Digital Interactive Kanban Advertisement System Using Face Recognition Methodology

Feng-Yi Cheng, Chu-Ja Chang, Gwo-Jia Jong

Department of Electronics Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung.

DOI: 10.4236/cweee.2013.23B005                

Abstract

Most of advertisement systems are presently still launch the publicity content by the static words and pictures. Recently, this static advertisement model will not be able to attract people’s attention more and more. Moreover, the static information content of advertisement system is limited because of the layout shown size. It can not also fully demonstrate the information content of advertisement system. In this paper, we develop a digital interactive kanban advertisement system using face recognition methodology to solve these problems. The system captures the person’s face through the camera. The digital advertisement content size is relevant by the person and camera observation locations. In this paper, we adopt the Adaboost algorithm to judge people face, and the system only need to grab the position of the face. The system doesn’t built expensive and complex equipment to reduce the system cost and enhance the system performance. This system can also achieve the same similar digital interactive advertising effectiveness.

Keywords

Face Recognition; Kanban Advertisement; Adaboost; Interactive

Conflicts of Interest

The authors declare no conflicts of interest.

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