CN111069092A - Needle arrangement defect detection device based on machine vision and detection method thereof - Google Patents

Needle arrangement defect detection device based on machine vision and detection method thereof Download PDF

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Publication number
CN111069092A
CN111069092A CN201911375990.6A CN201911375990A CN111069092A CN 111069092 A CN111069092 A CN 111069092A CN 201911375990 A CN201911375990 A CN 201911375990A CN 111069092 A CN111069092 A CN 111069092A
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China
Prior art keywords
feeding
pushing
pin header
pin
sliding block
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CN201911375990.6A
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Chinese (zh)
Inventor
杨丹桂
王耀全
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Shanghai Nanshi Technology Co Ltd
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Shanghai Nanshi Technology Co Ltd
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Priority to CN201911375990.6A priority Critical patent/CN111069092A/en
Publication of CN111069092A publication Critical patent/CN111069092A/en
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B07SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07CPOSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/34Sorting according to other particular properties
    • B07C5/342Sorting according to other particular properties according to optical properties, e.g. colour
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B07SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07CPOSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/02Measures preceding sorting, e.g. arranging articles in a stream orientating
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B07SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07CPOSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/36Sorting apparatus characterised by the means used for distribution
    • B07C5/38Collecting or arranging articles in groups
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B65CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65GTRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
    • B65G47/00Article or material-handling devices associated with conveyors; Methods employing such devices
    • B65G47/74Feeding, transfer, or discharging devices of particular kinds or types
    • B65G47/82Rotary or reciprocating members for direct action on articles or materials, e.g. pushers, rakes, shovels
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/01Arrangements or apparatus for facilitating the optical investigation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/89Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles

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  • Analytical Chemistry (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Pathology (AREA)
  • Biochemistry (AREA)
  • Immunology (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Mechanical Engineering (AREA)
  • Textile Engineering (AREA)
  • Sorting Of Articles (AREA)

Abstract

The invention relates to a pin header defect detection device based on machine vision and a detection method thereof, wherein the device comprises an industrial personal computer, a feeding mechanism, a pushing mechanism, a vision detection mechanism and a waste material receiving mechanism, the feeding mechanism is used for orderly arranging pin header bulk materials one by one, the feeding mechanism is used for separating a plurality of pin headers from the whole pin header row, the pushing mechanism is used for pushing the separated pin headers to the vision detection mechanism one by one, the vision detection mechanism is used for detecting defects of the pin headers one by one, and the waste material receiving mechanism is used for receiving waste materials. The transmission speed of the pin header on the two rails of the device is inconsistent, especially the pin header separated by the pushing mechanism is pushed to the visual detection mechanism one by one, a very short time is arranged in the middle, the pin header is in a static state, the visual detection mechanism makes full use of the short time to take a picture, the quality of the shot picture is high, the shot picture is not blurred, the detection accuracy is high, the performance of the visual detection mechanism is fully exerted, and the detection efficiency is improved.

