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KLASA B
Dołączył: 31 Mar 2011
Posty: 40
Przeczytał: 0 tematów
Ostrzeżeń: 0/5 Skąd: England
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Wysłany: Czw 9:12, 19 Maj 2011 |
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An automatic inspection system of LCD projector based ashore machine vision technology was devised and implemented. Through simulation experiments in the lab,[link widoczny dla zalogowanych], the possibility of the system was validated. In mandate to achieve fast and reliable detection, the high-speed image acquisition equipment and computer workstations were chosen for the going platform to conduct the quality detection of LCD projector in terms of system hardware. The image accretion equipment included high-speed digital CCD camera, lens and 1394b card. FL2-14S3M/C-C digital camera,[link widoczny dla zalogowanych], Flea2 series from Point Grey Company, whose maximum resolution namely 1392x1032 and acquisition rate could up to 30 pictures per second, was selected. LM12JCM fixed-focus lens from Kowa Company was accepted. Aiming by the requirements of projector quality detection, several Detection Tool modules in terms of detecting system software were charted such as dust exam, Liquid crystal board flaw examination, focusing examination, RGB manoeuvre confirmation and synthesis examination through digital image processing algorithms based above Microsoft's Visual C++6.0 development platform.
At present, the projector's quality is detected by handbook basically in the servant market. However, due to cheap efficiency and visual labor occasioned by long period working, it constantly leads to false detection. Meanwhile, the intense light may do excellent injury to workers' eyes. Therefore, we need a extra efficacious detecting method to replace manual an.
In the practical applying, LCD projector was found apt resolve the projector's quality at combining these modules.The main features of system software comprise detecting system settings, image processing and operation detection. System settings partition includes models setting, image revelation and camera settings. Image processing partition debugs the system while models increase. Operation detection section detects images of the projector, saves image message almost non-conformance products automatically and marks out the unqualified space.The results of simulation experiments validation namely the detection system developed in this dissertation possesses practicable hardware and authentic software, which provides a feasible solution to projectors' quality detection.
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