect detection system encodes the hand mold 12. The system is characterized by further including a glove rejection module. The hand mold visual defect detection system identifies and marks the defective hand mold and sends it to the glove rejection module. The glove rejection module receives the code of the defective hand mold detected by the hand mold visual defect detection system and rejects the defective glove according to the location of the defective glove corresponding to the code.

[0028] First, the hand mold visual defect detection system encodes the hand mold 12 through the encoding module. The encoding module includes a detection switch 14, which is used to encode the hand mold 12.

[0029] The detection switch 14 is divided into an origin detection switch for origin identification and a sub-detection switch for single hand mold identification.

[0030] The detection switch 14 includes an origin detection switch and an origin contact. The origin detection switch is installed at the origin of the hand mold cycle, which is located at a fixed position on the glove production line, or on a demolding machine, or on a counting machine 11. The origin contact is installed on the origin hand mold and cycles with it. When the origin contact passes the origin detection switch, the origin detection switch is triggered to generate a corresponding origin code signal. For example, Figure 1 The detection switch 14 is an origin detection switch, which includes, but is not limited to, proximity switches or photoelectric switches. The origin detection switch is set at a fixed position on the glove production line, or on the demolding machine, or on the counting machine. The origin contact is not limited to, but includes, an origin trigger. There is only one origin trigger. When the origin contact moves with the hand mold 12 on the glove production line, the origin contact passes the origin detection switch and triggers the origin detection switch to send a trigger signal. The hand mold 12 corresponding to the trigger signal is set as the encoding origin.

[0031] The detection switch 14 further includes a sub-detection switch and a sub-contact. The sub-detection switch is installed at a fixed position on the glove production line, or on a demolding machine, or on a counting machine. The sub-contact is installed at each hand mold. When the sub-contact passes the sub-detection switch, the sub-detection switch is triggered to generate a corresponding hand mold encoding signal. For example, the sub-detection switch includes, but is not limited to, a proximity switch or a photoelectric switch. The sub-detection switch is located at a fixed position on the glove production line, or on a demolding machine, or on a counting machine. The sub-contact includes, but is not limited to, a sub-trigger. The sub-trigger is installed on each hand mold on the glove production line. When the sub-contact moves along with each hand mold on the glove production line, when the sub-contact passes the sub-detection switch, it triggers the sub-detection switch to issue a trigger signal, which is then used to encode each hand mold sequentially.

[0032] Secondly, the hand mold visual defect detection system detects defective hand molds through the visual detection module 2. The visual detection module 2 is used to photograph the demolded hand mold, identify defective hand molds based on the captured images, and locate the corresponding defective glove based on the identified defective hand mold's code. The visual detection module 2 includes a camera 21 and an industrial control computer. The camera 21 is used to photograph the demolded hand mold and send the hand mold image to the industrial control computer. The industrial control computer is used to identify defective hand molds, locate the corresponding defective glove based on the defective hand mold's code, and send the defective glove's location information to the glove rejection module 4.

[0033] In this embodiment, the fixed position of the glove production line refers to the position on the glove production line that does not move with the production line, such as the installation track or frame.

[0034] like Figure 2 As shown, the defective gloves are located at the counting machine module 1 and / or the conveying and boxing module 3.

[0035] The counting machine module 1 includes a counting machine 11, which is used to pick up the half-demolded gloves and count them.

[0036] The conveying and boxing module 3 includes a conveying device 31, which is used to convey the stacked gloves on the counting machine to the boxing area. Under the drive of the PLC controller, the conveying device 31 conveys the counted stacked gloves on the counting machine over a long distance to the boxing area. The PLC controller controls the rejection device to reject defective gloves or a stack of gloves containing defective gloves.

[0037] like Figure 3 As shown, the glove rejection module 4 includes a PLC controller and a rejection device. Based on the location of the defective glove determined by the glove rejection module, the PLC controller controls the rejection device to reject the corresponding defective glove or a stack of gloves containing the defective glove.