Description

Needle arrangement defect detection device based on machine vision and detection method thereof
Technical Field
The invention relates to the technical field of visual detection, in particular to a pin header defect detection device based on machine vision and a detection method thereof.
Background
In the prior art, automation has been achieved in the aspect of pin header defect detection technology, and an automatic feeding mechanism and a machine vision detection mechanism are mainly adopted, for example, patent No. CN201721645244.0, entitled "a pin header sorting machine based on machine vision" discloses a pin header sorting machine based on machine vision, which includes a sorting machine main body and a computer operating system, the machine vision detection system adopts an illuminating lamp to convert the detected target into image signals through the detection device, and transmits the image signals to a special computer operating system through an image acquisition system, and converts the image signals into digital signals according to the information of pixel distribution, brightness, color and the like, the image acquisition system performs various operations on the signals to extract the characteristics of the target, such as area, number, position and length, and outputs results according to preset allowances and other conditions, including size, angle, color, etc, The number, qualification or disqualification, existence or nonexistence and the like, and the automatic identification function is realized. However, the existing automatic feeding mechanism generally adopts a vibrating disk for feeding, a conveyor belt continuously feeds materials, all needle arrangement speeds on the track are consistent from feeding, detection and discharging on the same conveying track, and the machine vision detection mechanism can only shoot clear pictures only in a low-speed or static state, so that the conveyor belt can move continuously at a low speed or stop at a dynamic speed (the efficiency of starting, conveying and stopping the conveyor belt is low), the detection efficiency is seriously influenced, and the improvement is needed.
Disclosure of Invention
The invention aims to provide a needle arrangement defect detection device based on machine vision and a detection method thereof.
The invention is realized by the following steps: the utility model provides a defective detection device of pin header based on machine vision, includes industrial computer, feed mechanism, feeding mechanism, pushing equipment, visual detection mechanism and receipts waste material mechanism, the industrial computer is used for controlling feed mechanism, feeding mechanism, pushing equipment, visual detection mechanism and receives waste material mechanism work, feed mechanism is used for arranging pin header bulk cargo neatly one by one to give feeding mechanism, feeding mechanism is arranged in separating out a plurality of pin headers from the pin header of whole row, pushing equipment is used for pushing away visual detection mechanism department one by one to the pin header that separates out, and visual detection mechanism is used for carrying out defective detection by one a pair of pin header, receive waste material mechanism and be used for when the waste material appears, receive the waste material.
The feeding mechanism comprises a vibrating feeding tray and a feeding guide rail, one end of the feeding guide rail is connected with the vibrating feeding tray, and the other end of the feeding guide rail is connected with the feeding mechanism; the feeding mechanism comprises a first air cylinder, a feeding fixing seat and a feeding sliding block, wherein the feeding sliding block is arranged on the feeding fixing seat in a sliding mode, the first air cylinder pushes the feeding sliding block to feed back and forth, a pin header fixing groove used for accommodating a plurality of pin headers side by side is formed in the feeding sliding block, the side face of the feeding sliding block is blocked by the feeding guide rail when the feeding sliding block is in an extending state, feeding is stopped, and the pin header fixing groove is communicated with the feeding guide rail when the feeding sliding block is in a retracting state, so that feeding is achieved; the pushing mechanism comprises a pushing stepping motor, a screw rod, a pushing sliding block and a pushing rod, the pushing stepping motor drives the screw rod to rotate, the screw rod pushes the pushing sliding block to move back and forth, the pushing rod is arranged on the pushing sliding block, and the pushing stepping motor acts to push the row pins in the row pin fixing grooves to the visual detection mechanism one by one.
The waste material collecting mechanism comprises a second cylinder and a waste material box, wherein the second cylinder is used for pushing out the waste material box to receive waste materials and pulling back the waste material box to stand by.
Wherein, the feed guide rail sets up at high slope, arranges the needle and utilizes gravity automatic sliding in arranging the needle fixed slot.
Wherein, feed guide rail anterior segment still is equipped with the material inductor for the response material, material inductor and industrial computer signal connection, the industrial computer judges according to the sensing signal of material inductor that lack the material or full material to start the feed or stop the feed with this control feeding mechanism.
