System for detecting quality of metal cap based on machine vision

A technology of machine vision and detection system, which is applied in the direction of instruments, measuring devices, and optical testing flaws/defects, etc. It can solve problems such as uneven illumination, high computational complexity of the least squares method, and affect the effectiveness of the algorithm, so as to simplify the decision-making process , Improve the effect of functional scalability
CN102192911BInactive Publication Date: 2014-04-23INST OF AUTOMATION CHINESE ACAD OF SCI
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
INST OF AUTOMATION CHINESE ACAD OF SCI
Publication Date
2014-04-23
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to a system and method for detecting the quality of a metal cap based on machine vision, used for detecting the quality defect of the metal cap and rejecting the inferior quality product. The detection system comprises an optical imaging device, an image processing device, a rejecting device and a conveying belt, wherein the optical imaging device comprises a planar array industrial camera, a first optical detection sensor and a light source; the image processing device is used for processing the image; and the rejecting device comprises a control circuit board, a second optical detection sensor, a solenoid valve and an injection tube. The method for detecting the quality of the metal cap based on machine vision comprises the following steps of: acquiring an interested maximum outline scale of a template cap image; establishing a rotational invariance characteristic template matrix for the template cap image; acquiring a round outline of the cap to be detected according to the interested maximum outline scale; calculating the rotational invariance characteristic matrix in the coverage of the round outline of the cap to be detected; and matching the rotational invariance characteristic matrix with the rotational invariance characteristic template matrix, so as to judge whether the cap to be detected is a qualified product or an inferior product.
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Description

technical field

[0001] The invention belongs to the field of image sensing technology and computer control technology, and in particular relates to an online quality detection system and method based on machine vision for detecting quality information of metal bottle caps. Background technique

[0002] In the production, processing and packaging industries, it is often necessary to conduct online quality inspections on various components, and metal bottle caps are an accessory that often needs to be inspected. The quality defects of bottle caps will affect the quality of subsequent beverage or pharmaceutical production and cause losses to production enterprises. The quality inspection of bottle caps in the traditional production line is done manually. This kind of manual inspection has vague standards, is greatly affected by human subjective factors, and has low detection accuracy. Due to the high reflectivity of metal materials to light, human eye detection will cause visu...

Claims

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