The detection technology for camouflage objects plays an important role in agricultural management, field search and rescue, military detection, and other fields. However, this technology usually requires complex operational models and massive data experiments, which is not conducive to high-speed online detection. In this paper, a detection method for camouflage objects with binary fringe projection is proposed. Three binary fringe images are projected onto the surface of the detection area and the camouflage object intrusion area, respectively, and the edge image is acquired. After the background shadow is eliminated by the mask extraction algorithm and the misplaced fringe is eliminated by the dilation operation, the complete real information of the camouflage object is finally obtained. The simulation and experimental results show that the proposed technology can quickly and accurately attain the real information about the position and contour of camouflage objects in complex environments, which verifies the effectiveness of the proposed method.