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Method for automatically detecting burrs of injector steel needles by using machine vision system

A machine vision system and automatic detection technology, applied in the direction of optical testing defects/defects, sorting, etc., can solve the problems of inability to guarantee product qualification rate detection quality, low monitoring speed, high labor intensity, etc., to reduce the labor intensity of inspection. Effect

Active Publication Date: 2012-01-04
WUXI ZHONGWANG 4D TECH
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problems that the online detection of syringe steel needle burrs in the prior art relies on manual detection, the workers are prone to visual fatigue, the labor intensity is high, the product qualification rate and detection quality cannot be guaranteed, and the monitoring speed is low. The present invention provides a machine vision system The automatic detection method for syringe steel needle burrs greatly reduces the labor intensity of workers' detection, has high detection accuracy and fast speed, and can effectively ensure the qualified rate of manufactured products

Method used

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  • Method for automatically detecting burrs of injector steel needles by using machine vision system
  • Method for automatically detecting burrs of injector steel needles by using machine vision system
  • Method for automatically detecting burrs of injector steel needles by using machine vision system

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Embodiment 1

[0032] Embodiment 1, to the detection of protruding burr product:

[0033] like figure 2 The image of the protruding glitch shown, where the protruding part in the upper right is the visual figure of the protruding glitch.

[0034] Fix the Basler ACA640-100GM industrial camera on the side of the steel needle, the distance between the camera and the side of the steel needle is about 20mm, use the Schneider 50 times zoom zoom lens, adjust the focal length to 16mm, and adjust the aperture to the maximum value, The exposure time was adjusted to 0.41ms. The protruding burr detection accuracy is set to 0.01mm, and the maximum horizontal length of the normal protruding burrs of qualified products is set to 0.05mm. A special white fiber optic point light source is used to irradiate from the opposite side of the camera (backlight), and a semi-closed metal frame is used to shield the influence of external stray light, so as to obtain a relatively stable visual image and reflect the p...

Embodiment 2

[0039] Embodiment 2, to the detection of notch and burr product:

[0040] like image 3 The image of the dent burr (open bubble defect) shown, in which the upper right notch part is the visual figure formed by the dent burr.

[0041]Fix the Basler ACA640-100GM industrial camera on the side of the steel needle, the distance between the camera and the side of the steel needle is about 20mm, use the Schneider 50 times zoom zoom lens, adjust the focal length to 16mm, and adjust the aperture to the maximum value, The exposure time was adjusted to 0.41ms. The detection accuracy of notches and burrs is set to 0.01mm, and the maximum transverse length of normal notches and burrs of qualified products is set to 0.05mm. A special white fiber optic point light source is used to irradiate from the opposite side of the camera (backlight), and a semi-closed metal frame is used to shield the influence of external stray light, so as to obtain a relatively stable visual image and reflect the...

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Abstract

The invention provides a method for automatically detecting burrs of injector steel needles by using a machine vision system. The method comprises the following steps of: setting transverse lengths of protruded burrs and sunk burrs of needle point parts of the steel needles to be detection parameters; setting detection accuracy and qualified ranges of different parameters according to requirements of users; starting a camera by using external trigger and control signals to shoot pictures of the steel needles operated on line in real time, and transmitting the shot pictures to a computer for detection; processing the pictures by using the computer by a picture algorithm; extracting the pictures in which the burrs are generated, and computing the dimensions of two burrs; and judging whethera product is a qualified product or a waste product through the computed dimensions of the burrs, and eliminating the waste product from a specified material outlet through the external trigger and control signals. By the method, the burrs of the injector steel needles can be detected at high accuracy and high speed, and the yield of the product can be effectively ensured.

Description

technical field [0001] The invention relates to the technical field of on-line detection by using a machine vision system, in particular to a method for automatically detecting whether there is a burr on a syringe steel needle by using a machine vision system at the production site of a syringe steel needle. Background technique [0002] In the assembly workshop of the syringe steel needle in the assembly line of the assembly line, it is necessary to carry out online detection on whether there is a burr in the steel needle. In the prior art, the on-line detection of steel needle burrs relies on manual use of a special magnifying glass for detection, and about 80 people are set up next to the steel needle production machine to detect and process the steel needle burrs, and the products are classified into qualified products according to the detection results (such as Protruding burr transverse length < 0.05mm, or recessed burr transverse length < 0.05mm, and no other bu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B07C5/342G01N21/95
Inventor 董仲伟
Owner WUXI ZHONGWANG 4D TECH
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