Abstract: In the plate production process, accurate contour measurement is not only the key cornerstone for optimizing the rolling process and adjusting equipment parameters, but also a decisive factor in ensuring product quality accurately meets customer needs. Considering that the current advanced plate surface defect detection system can efficiently produce detailed image data, this paper attempt to explore a new path to integrate surface defect detection and plate contour measurement, striving to achieve the high-precision goal of contour measurement at a lower cost. By fully utilizing the high-resolution plate images output by the surface defect detection system, a series of data processing steps are implemented, including image distortion correction, precise adjustment of attitude and tangential angles, and thickness and jitter compensation algorithms based on binocular vision technology, in order to accurately restore the actual size information of the plate. During the process, a dual-position detection and calibration mechanism for the upper and lower surfaces of plate is also introduced, effectively eliminating measurement errors caused by lateral displacement during plate movement, ensuring the authenticity and accuracy of contour data. The generated contour data can not only be used for traditional length and width measurements, but also further cover advanced analytical dimensions such as rectangle evaluation and sickle bending detection, providing comprehensive and high-precision data monitoring and feedback for plate production.