Smart Payment System and Goods Billing Management

Abstract

In this paper we Current result  Billing Management for Goods  use a manual  system to shop  input in different systems. The system is prone to numerous anomalies and frauds spread across result sensitive data. There is no way analyze the result data. We want  to propose a solution for a secured and automated system to manage Goods data and billing system  securely and reduce the manual efforts.

It is essential to have an automatic billing system for goods In the present scenario of supermarket and other wholesale & retail stores. Numerous billing systems like barcode scanning mechanism-based systems or tag-based systems are available in the market. It is important to replace such existing system with better and robust systems so hereby we proposed “Smart Payment System and Goods Billing Management.”

However, product recognition is a tough task because the same product can be photographed from different angles, in different lighting, with varying levels of occlusion, etc. Also, different fine-grained product labels, such as ones in royal blue or turquoise, may prove difficult to distinguish visually. Fortunately, properly tuned convolutional neural networks can effectively resolve these problems.

Currently the results are processed manually  there is no such system for Goods Billing by e commerce industry  and upload to results for further information to  online system, which leads to

Error prone operations   Selection of required goods with minimal time span. No way to see overall picture for all the available goods.  The above challenges lead to insecure result data ,time consuming and missing business Intelligence.