Construction of intelligent building sky-eye system based on multi-camera and speech recognition

Abstract

The use of advanced science and technology to build a smart new community is the need of today’s social development. Smart communities use IoT technology and cloud computing technology to make life in the community more intelligent. Smart buildings can make better use of resources and can save energy and at the same time serve community residents efficiently and conveniently. The development of smart buildings has also led to the progress of smart cities. The degree of intelligence of the community is a manifestation of the level of development of smart cities. Based on the single-camera multi-target tracking system, due to the limitations of the camera’s field of view, it is often impossible to track the moving target, and it is difficult to solve the target occlusion problem in complex scenes. We can use multiple cameras to obtain the information of the target in different perspectives and use the corresponding relationship of the same target in different views to achieve continuous tracking of multiple targets. In this paper, we propose a smart building sky-eye system based on multi-camera recognition technology. The simulation results show that the proposed method has higher efficiency.