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汽车工业领域的机器视觉解决方案

Machine Vision Solutions in Automotive Industry

作者:Pinnamaneni Bhanu Prasad;N. Radhakrishnan;S. Shankar Bharathi 作者单位:Rajalakshmi Engineering College, Chennai, India, Matrix Vision GmbH, DE 71570 Oppenweiler, Germany;Rajalakshmi Engineering College, Chennai, India;Rajalakshmi Engineering College, Chennai, India 加工时间:2015-07-24 信息来源:科技报告(DE) 索取原文[14 页]
关键词:汽车;可视化;汽车工业
摘 要:Present day consumers have wide variety of demands and needs leads to increased complexity in automobiles. The price war and high quality, imposes the automobile manufacturers to have flexible design with zero defects in a highly competitive market. Unlike other industry, the quality of automobile depends on parts (manufactured and supplied by third party supplier) used and on the assembling the vehicle. To achieve the high quality that is demanded by the customers, manufacturers and their suppliers must rely on Machine Vision to prevent defects at multiple stages of production. Machine Vision can be used to inspect the quality of automobile parts, pick and place using robots, assembly line (inspection before, after and placement verification), to find missing parts, completeness, welding and painting guiding on finished automotive bodies. In addition to this, Machine Vision is also used for parts traceability decoded by reading OCR, data matrix and barcode. Different automobiles can have different quality of parts depending on price range. Machine Vision can also be used to classify automotive parts based on the required quality using measurements. This publication explains the basics of machine vision and explore the solutions that can be used in automobile industry at different stages of production.
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