In this paper, according to the actual technics of glass bottle production line and basical requirement of the inspection system, the detection algorithms and software of bottle on-line detection system are described based on the hardware environment of Canavision Company. Then some processing algorithms of glass bottle image are presented, as well as the location
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Improving agricultural production efficiency and automaticity is a basic way which achieves modern agricultural production, basing on agricultural foundation position in our country. In recent years, the automatic of quality-rating fruits have been of wider application, however the techniques of the automatic quality-rating system still have big problems. The quality-rating system of Melons which are
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With the rapid development of thread detection technology, as well as higher and higher automation, there are ineffective and hardly satisfy the on-line detection requirement of the mass parts with regard to the traditional detection of external thread. Fortunately, in recent years, the machine vision detection technology has developed into one of the most advanced
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Gansu Province is a main producing areas of melon, including white melon, the old and new varieties are about 20 kinds, in 2007, more than 400,000 tons melon production, however, the economic benefits is not very prominent, which is one important reason is to ignore post-harvest processing. currently, gansu melon is no classification and direct
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OLED (Organic light-emitting display) has been thought to be the next generation display equipment for its brightness in color, large viewing angle, frivolity, and energy saving. Due to the hundreds of complex processes in the OLED manufacturing, defects on the display panel are unavoidable. Recognization and detection of OLED defects is important for quality improvement
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Machine components are the basis of the survival and development of the equipment manufacturing industry. As an extremely vital machine component, a high-quality bearing is necessary. The bearing producers care a lot about the detection of bearing’s producing qualities. Nowadays, corporations adopt artificial methods to defect bearings. The load of work is not only heavy
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Fabric defects detection and quality control are very important in woven fabric production process, but the traditional fabric defect detection mainly relies on artificial detection, which has a high rate of false detection and missed detection. Along with the wide application of computer technology, fabric defects detection, especially the fabric defect detection based on wavelet
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In the modern electronic industry, Printed Circuit Board(PCB), which is the supplier of electronic components’ electrical connections, has been widely used in various fields, meanwhile the quality of the on-board component’ placement will directly affect the product’s performance. In recent years, with the high complexity of the PCB and high increasement of the yield, due
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With the rapid development of informatization, software technology is developing moreand more quickly and it has become an indispensable part in our daily life, also its status androle has become increasingly prominent. Today, the increasingly large scale of software, itsdefects and mistakes are more and more difficult to find, the traditional manual detectionmethod it is
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With energy conservation and emission reduction, hybrid cars develop rapidly as a kindof new energy vehicles,as the core component of power battery, its quality is especiallyimportant. The surface of lithium battery pole piece is easy to be damaged in coating, rollerpress and so on, and these defects will seriously affect the quality of the battery
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