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Based on Image Analysis wheel alignment detection technology
Author: LiuZuo
Tutor: FangHongBing
School: Nanjing University of Technology and Engineering
Course: Optical Engineering
Keywords: Wheel alignment Machine Vision Tilt sensor Laser line source Projection
CLC: TP274
Type: Master's thesis
Year: 2012
Downloads: 62
Quote: 0
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Abstract
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The development of the automotive industry is undoubtedly right wheel alignment parameters of the test put forward higher requirements, so also make detector test is becoming increasingly important . The development of machine vision wheel alignment verification device to study added a new idea , this article will be applied to the principle of machine vision wheel alignment verification device for wheel alignment detection parameters camber and toe angle measured simultaneously proposed solution . For the camber angle sensor measuring systems used directly ; For the first beam angle , the system through machine vision in the way. Toe angle measurement of the specific method is to use cameras capture and process a row of light laser line projected image , calibration get the toe angle and the relationship between the projection position , and then by measuring the projection position , according to the paper deduced toe angle and laser projection approximate linear relationship between the position interpolation . The entire system using VC6.0 and KEIL2 software platform , application MFC technology, USB transmission technology , image processing algorithms to be realized . It can be divided into the framework of the host computer , USB transmission and image processing of these three modules. In these three modules work together , the system will measure the required parameters extracted indirectly , draw angles measured and displayed on the host machine frame. After the system is successfully established , the paper and measure the actual data collected positioning parameters, using real and measured values ??validates the feasibility and accuracy , and system analysis based on the actual cause of the error .
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