The other technical scheme provided by the invention is as follows: a method for detecting the needle arrangement defect detection device based on the machine vision, which comprises the following steps:
s1: the feeding mechanism is utilized to arrange the pin header bulk materials orderly one by one and feed the materials forward continuously;
s2: separating a plurality of pin headers from the pin headers in the whole row by using a feeding mechanism;
s3: pushing the separated pin headers to a visual detection mechanism one by using a material pushing mechanism;
s4: performing defect detection on the row needles one by using a visual detection mechanism, and sorting out good products and waste materials;
s5: and the waste material collecting mechanism is used for collecting waste materials.
The invention has the beneficial effects that: the invention relates to a pin header defect detection device based on machine vision, which is mainly improved in the aspect of automatic feeding, wherein an original track is changed into two tracks, a feeding mechanism is arranged on one track, a pushing mechanism, a vision detection mechanism and a waste receiving mechanism are arranged on one track, the feeding mechanism is used for separating pin headers from the former track and sending the pin headers to the latter track, the feeding mechanism is equivalent to a track changing mechanism, the transmission speeds of the pin headers on the two tracks can be inconsistent, particularly, the pushing mechanism pushes the separated pin headers to the vision detection mechanism one by one, the pin headers are pushed one by one, a very short time is arranged in the middle, the pin headers are in a static state, the vision detection mechanism fully utilizes the short time to take a picture, the shot picture quality is high, the blurring is avoided, the detection accuracy is high, and the pushing device can arrange the pushing times according to the highest detection performance of the vision detection mechanism, for example, the highest detection performance of the visual detection mechanism is 7 pins/second, the pushing device is set to push 7 pins per second, the performance of the visual detection mechanism is fully exerted, and therefore the detection efficiency is improved.
Drawings
FIG. 1 is a top view of an embodiment of a machine vision based pin header defect detection apparatus of the present invention;
FIG. 2 is an enlarged view at A in FIG. 1 (a state when the first cylinder is retracted);
fig. 3 is an enlarged view of fig. 1 at a state of the other (a state when the first cylinder is extended);
FIG. 4 is a front view of an embodiment of the needle alignment defect detection device based on machine vision according to the present invention;
FIG. 5 is a side view of an embodiment of the needle alignment defect detection device based on machine vision according to the present invention;
FIG. 6 is a schematic perspective view of an embodiment of the needle alignment defect detection device based on machine vision according to the present invention;
fig. 7 is a partial perspective view of an embodiment of the needle arrangement defect detecting device based on machine vision according to the present invention.
In order to avoid blocking key structures, fig. 4-7 particularly hide the vibrating feeding tray, which is a common mature device and does not need to show detailed structures, and fig. 7 hides the visual detection mechanism.
1. An industrial personal computer; 2. a feeding mechanism; 21. vibrating the feeding disc; 22. a feed guide rail; 23. a material sensor; 3. a feeding mechanism; 31. a first cylinder; 32. a feeding fixing seat; 33 feeding slide block; 34. a pin header fixing groove; 4. a material pushing mechanism; 41. a pusher stepper motor; 42. a screw rod; 43. a material pushing slide block; 44. a material pushing rod; 5. a visual detection mechanism; 6. a waste collecting mechanism; 61. a second cylinder; 62. a waste material box; 7. an auxiliary display.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As an embodiment of the needle row defect detection device based on machine vision, as shown in fig. 1 to 7, the needle row defect detection device based on machine vision comprises an industrial personal computer 1, a feeding mechanism 2, a feeding mechanism 3, a material pushing mechanism 4, a visual detection mechanism 5 and a waste collecting mechanism 6, wherein the industrial personal computer 1 is used for controlling the feeding mechanism 2, the feeding mechanism 3, the material pushing mechanism 4, the visual detection mechanism 5 and the waste collecting mechanism 6 to work, the feeding mechanism 2 is used for arranging needle row bulk materials one by one and transmitting the needle row bulk materials to the feeding mechanism 3, the feeding mechanism 3 is used for separating a plurality of needle rows from the whole needle row, the material pushing mechanism 4 is used for pushing the separated needle rows to the visual detection mechanism 5 one by one, the visual detection mechanism 5 is used for detecting defect of the needle row by one, and the waste collecting mechanism 6 is used for receiving waste when waste occurs.
The detection method of the needle arrangement defect detection device based on the machine vision comprises the following steps:
s1: the feeding mechanism is utilized to arrange the pin header bulk materials orderly one by one and feed the materials forward continuously;
s2: separating a plurality of pin headers from the pin headers in the whole row by using a feeding mechanism;
