Smart Billing in Kirmas
M.Ramani, T. Vasantha Kumar, G. S. Nareshkumar, P. Mohankumar, S. Abilayan
TensorFlow, Object detection, RCNN and Faster RCNN.
In this rapid world, time and accuracy are the two foremost things of our life. But we spend most of our time in terms of billing in the billing counters of the retail shop. There are many methods obtained for this determination. All these methods are also dawdling the time because the customers have to make a line to make their billing in the counter. This effort defines the well-organized system that detects the purchased products of the customer. This billing is made by using a web camera attached in the bill counter that is endlessly capturing images of Purchased products, identify the products in images and equate the detected products with the database and update it in the bill. By this proposed idea, we can reduce the time in billing process and can also increase the accuracy. This module captures the image and detects the purchased items by processing it and produces the bill as output. So, the customer need not wait in long tiring queue for the billing process. This process improves system performance and provides time management.
Article Details
Unique Paper ID: 159125

Publication Volume & Issue: Volume 9, Issue 11

Page(s): 581 - 585
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