Circular saw core localization in the quenching process using machine vision

Abstract

The quenching of the core of a circular saw determines the stress, hardness and flatness of the saw, which greatly affect its cutting performance. We have designed a new heat-treatment production line to model the quenching process, in which the quenching performance is determined by the position of the circular saw core on the quenching platen. In this short communication, we propose a circular saw core localization system based on machine vision that can be applied during the quenching process. In the proposed system, a perspective transformation method is applied to transform the captured oblique-view image into a vertical-view image. Then, a support vector machine is used to classify two types of circular saws. An image processing algorithm is applied to extract the circular saw core from the vertical-view image. The Hough transform is used to detect the center of the circle. Finally, the maximum overlapping region algorithm is used to obtain the accurate position of the circular saw on the quenching platen. To verify the robustness and universality of the circular saw localization system, we tested circular saw cores under different conditions. The test results show that in a real quenching scenario, the proposed system exhibits high localization accuracy and universality. This system can be effectively applied for quenching process monitoring in industry.