s3: pushing the separated pin headers to a visual detection mechanism one by using a material pushing mechanism;
s4: performing defect detection on the row needles one by using a visual detection mechanism, and sorting out good products and waste materials;
s5: and the waste material collecting mechanism is used for collecting waste materials.
The pin header defect detection device based on machine vision is mainly improved in the aspect of automatic feeding, an original track is changed into two tracks, wherein a feeding mechanism 2 is arranged on the track, a pushing mechanism 3, a vision detection mechanism 5 and a waste receiving mechanism 6 are arranged on the track, a feeding mechanism 3 is used for separating pins from the previous track and sending the pins to the next track, the track changing mechanism is equivalent to, the transmission speeds of the pins on the two tracks can be inconsistent, particularly, the pushing mechanism 4 pushes the separated pins to the vision detection mechanism 5 one by one, namely, one pin header is pushed, a very short time is arranged in the middle, the pins are in a static state, the vision detection mechanism 5 fully utilizes the short time to shoot, the shot photos are high in quality and are not blurred, the detection rate is high, the pushing device 4 can arrange the pushing frequency according to the highest detection performance of the vision detection mechanism 5, for example, the highest detection performance of the visual detection mechanism 5 is 7 pins/second, the pushing device 4 is configured to push 7 pins per second, so as to fully exert the performance of the visual detection mechanism 5, thereby improving the detection efficiency.
In this embodiment, the feeding mechanism 2 includes a vibrating feeding tray 21 and a feeding guide rail 22, one end of the feeding guide rail 22 is connected to the vibrating feeding tray 21, and the other end is connected to the feeding mechanism 3; the feeding mechanism 3 comprises a first air cylinder 31, a feeding fixed seat 32 and a feeding sliding block 33, the feeding sliding block 33 is arranged on the feeding fixed seat 32 in a sliding mode, the first air cylinder 31 pushes the feeding sliding block 33 to feed back and forth, a pin header fixing groove 34 used for accommodating a plurality of pin headers side by side is formed in the feeding sliding block 33, when the feeding sliding block 33 is in an extending state, the side face of the feeding sliding block 33 blocks the feeding guide rail 22 to stop feeding, and when the feeding sliding block 33 is in a retracting state, the pin header fixing groove 34 is communicated with the feeding guide rail 22 to achieve feeding; the pushing mechanism 4 comprises a pushing stepping motor 41, a screw rod 42, a pushing sliding block 43 and a pushing rod 44, the pushing stepping motor 41 drives the screw rod 42 to rotate, the screw rod 42 pushes the pushing sliding block 43 to move back and forth, the pushing rod 44 is arranged on the pushing sliding block 43, the pushing stepping motor 41 acts to push the pins in the pin header fixing groove 34 to the visual detection mechanism 5 one by one, so that the visual detection mechanism 5 can detect the pins.
The length of the needle fixing groove 34 on the feeding sliding block 33 can be designed according to actual needs, a plurality of needles, even dozens of needles, can be accommodated at one time, the feeding guide rail 22 is blocked on the side surface of the feeding sliding block 33, feeding is stopped, other blocking mechanisms do not need to be added, the structure is simple, and the cost is low. The pushing stepping motor 41 has excellent start-stop and reverse response, good position precision and motion repeatability, high reliability and long service life, and can rapidly push the pins one by one at intervals and pause.
In the present embodiment, the waste collecting mechanism 6 includes a second cylinder 61 and a waste box 62, and the second cylinder 61 is used for pushing out the waste box 62 to receive waste and pulling back the waste box 62 to stand by. Namely, when the waste material exists, the device is extended to be received, and when the waste material does not exist, the device is retracted to be standby.
In this embodiment, the supply guide rail 22 is inclined in height, the pin header automatically slides into the pin header fixing groove 34 by gravity, and a power mechanism is not required to be specially arranged, so that the structure is simple and the cost is low.
In this embodiment, feed guide 22 anterior segment still is equipped with material inductor 23 for the response material, material inductor 23 and industrial computer 1 signal connection, industrial computer 1 judges according to material inductor 23's sensing signal and lacks material or full material to start the feed or stop the feed with this control feeding mechanism 2. Because the efficiency of the vibration feeding disc 21 is higher and is obviously higher than the detection efficiency, the feeding is needed at intervals, the interval time is not easy to control, the material sensor 23 is arranged to judge that the material is short or full in the feeding guide rail 22 (the material is short, the needle is not arranged, the allowance is less than a certain value, the material is considered to be short, and the material is not supplied continuously after being supplemented in time), and the problem of continuous and uninterrupted feeding is solved.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.