[0038] The glove rejection module 4 is used to reject defective gloves based on the location of the defective hand mold identified by the vision inspection module 2. The defective gloves are located at the counting machine 11, and / or the conveying device 31, and / or the boxing area. The glove rejection module 4 includes a PLC controller and a rejection device. Based on the location of the defective glove identified by the vision inspection module 2, the PLC controller controls the rejection device to reject the corresponding defective glove or a stack of gloves containing the defective glove. The rejection device is located in the counting machine area, and / or the conveying device area, and / or the boxing area. Thanks to the glove rejection module 4, even if the counting machine tears a glove, it can be corrected in subsequent processes; the rejection device prevents defective gloves from entering the market and reaching end users.

[0039] The detection switch 14 sends the proximity information of the hand mold to the PLC controller. The PLC controller notifies the industrial control computer that the hand mold 12 has arrived. The industrial control computer encodes the hand mold, assigning it a corresponding code value. This code will be used to locate the defective glove. Subsequently, the counting machine 11 removes the partially demolded gloves and stacks them. During this process, the demolded hand molds and stacked gloves enter different production lines. The demolded hand molds enter the visual inspection area, where the visual inspection module 2 takes pictures of the hand molds from all angles. The industrial control computer analyzes and identifies the hand mold images to obtain the code of the defective hand mold. Based on the defective hand mold code, the corresponding defective glove is indirectly located. The industrial control computer sends the location information of the defective glove to the glove rejection module 4 through the PLC controller. At this time, the stacked gloves enter the conveying and boxing area, where the conveying device transports the stacked gloves to the boxing area. The glove rejection module controls the rejection device to reject the defective glove or the stack of gloves containing the defective glove based on its location, thereby preventing the defective gloves from entering the market and reaching end users.

[0040] In this embodiment, the visual inspection module detects and analyzes the hand mold defect as a fragment of a glove on the hand mold. It can be determined that the glove was torn during the glove removal process by the counting machine, thus producing a defective glove.

[0041] Example 2

[0042] like Figure 1 As shown, this embodiment provides a method for detecting and rejecting defective gloves, the steps of which include:

[0043] The hand mold visual defect detection system encodes all hand molds 12 and obtains the defective hand mold code after detecting defective hand molds;

[0044] The hand mold visual defect detection system sends the defective hand mold code to the glove rejection module. The glove rejection module identifies the defective glove based on the defective hand mold code, locates the position of the defective glove corresponding to the defective hand mold based on the hand mold code and the defective hand mold code, and rejects the defective glove.

[0045] First, we will explain the principle behind the hand mold visual defect detection system's encoding of hand molds.

[0046] Referring to the encoding module mentioned in Embodiment 1, the encoding module includes a detection switch 14, which is used to encode the hand mold 12. The detection switch 14 includes, but is not limited to, a proximity switch or a photoelectric switch. The detection switch 14 is set at a fixed position on the glove production line, or on the demolding machine, or on the counting machine; each hand mold on the glove production line is equipped with a trigger element. When the trigger element moves along with the hand mold on the glove production line, it triggers the detection switch to send a signal when it passes by the detection switch. Each hand mold's trigger element can trigger a signal when it passes by the detection switch. The PLC controller transmits these trigger signals to the industrial control computer, which encodes these trigger signals according to the hand mold. Each hand mold has a corresponding encoding value.

