文章基本信息

标题：EFFECTIVENESS OF MACHINE VISION TECHNIQUES IN TRAFFIC MONITORING AND DIMENSION METROLOGY
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作者：Sanjeev Kumar ; Dr. Rakesh Kumar
期刊名称：International Journal of Enterprise Computing and Business Systems
电子版ISSN：2230-8849
出版年度：2012
卷号：2
期号：2
出版社：International Journal of Enterprise Computing and Business Systems
摘要：Machine vision, or the employment of computer-based image resolution and apprehension, is an automation that has manifested it can establish moderately to elaborate the abundance and ambience of manufacturing operations in basically every industry. In some industries many products cannot be generated without machine vision as an elemental mechanization on production lines. Acknowledged technologies in manufacturing impel to be very specific and often capitalize on clever "tricks" associated with manipulating the manufacturing environment. Nonetheless, many useful applications are possible with existing technology. These include finding flaws, identifying parts, gauging, determining X, Y, and Z coordinates to locate parts in three-dimensional space for robot guidance, and collecting statistical data for process control and record keeping and high speed sorting of rejects. Machine vision is a term associated with the merger of one or more sensing techniques and computer technologies. Fundamentally, a sensor (typically a television-type camera) acquires electromagnetic energy (typically in the visible spectrum; i.e., light) from a scene and converts the energy to an image the computer can use.