This paper describes the development of high-speed face detection application using 1000 FPS camera with USB3 connection. The detection process is implemented with the OpenCV technology called "cascade classifier" and the algorithm consists of, famous, classical but quite effective "Haar-like feature". We explain the fundamentals of the workflow that takes the maximum advantage of the high-speed camera and high-speed computer vision algorithms. It shows the merit of the high-speed facial detector, which cannot be achieved with a traditional camera and application. In addition, we shows how to achieve a massive improvement in processing performance by leveraging the processing cores of the GPU.