Interactive multimedia for kanban commercial system

Traditional kanban commercial usually obtains the product evaluation through questionnaires. However, it is a waste time and money, and the effect of kanban commercial is not good. In this paper, we develop and combine the interactive media push technology with face recognition system to solve the commercial statistical problem and the effect. The paper system will capture the person´s face for concentration to watch the real time advertisement monitor picture or movie. Then, we can depend on the position of the face to make corresponding action that attract person to continue watching. At the same time, this system can save the information of people flow count to database for avoiding to count the same person repeatedly. When the end client(interaction), system will use the mobile phone system to send the user a text message that coupon of advertising goods, user take this text message to buy goods, increase the effect of advertising. We integrated facial features characteristics with Adaboost algorithm realized face recognition, using Adaboost algorithm can further improve precision of face detection.