The traditional construction industry dilemma concerns the definition of an overall quality standard and acceptable level especially in aesthetic issue because some work items in visual inspection are difficult to measure the absolute defect quantity. These are limited by using human vision inspection. In current practice, the visual quality inspection is still relied on individual subjective j...

Abstract Machine vision significantly improves the efficiency, quality, and reliability of defect detection. In visual inspection, excellent optical illumination platforms suitable image acquisition hardware are prerequisites for obtaining high-quality images. Image processing analysis key technologies in information, while deep learning is impacting field analysis. this study, a brief history ...

In this research, the automatic optical detection system is developed for detecting sectional profile and surface of thin-film transistor liquid crystal display (TFT-LCD) panels after being treated through cutting process. Traditional image processing inspection relying on pre-determined thresholding cannot achieve ideal results in slight defects glass substrates. The proposed pre-processing pr...

This paper presents an automated vision based defect inspection and sorting system for a plastic injection mould component called a Retractor Retaining Bush, which is an automotive safety critical component. The system identifies defects which usually occur in a plastic injection mould component. Various types of sensors and actuators were interfaced with the vision hardware and the part handli...

The present study evaluated the color vision of 44 patients with Duchenne muscular dystrophy (DMD) (mean age 14.8 years; SD 4.9) who were submitted to a battery of four different color tests: Cambridge Colour Test (CCT), Neitz Anomaloscope, Ishihara, and American Optical Hardy-Rand-Rittler (AO H-R-R). Patients were divided into two groups according to the region of deletion in the dystrophin ge...

An appearance defect online inspection system of mesh fabric has been developed based on machine vision. The mean filter method is adopted to eliminate noise. An adaptive threshold method based on brightness is presented to eliminate the effects of uneven illumination and separate the foreground and background. By analyzing the texture characteristics and defect features of mesh fabric, the mes...