Hardware architecture for detecting laser point using FPGA

This paper describes pipelined hardware architecture for real-time laser point position detection system by using FPGA. This system processes 640×480 resolution images that were received by the CCD camera. We detected the position of the laser point through the following 5 steps. First, the screen area is detected by Homography transform by using chess board. Second, the system converts the inputted image to HSV color space. Third, HSV color space image is converted to binary image by using threshold value. Fourth, detect the laser point and also the position of the laser point on the binary image. Fifth, Homography transform algorithm is used to convert position of laser point input image to screen image. We can detect position of the laser point input image at real-time by using a dedicated parallel hardware. By using Homography transform algorithm, we can reduce error rate of detection of position. Moreover, we can implement a robust system in various environments. Furthermore, we can also reduce latency of system as this system can show the location of laser point at next frame.