Prototype for enhanced product data acquisition based on inherent features in logistics

Information builds the base of modern logistics. In the past companies have started collecting basic parameters, but for the purpose of extended product-identification the existing approaches are not sufficient. In this paper we present a system for enhanced information acquisition based on inherent features of products. Our prototype includes a hardware installation as well as a software framework to acquire reliable parameters and images of items in a parallel process for the use of logistic applications. The consequent use of image processing obtains superior grade information. This was used to develop valuable applications, such as a reverse matching algorithm for products in logistic applications. Based on this highly potential system we present an outlook of further value-added services.