Counterfeiting scalable detection image based system for e-commerce

Abstract

Counterfeiting in e-commerce raises issues this paper addresses through a specialized large-scale reverse image search engine called e-CoS, with a serverless based architecture for high performance. The system is tested in the area of online counterfeiting with promising results. In order to generalize the solution unprecedented cooperation and information sharing are required between all stakeholders of e-commerce with a key part being reserved for the general public. The prospect of such mass adoption is made possible by the growing ethical concerns of modern-day consumers, fueled by the enormous negative social and economic impact of counterfeiting.