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Application Of Image Process Technology To Beer Bottle On-line Inspect System

Posted on:2005-06-17Degree:MasterType:Thesis
Country:ChinaCandidate:Y L WangFull Text:PDF
GTID:2168360152465765Subject:Computer technology
Abstract/Summary:PDF Full Text Request
Excogitating a machine with reasonable price, by which beer bottle can be inspected on-line, is senility for vast medium-sized and pint-sized beer manufacturing enterprise to help them improve their production's quality and adapt to technology development. To meet need of medium-sized and pint-sized beer manufacturing enterprise, research on beer bottle on-line inspect system has been outspreaded.This thesis detailedly summarizes our research harvest on bottle base inspection module. Firstly, on the bases of comprehending domestic and overseas research status, integrating the situation of our country and market demands, research targets has been established. Secondly, by starting from the research targets, principle project has been put forward, and corresponding hardware has been selected and manufactured. Finally, requirement analysis has been devised from point of view of system, lay emphasis on research harvest in inspect algorithm, and detailed design, coding, testing also has been mentioned.Expectant research plan has been fulfilled, and anticipate research aim achieved. A sample has been apply to locale. Innovation of this machine lies in its unique optics imaging system and novel in addition efficient inspect algorithm of bottle bottom. The equipment meets exigent need of medium-sized and pint-sized beer manufacturing enterprise. Succeeding in research is senility for vast medium-sized and pint-sized beer manufacturing enterprise to help them improve their production's quality and adapt to technology development. The key of equipment consummating rest with function extending, infection that manufacturing quality of bottle has inflicted, and perfection on illumination automatic compensation for mixed bottle.
Keywords/Search Tags:on-line inspect system, beer production, image process, pattern identify
PDF Full Text Request
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