[0047] The detection switch 14 is divided into an origin detection switch for origin identification and a sub-detection switch for individual hand mold identification. Specifically: the detection switch 14 includes an origin detection switch and an origin contact. The origin detection switch is installed at the origin of the hand mold cycle, which is located at a fixed position on the glove production line, or on a demolding machine, or a counting machine. The origin contact is installed on the origin hand mold and cycles with it. When the origin contact passes the origin detection switch, the switch is triggered to generate a corresponding origin code signal. The detection switch 14 also includes a sub-detection switch and a sub-contact. The sub-detection switch is installed on the glove production line, and the sub-contact is installed at each hand mold. When the sub-contact passes the sub-detection switch, it is triggered to generate a corresponding hand mold code signal. Next, the principle of analyzing and judging the images of the corresponding coded hand molds captured by the camera is analyzed. Using a camera to photograph the hand molds solves the problem of excessive vehicle speed or personnel fatigue; the camera captures images from all directions, and the defective hand mold images are analyzed to determine the location of the defective glove. A strobe light source 22 is used to improve the quality of the captured images. The industrial computer is used to identify defective hand molds and locate the corresponding defective gloves based on the hand mold's code. The camera is used to photograph the demolded hand molds and identify defective hand molds based on the captured images. The defective condition of the hand mold refers to whether there are residual glove fragments; these fragments are used to determine if the corresponding glove is defective.

[0048] Then, the hand mold visual defect detection system detects defective hand molds through the visual detection module 2. The visual detection module 2 identifies and locates the position of the defective glove corresponding to the defective hand mold. The industrial control computer locates the position of the defective glove corresponding to the defective hand mold by calculating the remainder. The position of the defective glove is determined by the remainder obtained by taking the remainder of the deviation between the leftmost hand mold of the counting machine and the code value of the defective hand mold, and counting the number of gloves removed by the counting machine. In this embodiment, as shown in the attached... Figure 1 As shown, the glove production line runs from left to right, so the hand molds enter from the left side of the counting machine; conversely, the deviation value is taken as the difference between the code value of the rightmost hand mold of the counting machine and the defective hand mold.

[0049] The remainder is calculated as follows:

[0050] Assume the leftmost hand mold code of the counting machine is the current value A, the defective hand mold code is the initial value B, and the counting machine removes N gloves (refer to...). Figure 1 In this embodiment, the counting machine removes 6 gloves (this number refers to the number of gloves removed by the counting machine at one time, and the corresponding number of material boxes 15 is also 6). Therefore:

[0051] Deviation value E = (current value A - initial value B) + 1

[0052] Remainder R = Deviation value E / Number of gloves removed by the counting machine N = ((Current value A - Initial value B) + 1) / Number of gloves removed by the counting machine N

[0053] The remainder R represents the position of the defective glove in the counting machine's hopper when it was picked up.

[0054] See attached document Figure 1 Assuming the leftmost hand mold at position 23 on the background board is numbered 1 (B=1), and hand mold number 1 is detected as defective, the leftmost hand mold entering the counting machine is numbered 10 (A=10). Therefore, the deviation value E=(10-1)+1=10. The counting machine removes 6 gloves (N=6). Using E / N=10 / 6 and taking the remainder, we find a remainder of 4. This indicates the defective glove was removed from the counting machine and placed in the 4th glove box from the left. Combining the number of gloves in that box with whether it moved from the counting machine into the conveyor system, the specific location of the defective glove can be determined.

[0055] If the number of gloves in the hopper has not yet reached the set quantity when the defective glove is detected, the defective glove can be located on the counting machine. Here, the set quantity usually refers to the quantity set by the counting machine. For example, the counting machine is set to hold 50 gloves in a stack. Once 50 gloves have been picked up, the hopper of the counting machine is transferred away.

[0056] If, when the defective glove is detected, the number of gloves in the box has reached the set quantity and has been transferred to the conveyor or transported to the boxing area by the conveyor, then the location of the defective glove can be determined as the conveyor or the boxing area.

[0057] Finally, the principle of rejecting defective gloves is analyzed. The defective gloves are located in counting machines, and / or conveyor systems, and / or boxing areas. Rejection devices are installed in the counting machine area, and / or conveyor system area, and / or boxing area.

[0058] The following analysis details the process of eliminating defective gloves.

