Artificial board surface defect online detection device based on synchronous principle

Abstract

The invention relates to an artificial board surface defect online detection device based on the synchronous principle and belongs to the technical field of wood detection devices. According to the artificial board surface defect online detection device based on the synchronous principle, an encoder obtains instantaneous speed of a to-be-detected artificial board on a to-be-detected artificial board conveyer belt and conveys the instantaneous speed to a controller, whether the to-be-detected artificial board enters a shooting area or not is judged through a trigger switch, the controller sendsinstructions to a motor according to a detection signal to drive driven pieces including a camera to move at the speed identical with that of the to-be-detected artificial board, in the movement process, the camera completes shooting of the to-be-detected artificial board, images are then transmitted to a computer, defect discrimination is conducted on the obtained images through a processing algorithm, and meanwhile the camera can automatically return to the original position under the action of the resilience of a spring and gets ready for next shooting. The artificial board surface defectonline detection device based on the synchronous principle eliminates image motion blur fundamentally, solves the problems that according to traditional blurred image deblurring, a processing algorithm is complicated, consumed time is long and achieves machine visual online detection of surface defects of the to-be-detected artificial board.

Description

technical field [0001] The invention relates to an on-line detection device for surface defects of wood-based panels based on the principle of synchronization, and belongs to the technical field of wood detection equipment. technical background [0002] Surface quality is one of the important joints in the inspection of wood-based panels before leaving the factory. It is used to eliminate defective panels such as glue spots, scratches, and chipping to ensure the economic benefits of wood-based panel production. At present, the detection of surface defects of wood-based panels is mainly carried out by human eyes, but the recognition efficiency of human eyes will gradually decrease during long-term work, and the accuracy will also be seriously reduced, which is prone to missing coatings. This problem is particularly prominent in the process of continuous press production of wood-based panels, which has affected economic benefits. With the development of computer technology, s...

AI Technical Summary

Problems solved by technology

However, the wood-based panels on the production line move faster, and the camera needs a certain exposure time for shooting, which leads to motion blur in the generated image and affects the reliability of image processing. This problem is a major problem in the application of machine vision technology in the field of on-line inspection of wood-based panels.

For image motion blur, there are currently some solutions. For example, Chinese patent 201110099458.3 discloses a method for eliminating image motion blur. The motion direction and speed are estimated by calculating the spectrum of the brightness component of the target area in the image, and obtained by deconvolution. Image reconstruction; Chinese patent 201210125697.6 discloses a high-speed CCD image sequence arbitrary motion blurred image restoration method, using the high-speed CCD sensor to obtain the image sequence within the exposure time to construct a point spread function (PSF), so as to obtain the restoration by inverse calculation image, but similar methods are basically based on the estimation of the point spread function of the image, which has a large amount of calculation, which seriously slows down the efficiency of the image processing algorithm, and is not suitable for the online detection of wood-based panels with high moving speed.

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