Image Processing Based Billing System with Edge Computing

摘要

The idea of this paper is to introduce an Image Detection based billing system which leverages edge computing. The idea for the study of this product comes observing the C-shops, where billing of products is generally done manually. All the shops are not technologically advanced or financially rich to use devices like OCR. Also, the mix-up of prices of different products also remains a problem in manual billing. To counter such issues the authors, propose the idea of an image-based billing system, which produces fast and accurate results and works with simple camera devices like a mobile phone. The specialty of this model is that it will differentiate the objects accurately but based on its size meaning that if there are two versions of the same product, one of small size (of price x) and the other of larger size (of price 2x) then it will successfully recognize them and add the price to the billing system accordingly. The precision of the model for object detection is 90%. It has been developed in the form of a web application. Thus, this paper proposes a fully developed software for billing in the local C-Shops.