The Analysis of User Intention Detection Related to Conventional Poster Advertisement by Using The Features of Face and Eye(s)

Abstract

There are official media to display conventional advertisements such as posters and billboards. However, those cannot tell to the owner related to the effectiveness of the advertisements directly. It can be recognized after the product items have been sold. Based on that problem, there is a requirement related to the media demonstrate an ability to instantly detect user intention. That function explained, generally, is held by a smart advertisement display. On that one, smart components can instantly detect the user intention, are attached to the monitor. Unfortunately, for some companies, the monitor is still expensive to be performed. This condition makes a potential desire to modify the existing smart advertisement system by gently moving the smart components (as an embedded system and a sensor) to other conventional displayed media such as posters. There is an underline state that has to be proven then that the smart modules attached on has to act similarly, likes when they are attached on the monitor. This study observes the ability of the smart components if they are attached to the posters to detect user intention directly. This study uses the previous observation result for elaborating user intention detection by using face and eye(s) features. The result gives a proven fact that smart parts attached to the posters produce the scoring which is relatively the same as the scoring by the smart display system in an arrangement, related to the effectiveness of the advertisement.