Dissertation
Dissertation > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device

Car dashboard computer vision detection system

Author LiYaJie
Tutor YueXiaoFeng
School Changchun University of
Course Mechanical Design and Theory
Keywords Car dashboard Computer Vision Image processing Signal source driving Hough transform
CLC TP391.41
Type Master's thesis
Year 2010
Downloads 25
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The car dashboard concentrated the entire vehicle instrument display the working condition of the car . Different car dashboard instrument vary , but conventional instruments of the general car has a speedometer , engine tachometer , water temperature gauge , fuel gauge , a variety of signal alarm lights and lighting , etc., before entering the vehicle , need to conduct a final inspection quality . -Like detection methods are manual detection meter pointer indicates error , to determine whether the alarm lights and lights for damage , missing equipment or other appearance defects , this approach by subjective factors such as operator observation angle , distance and the degree of fatigue , error and poor reliability. Instead of artificial computer vision to the dashboard automatically detect various errors caused by manual inspection can be overcome to improve detection accuracy and efficiency . Relying on technological development projects in Jilin Province (No. 20080535 ) in auto dashboard computer vision detection research papers , design of automatic detection system based on computer vision detection technology car dashboard . Thesis design work includes : the design of the source drive vehicles each instrument so that the meter pointer rotation , shooting dynamic car dashboard image stored in the computer for image processing ; using median filtering method to remove noise in the image pre-processing , using Laplace operator sub - edge detection , the use of the otsu methods meter image binarization ; using image morphological transformation, proposed closing operation after first use refinement algorithm , experiments show that this method can effectively remove the interference image acquisition ; using Hough transform algorithm for process optimization , extraction of the straight line of the automobile instrument pointer , to improve the detection accuracy and processing time of the dashboard instrument pointer ; through the angle method, and the comparison of the distance method , determined using the readings of the distance method automotive instrument pointer , and further improve dashboard instrument pointer detection accuracy. Experimental results show that , In this paper, the design of automobile instrument pointer extraction algorithm has strong anti-interference ability and stability . Online testing using computer vision technology for automotive instrument will gradually replace manual inspection , automotive instrument detection industry mainstream .

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