TWM591529U - Automatic optical inspection system for yarn bobbin - Google Patents

Abstract

This creation relates to an automatic optical detection system for spindles, which is mainly for various spindles of different specifications. It uses the automatic optical detection system as a spindle parameter detection mechanism for identifying spindle specifications, setting detection areas and spindle defect identification. Defect detection mechanism, and the host that electrically connects the spindle parameter detection mechanism and spindle defect detection mechanism, and then records whether the identified spindle is abnormal or not; therefore, the automated system can make the spindle accurate, fast, objective judgment, and consistent standards Flaw detection to solve the shortcomings of traditional manual visual inspection that is difficult to standardize.

Description

Spindle automatic optical detection system

This creation provides an automatic optical detection system for spindles, especially an innovative structural design that completes the identification of spindle specifications and the determination of spindle defects by optical detection and automated mechanisms to achieve accurate and rapid detection.

According to the conventional spindle inspection, it is usually to avoid the production of defects in the subsequent weaving to achieve the purpose of ensuring production quality.

However, the above-mentioned conventional spindle detection method is based on manual visual judgment. When manually detecting a single spindle, the time spent by a skilled and a novice is very different, the detection speed is different, and the individual subjective judgment defects are all The difference is that it cannot achieve a single standardized quality. In addition, it is necessary to focus on observation during the detection process. It is prone to fatigue over a long period of time, and it is easy to produce negligence and miss defects. Therefore, although manual detection is the basic requirement to ensure production quality, However, there are many shortcomings and deficiencies in the detection methods that are time-consuming, labor-intensive and unable to control quality. It is really necessary to propose specific improvements to meet the needs of industrial progress and further provide more technical choices in the industry.

The main purpose of this creation is to provide an automatic optical detection system for spindles, which is used to implement automatic image inspection through spindle identification and defect determination The purpose of accurate and fast detection.

In order to achieve the above purpose, the specific technical methods and plans adopted in this creation are as follows:

An automatic optical detection system for spindles includes: a spindle parameter detection mechanism provided with an image pickup element for taking up images of the height and outer diameter of the spindle; a spindle defect detection mechanism provided with an image pickup capable of adjusting the position The component is used to ingest whether the various parts of the spindle have: dirty silk, paper tube damage, poor forming, wool, collision, ear height, thread throwing, wire clamping, silk tail and color difference images; a host, including a detection parameter point , By setting the parameters of the spindle specifications, the image of the spindle parameter detection mechanism will be received electronically, and the parameters that meet the specifications of the spindle will be verified; a detection area point is to receive the parameters of the detection parameter points electrically and then send it to Spindle defect detection mechanism to adjust the image pickup element to the corresponding detection area; an abnormal type detection point, by which the type of spindle defect is set, the image of the spindle defect detection mechanism is electrically received, and whether there is a type of spindle defect is checked ; One detects NG independent recording points, electrically receives abnormal images of abnormal type detection points and records; one produces detection recording points, electrically receives abnormal image detection points of abnormal types and records.

(1)‧‧‧Host

(11)‧‧‧Detection parameter point

(12)‧‧‧Detection area point

(13)‧‧‧ abnormal type detection point

(14)‧‧‧Examination of NG independent recording points

(15)‧‧‧Output testing record point

(16)‧‧‧Warning light

(2)‧‧‧ Spindle parameter detection mechanism

(21, 31) ‧‧‧ image capture component

(3)‧‧‧ Spindle defect detection mechanism

(4)‧‧‧machine

(41)‧‧‧spindle transport mechanism

(A)‧‧‧spindle

The first picture: the spindle detection schematic diagram of the embodiment of the creation detection system.

The second figure: the schematic diagram of the machine application of this embodiment of the creative detection system.

Please refer to the first picture, this creation is an automatic optical detection system for spindles. The main system (1) is mainly divided into: a. Set detection parameter points (11), b. Set detection area points (12), c. abnormal image detection point (13), d. output detection record point (14), e. detection of NG independent record point (15), etc., and then spindle parameter detection mechanism (2) and spindle defect detection mechanism (3) In conjunction with the application of the above host (1) function, it can independently detect various defects of the spindle (A), and establish various index data, statistics and other functions to further standardize the integrity of the detection system.

