Projection-mapping-based object pointing using a high-frame-rate camera-projector system

Abstract The novel approach to physical security based on visible light communication (VLC) using an informative object-pointing and simultaneous recognition by high-framerate (HFR) vision systems is presented in this study. In the proposed approach, a convolutional neural network (CNN) object detection method used detect environmental objects that assist spatiotemporal-modulated-pattern (SMP) imperceptible projection mapping for pointing desired objects. distantly located HFR operate at hundreds of frames per second (fps) can recognize localize pointed real-time. prototype artificial intelligence-enabled camera-projector (AiCP) system as transmitter detects multiple real-time 30 fps simultaneously projects results means encoded-480-Hz-SMP masks 480-fps receivers decoding pixel-brightness variations sequences without any camera calibration or complex methods. Several experiments were conducted demonstrate our method’s usefulness miniature real-world under various conditions.