Study of FPGA-based visual detection for pointer dial

The lubricating oil pressure of ball mill in ore dressing plant is a critical real-time monitoring parameter. In this paper, bilinear interpolation, DoG filter, Marr-Hildreth edge detector and watershed algorithms are studied on FPGA. In particular, the algorithm HVPP is proposed. Segmentation, extraction and number identification are realized for the pressure pointer dial image by using these algorithms, such that intelligent reading for the gauge is achieved. Experiment shows that employing the fast algorithm based on logic circuit to accomplish the machine recognition has advantages of good real-time performance and high recognition rate.