[0059] The defective gloves were found on the counting machine, such as... Figure 3 As shown, the bottom of the material box 15 on the counting machine is opened directly, and the defective gloves fall onto the ground or onto the receiving plate set on the ground. Alternatively, the stack of gloves containing defective gloves can be transferred away and rejected by a transfer robot or by manual handling.

[0060] The defective gloves are located on the conveyor. The rejection device is set up on the side of the conveyor. When the defective gloves move to the rejection device, the PLC controller drives the rejection device to remove the stack of gloves containing the defective gloves. Specifically, the rejection can be done by rejection grippers, rejection robot, or manual rejection.

[0061] The defective gloves are located in the boxing area, and the stack of gloves containing the defective gloves is removed manually or by a robotic arm.

[0062] The stacks of defective gloves removed during this process are placed in the abnormal glove area, where they are manually sorted and then proceed to the packaging stage.

[0063] Although the present invention has been described in detail with reference to the accompanying drawings and preferred embodiments, the invention is not limited thereto. Various equivalent modifications or substitutions can be made to the embodiments of the invention by those skilled in the art without departing from the spirit and essence of the invention, and such modifications or substitutions should all be within the scope of the invention. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the invention should also be covered within the protection scope of the invention. Therefore, the protection scope of the invention should be determined by the scope of the claims.

Claims

1. A defective glove detection and rejection system, comprising a hand mold visual defect detection system, wherein the hand mold visual defect detection system encodes the hand mold (12), characterized in that, The system also includes a glove rejection module. The hand mold visual defect detection system identifies and marks defective hand molds and sends them to the glove rejection module. The glove rejection module receives the code of the defective hand mold detected by the hand mold visual defect detection system, identifies the location of the defective glove according to the code, and rejects the defective glove. The glove rejection module includes a PLC controller and a rejection device. The hand mold visual defect detection system includes a visual detection module (2). According to the position of the defective hand mold marked by the glove rejection module, the PLC controller controls the rejection device to reject the corresponding defective glove or the stack of gloves (13) containing the defective glove. The visual detection module (2) is set at the station after the glove counting machine station to perform defect detection on the hand molds after demolding from the glove counting machine.

2. The defective glove detection and rejection system as described in claim 1, characterized in that, The rejection device is located in the counting machine (11) area, and / or the conveying device (31) area, and / or the boxing area.

3. The defective glove detection and rejection system as described in claim 1, characterized in that, The defective gloves are located at the counting machine (11), and / or the conveying device (31), and / or the boxing area.

4. A method for detecting and rejecting defective gloves, employing the defective glove detection and rejection system as described in any one of claims 1-3, characterized in that, include: The hand mold visual defect detection system encodes all hand molds (12) and obtains the defective hand mold code after detecting defective hand molds; The hand mold visual defect detection system sends the defective hand mold code to the glove rejection module. The glove rejection module identifies the defective glove based on the defective hand mold code, locates the position of the defective glove corresponding to the defective hand mold based on the hand mold code and the defective hand mold code, and rejects the defective glove.

5. The defective glove detection and rejection method as described in claim 4, characterized in that, The position of the defective glove is determined by the remainder obtained by taking the difference between the leftmost hand mold of the counting machine (11) and the defective hand mold, and counting the number of gloves (13) taken by the counting machine (11).

6. The defective glove detection and rejection method as described in claim 5, characterized in that, The deviation value = (leftmost handprint code - defective handprint code) + 1.

7. The defective glove detection and rejection method as described in claim 6, characterized in that, The defective gloves are located in the counting machine (11), and / or the conveying device (31), and / or the boxing area; the defective gloves are rejected at the counting machine (11) area, and / or the conveying device (31) area, and / or the boxing area.

8. The defective glove detection and rejection method as described in claim 7, characterized in that, During the inspection process, the defective gloves are determined to have left the counting machine based on whether the number of gloves in the counting machine's hopper has reached the set quantity.

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