Billing System for Groceries with Object Recognition

Object recognition systems can have some very useful applications. This system can be used with minimum human involvement. This system can be very helpful for developing an automated billing system. For edible products like vegetables and fruits, bar-codes and RFID tags cannot be used as they have to be stuck on each of the items and the weight of each item must be individually measured. The proposed system consists of a camera which detects the commodity using Deep Learning techniques. In this article, the machine learning algorithm is applied to the detection of groceries, and some progress has been made in this direction. A real time application for automated billing is developed in which customer can bill his purchase using a Graphical User Interface on a computer screen integrated with a camera. The system is also developed for simultaneous detection of multiple objects offering advantage over barcode-based billing system. By using modern object detection techniques, we can increase the accuracy of the application as for application like billing system, accuracy of recognition is very crucial for correct billing.