Most of advertisement systemsare 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.
Cite this paper
Cheng, F. , Chang, C. and Jong, G. (2013) Digital Interactive Kanban Advertisement System Using Face Recognition Methodology. Computational Water, Energy, and Environmental Engineering, 2, 26-30. doi: 10.4236/cweee.2013.23B005.
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