| As automatic product lines gradually popularize in the processing industry of China, cold rolled medium plates, as the main raw materials of the manufacturing sector, have been set with increasingly exigent standards. Consequently, the shape control of cold rolled medium plates urgently needs to be realized in the metallurgy industry. Moreover, shape detection is one of the crucial priorities of the realization of automatic shape control. Medium plate product lines involve relatively complex working conditions. In particular, other raw materials cannot be compared to the high transportation speed as well as the bad working condition of medium plates on rollers. Such characteristics have made the realization of the real-time performance and the reliability that the detection system requires challengeable. At present, a series of drawbacks of visions-and-contacts-based detection methods have gradually become revealed. What’s more,single-camera devices are not able to meet the requirements of width measurement as well as precision, indicating an absolute trend of highly efficient and precise shape detection. Hence, it is of great realistic significance to develop a new non-contact technology of double CMOS camera profile detection.The aim of this paper is to develop a non-contact profile detection method based on double CMOS image sensor, using medium plates as the research object. In this study, the profile detection of moving medium plates will be performed with the utilization of various devices,including laser lines, image capture device as well as velocity measurement device. This paper emphasizes on the realization of a variety of technologies during the profile detection of medium plates, namely image capturing and coding, edge coordinate extraction, along with specific calibration, and so on, so as to obtain the profile information of such materials.(1) The current status of medium plate profile detection is depicted, with the trend of future development in this field analytically studied. Furthermore, a new detection system is proposedaccording to the current status and requirements of medium plate detection.(2) A new platform is built for profile detections that are based on non-contact double CMOS. On the one hand, a new data transmission structure is constructed in order to transmit large amounts of images quicker. On the other hand, an image coding algorithm based on wavelet transform is put forward and applied in the transmission of image data so that remarkably higher efficiency is achieved.(3) So as to obtain the velocity data of medium plates when they are moving, a speed measurement approach based on magnetic grids is designed. What’s more, the obtained speeds are processed and matched with end coordinates in order to simulate the profile of medium plates.(4) A new calibration board is designed to calibrate the cameras in accordance with the camera calibrating principle. The relationship between the shooting height and k, which is the proportionality coefficient of the pixel and actual sizes, is simulated based on the data measured at different heights. Also, the interconversion between space and plane coordinate systems of images is realized via the collection of related calibration parameters.(5) The software of Matlab is utilized to study the algorithm of individual phases in the profile detection of medium plates, including image coding and pre-processing, the extraction of end coordinates of laser lines, image data simulation, along with the match of velocity data and end coordinates, etc. Finally, the precision of detection is analyzed with samples.(6) The research work of this project is summarized, including research contents and achievements. Also, the direction of further research is assumed and planned. |
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