Multi-mode registration-based online detecting device

Abstract

The invention discloses a multi-mode registration-based online detecting device comprising a mode registration unit and an intelligent lighting assembly which are sequentially arranged at the upper part of a mechanical bearing platform from top to bottom; a manual intervention unit is arranged at the right side of the mode registration unit composed of a plurality of mode registration subunits; and each mode registration subunit and the manual intervention unit are respectively connected with a central processing unit through an interactive data communication bus. By using the multi-mode registration-based online detecting device, a plurality of feature information of a detected target is simultaneously subjected to registration analysis, so that the classification, collection and combination of the plurality of feature information are realized, and efficient and accurate online detection recognition is realized; and the registration results of the plurality of feature information are combined, so that the compression of the plurality of feature information is effectively realized, the redundant feature information is reduced, the burden for processing image information by using a hardware system is greatly relieved, the detection precision of the system is improved, and an effective support is provided for the analysis and decision of automatic control on a production line by combining multi-mode registration information results.

Description

technical field [0001] The invention belongs to an online detection device, in particular to an online detection device based on multi-mode registration. Background technique [0002] In the process of modern industrial and agricultural production, online detection technology has been widely used in the fields of product production, quality inspection and quality control, and has gradually become one of the basic technologies of modern industry. In these applications, through registration and identification of a certain feature of various product components, the detection of product defects, scratches, stains, shapes, and installation positions can be realized, thereby eliminating or reducing defective products. Relatively speaking, this is a traditional image matching method, which requires strict processing of the image grayscale and other information of the detection target, and a series of optimized processing of image algorithms in order to achieve satisfactory recognit...

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Problems solved by technology

[0003] However, it is unavoidable that most of the production lines have various tension fluctuations, noise interference and other phenomena, and the actually obtained detection target images more or less have problems such as stretching deformation and complex background in different situations.

With the complexity of online detection applications and the continuous improvement of detection requirements, it is difficult to describe all the information in the detection scene by relying on a single feature information, while the traditional online detection system uses a single image feature pattern for detection and recognition. Under conditions such as light sources, only one characteristic information of the detection target can be obtained at a time, and the characteristic information used for detection, identification and matching after final processing often does not meet the expected requirements.

[0004] At the same time, the uncertainty of the detection site has brought many difficulties to the operating efficiency, hardware cost, and algorithm complexity of the online detection system. Since the detection target position, light source and other conditions are changing, in many cases, a single feature To identify the detection target, it is difficult to achieve the desired effect

[0005] In many sites where online testing is required, it is often necessary to detect multiple features of the product, such as the surface condition, internal structure damage, installation position, etc. of mechanical products on the production line. At this time, a single pattern registration method is used. Efficiency and accuracy are obviously difficult to meet the requirements. In order to quickly and accurately realize the online detection of the detection target, it is necessary to design a simple, reliable and low-cost technical solution

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