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Design and Implementation of Automatic Detection System for the Superb Wide Vehicle

Author: ZhangQiuMin
Tutor: DongHui
School: Dalian Maritime University
Course: Electronic Science and Technology
Keywords: ARM Linux Embedded system Image processing
CLC: TP391.41
Type: Master's thesis
Year: 2012
Downloads: 25
Quote: 0
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Abstract


With the rapid development of the logistics industry, the business of port container is booming, and the container transport vehicles of entering or leaving ports increase. General purpose container has a standard size, but the sizes of some special purpose container, go beyond the standard container size. When the superb wide of the container transport vehicles pass the conventional detection channel or charge channel, not only will affect traffic speed of channel, cause congestion, but also can cause damage to the destruction of the testing facilities.In order to reduce the accidents and avoid unnecessary economic loss, a Automatic Detection System for the Superb Wide Vehicle is developed based on embedded system, the system can give the drivers in a early warning to choose special channel. The mainly work of this paper are following:(1) Linux system to cut compiled, rewritten the OV9650image acquisition module driver, realize image acquisition;(2) The C++language application and call OpenCV library is designed in the image smooth, image filtering, connectivity analysis method to noise and the method of removing shadow;(3) According to the actual image to collect and be the object of the relationship between the geometry is deduced, the image of the target module long and the wide and the actual object to be tested the conversion relation of long and the wide;(4) Design the man-machine interface, convenient to observed to acquisition of the image, and show the actual size measured goal.This system in addition to used in ports, but also can be used to bridge and tunnel, realize the vehicle monitoring measurement, so as to reduce the traffic accident.

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