A Framework to Evaluate the Advertisement of Digital Signage over the Internet

Abstract

With advances in multimedia and Internet technologies, advertising has entered a digital network era. Digital signage on the Internet has replaced traditional static billboards and becomes the best choice for advertising media. Therefore, verifying the effectiveness of advertisements is critical for advertising agencies to make better decisions in order to increase sales for their clients. This paper proposes an evaluation framework to measure the effectiveness of advertisements on digital signage over the Internet. The framework combines face recognition and data mining techniques to detect in real-time whether customers are looking at digital signage and to record when potential customers are paying attention to advertisements. The longer the total duration is, the better the effect can be assessed. The collected data can be used to evaluate the effectiveness of advertisements and promote targeted sales. Our experiments show that our approach is feasible and meets user expectations.