The functions of each mechanism of the spindle automatic optical detection system are as follows: spindle parameter detection mechanism (2), which is provided with an image pickup element (21) for capturing the image of the height and outer diameter of the spindle (A); spindle spindle defect detection mechanism ( 3) It is equipped with an image pickup element (31) with adjustable position to capture the images of various parts of the spindle (A), and the images are abnormal. The types include dirty filaments (finger thread contamination) and paper tube damage (finger Damaged tube section of the yarn), poor forming (refers to the surface of the spindle showing ups and downs of the wave), wool (refers to the fracture of the yarn exposed on the surface of the spindle), collision (refers to the depression of the spindle by the impact), ear height (refers to the circumference of the spindle Shows high and low drop), wire throwing (referring to the non-concentric circles on the surface of the spindle), wire clamping (referring to the non-concentric circles on the inner layer of the spindle), silk tail (referring to whether the end of the yarn is normally wound), and color difference ( Refers to whether the dyed spindle has a color drop) and other defects; the detection parameter point (11) is used to set the parameter of the spindle (A) specification, and the matching image is identified according to the parameter; the detection area point (12) is used to receive the parameter , And transmit the range value of the pre-detection area according to the detection range value that matches the parameters; the abnormal type detection point (13) is used to set the type of the spindle (A) defect and electrically receive the image of the spindle defect detection mechanism (3), It is used to identify whether the image conforms to the set abnormal type; detecting the NG independent recording point (14) is to receive and record the abnormal image; in addition, detecting the NG independent recording point (14) is electrically connected with a warning light (16) , To provide the detection signal of abnormal images; the output detection record point (15) is to receive and record the abnormal images.

Spindle automatic optical detection system is applied to the machine (4) operation [please refer to the second figure], the machine (4) has a spindle transport mechanism (41), and the spindle parameters The detection mechanism (2) and the spindle defect detection mechanism (3) are sequentially arranged on the spindle transportation mechanism (41) at an appropriate distance, and the spindle (A) can be transported to the spindle parameter detection mechanism (2) via the spindle transportation mechanism (41) , And make the image pickup element (21) capture the image of the spindle (A), so as to capture the outer diameter and height of the spindle (A), which can be recognized by the down and side, and send the image to the detection parameter point (11) of the host (1), here The remote host (1) can be electrically connected to compare the images with the set parameters to know the specifications of the spindle (A), and then send the specification parameters to the detection area point (12), so that Compare the value of the detection area with the spindle (A) specifications, and then send it to the spindle defect detection mechanism (3) to activate the image pickup element (31) to cooperate with the pre-detected spindle (A) to adjust to the corresponding position After the spindle transport mechanism (41) transports the spindle (A) to the position, it can directly capture the images of each part of the spindle (A) and then send it to the abnormal type detection point (13), according to the set defect type Compare and identify whether there is a matching image, and then send the result to the NG independent recording point (14) and the output detection recording point (15), which is to send the image that meets the defect type to the NG independent recording point (14 ), no image matching the type of defect is sent to the output detection record point (15). According to this procedure and the function of the spindle transport mechanism (41), it can quickly and automatically identify whether the spindle (A) is abnormal or not. The inspection can ensure stable production quality, and by statistical abnormalities, defects and other abnormalities, a complete history of production records can be established to provide a basis for managers to control output and quality.

(1)‧‧‧Host

(11)‧‧‧Detection parameter point

(12)‧‧‧Detection area point

(13)‧‧‧ abnormal type detection point

(14)‧‧‧Examination of NG independent recording points

(15)‧‧‧Output testing record point

(16)‧‧‧Warning light

(2)‧‧‧ Spindle parameter detection mechanism

(21, 31) ‧‧‧ image capture component

(3)‧‧‧ Spindle defect detection mechanism

(A)‧‧‧spindle

Claims (2)

An automatic optical detection system for spindles, including: A spindle parameter detection mechanism is provided with an image pickup element, which is used to capture the image of the height and outer diameter of the spindle; A spindle defect detection mechanism is provided with an image pickup element with adjustable position for taking images of various parts of the spindle; A host, including a detection parameter point, by setting the spindle specification parameter, the image of the spindle parameter detection mechanism will be received electronically, and the parameter conforming to the spindle specification will be verified; a detection area point, by setting the detection range of the spindle specification Value, and then receive and compare the parameters of the detection parameter points electrically, and then send the matching range value to the spindle defect detection mechanism to adjust the image pickup element to the corresponding detection area; an abnormal type detection point, by Set the type of spindle defect, electrically receive the image of the spindle defect detection mechanism, and verify whether there is a type that meets the spindle defect; one detects the NG independent recording point, electrically receives the abnormal image of the abnormal type detection point and records; one output Detect the recording point, and receive and record the non-abnormal image information of the abnormal type detection point electrically. The automatic optical detection system of spindle as described in item 1 of the patent application scope, in which the NG independent recording point is electrically connected to a warning light; it can provide the detection signal of abnormal images.

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