Claims (6)

1. The utility model provides a defective detection device of pin header based on machine vision, its characterized in that, includes industrial computer, feeding mechanism, pushing equipment, visual detection mechanism and receipts waste material mechanism, the industrial computer is used for controlling feeding mechanism, pushing equipment, visual detection mechanism and receives waste material mechanism work, feeding mechanism is used for arranging pin header bulk cargo neatly one by one to give feeding mechanism, feeding mechanism is arranged in separating out a plurality of pin headers from the pin header of whole row, pushing equipment is used for pushing away visual detection mechanism department one by one to the pin header that separates out, and visual detection mechanism is used for going on defectively detecting one by one a pair of pin header, it is used for receiving the waste material when the waste material appears to receive waste material mechanism.
2. The needle arrangement defect detection device based on the machine vision is characterized in that the feeding mechanism comprises a vibrating feeding tray and a feeding guide rail, one end of the feeding guide rail is connected with the vibrating feeding tray, and the other end of the feeding guide rail is connected with the feeding mechanism; the feeding mechanism comprises a first air cylinder, a feeding fixing seat and a feeding sliding block, wherein the feeding sliding block is arranged on the feeding fixing seat in a sliding mode, the first air cylinder pushes the feeding sliding block to feed back and forth, a pin header fixing groove used for accommodating a plurality of pin headers side by side is formed in the feeding sliding block, the side face of the feeding sliding block is blocked by the feeding guide rail when the feeding sliding block is in an extending state, feeding is stopped, and the pin header fixing groove is communicated with the feeding guide rail when the feeding sliding block is in a retracting state, so that feeding is achieved; the pushing mechanism comprises a pushing stepping motor, a screw rod, a pushing sliding block and a pushing rod, the pushing stepping motor drives the screw rod to rotate, the screw rod pushes the pushing sliding block to move back and forth, the pushing rod is arranged on the pushing sliding block, and the pushing stepping motor acts to push the row pins in the row pin fixing grooves to the visual detection mechanism one by one.
3. The machine vision-based pin header defect detection device of claim 2, wherein the waste collection mechanism comprises a second cylinder and a waste box, the second cylinder is used for pushing out the waste box to receive waste materials, and pulling back the waste box to stand by.
4. The defective pin header detection device based on machine vision as claimed in claim 2, wherein the feeding guide rail is arranged obliquely in height, and the pin header automatically slides into the pin header fixing groove by gravity.
5. The needle arrangement defect detection device based on machine vision is characterized in that a material sensor is further arranged at the front section of the feeding guide rail and used for sensing materials, the material sensor is in signal connection with an industrial personal computer, and the industrial personal computer judges that the materials are insufficient or full according to sensing signals of the material sensor and controls a feeding mechanism to start feeding or stop feeding.
6. The detection method of the needle arrangement defect detection device based on the machine vision according to any one of claims 1 to 5, characterized by comprising the following steps:
s1: the feeding mechanism is utilized to arrange the pin header bulk materials orderly one by one and feed the materials forward continuously;
s2: separating a plurality of pin headers from the pin headers in the whole row by using a feeding mechanism;
s3: pushing the separated pin headers to a visual detection mechanism one by using a material pushing mechanism;
s4: performing defect detection on the row needles one by using a visual detection mechanism, and sorting out good products and waste materials;
s5: and the waste material collecting mechanism is used for collecting waste materials.
CN201911375990.6A 2019-12-27 2019-12-27 Needle arrangement defect detection device based on machine vision and detection method thereof Pending CN111069092A (en)

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CN201911375990.6A CN111069092A (en) 2019-12-27 2019-12-27 Needle arrangement defect detection device based on machine vision and detection method thereof

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Application Number Priority Date Filing Date Title
CN201911375990.6A CN111069092A (en) 2019-12-27 2019-12-27 Needle arrangement defect detection device based on machine vision and detection method thereof

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111729861A (en) * 2020-06-19 2020-10-02 江苏电子信息职业学院 Head and tail recognition sorting device for medical suture needles and control method thereof
CN114275506A (en) * 2021-12-27 2022-04-05 苏州天孚光通信股份有限公司 PIN needle external diameter detection machine

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111729861A (en) * 2020-06-19 2020-10-02 江苏电子信息职业学院 Head and tail recognition sorting device for medical suture needles and control method thereof
CN114275506A (en) * 2021-12-27 2022-04-05 苏州天孚光通信股份有限公司 PIN needle external diameter detection machine

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