Implementation of Face Detection to Count the Number of Mall Visitors

In the current digital era, various data can be generated with the capabilities of a computer system, making it easier and faster to make decisions. Mall is a place for shopping as well as entertainment that presents many well-known brands. In marketing the room to tenants, data is needed that can attract tenants to cooperate with the mall. The method used in this research is the Viola-Jones method which is used to detect objects because this method has an efficient algorithm, so it does not take long to detect objects. There are four main contributions to the Viola-Jones theory, including the Haar Feature, Integral image, Adaptive Boosting or AdaBoost, and the Combination Classifier of Cascade. The purpose of this study is to analyze and evaluate the number of visitors who come as a reference for determining prices for tenants. The results of this study found that the Viola-Jones method can effectively calculate the number of visitors with a face detection approach and make it easier for mall management to get mall visitor data.