Recently, due to the rapid development of wireless communication technology, IoT devices were rapidly spreading, and the number of devices to which RF-based wireless communication is rapidly increasing. In this situation, there is no concern for the depletion of the RF band compared to the increase in the number of RF-based wireless communication devices. Accordingly, the visible light communication technology that can provide virtually unlimited bandwidth by using a light source as a medium has been in the spotlight, and is attracting attention as an alternative method that can eliminate or supplement the band exhaustion of RF devices in the IoT network. Presently, the PD-based reception technique capable of realizing a high transmission speed for visible light communication technology has been mainly studied, but it has not been widely used due to the need for additional devices. On the other hand, the camera-based light communication technique has the advantage of not requiring the installation of additional infrastructure because it can utilize the camera of a widely used smart device. However, the camera based not used for real-time realization due to the low data rate support. In consequence to the camera based visible light communication (VLC) system, in this paper, we analyze the AI algorithm to detect and recognize the light object for VLC to increase the data rate. In this paper, we implement the technique that can be used for VLC lighting detection, and construct the testbed for proposed solution. This paper presents the result of the existing VLC system compared with the proposed luminary detection technique.
Volume 12 | 01-Special Issue
Pages: 1039-1044
DOI: 10.5373/JARDCS/V12SP1/20201230