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VJ Electronix leads the way in providing robust and practical X-ray solutions to solve real production issues. Innovation and simplicity govern system design to maximize ease-of-use with programmed inspection and a simple 1–2–Go! user int
Industry News | 2014-07-24 10:09:05.0
With this new Release, Viscom introduces numerous innovations and improvements in the area of inspection plan generation and analysis software for its inspection systems.
Industry News | 2013-02-21 06:57:08.0
VJ Electronix, Inc.,announces that it has been awarded a 2013 NPI Award in the category of Test & Inspection – AXI for its Vertex II next-generation X-ray technology.
Technical Library | 2020-08-27 01:15:10.0
Automobile surface defects like scratches or dents occur during the process of manufacturing and cross-border transportation. This will affect consumers' first impression and the service life of the car itself. In most worldwide automobile industries, the inspection process is mainly performed by human vision, which is unstable and insufficient. The combination of artificial intelligence and the automobile industry shows promise nowadays. However, it is a challenge to inspect such defects in a computer system because of imbalanced illumination, specular highlight reflection, various reflection modes and limited defect features. This paper presents the design and implementation of a novel automatic inspection system (AIS) for automobile surface defects which are the located in or close to style lines, edges and handles. The system consists of image acquisition and image processing devices, operating in a closed environment and noncontact way with four LED light sources. Specifically, we use five plane-array Charge Coupled Device (CCD) cameras to collect images of the five sides of the automobile synchronously. Then the AIS extracts candidate defect regions from the vehicle body image by a multi-scale Hessian matrix fusion method. Finally, candidate defect regions are classified into pseudo-defects, dents and scratches by feature extraction (shape, size, statistics and divergence features) and a support vector machine algorithm. Experimental results demonstrate that automatic inspection system can effectively reduce false detection of pseudo-defects produced by image noise and achieve accuracies of 95.6% in dent defects and 97.1% in scratch defects, which is suitable for customs inspection of imported vehicles.
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. Thus, profile is an important factor to decide soldering defects. Defects caused by inappropriate profile mainly include cracks, warped components, tin sweats, bridging, Pseudo soldering, cold soldering, PCB delamination or blister, etc