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2021 | OriginalPaper | Buchkapitel

Survey Paper on Smart Veggie Billing System

verfasst von : T. V. Niteesh, B. Y. Lohith, Y. M. Gopalakrishna, R. Ashok Kumar, J. Nagaraj

Erschienen in: Evolutionary Computing and Mobile Sustainable Networks

Verlag: Springer Singapore

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Abstract

The purpose of this paper is to automate the process of the billing system of vegetables. Raspberry PI is the heart of this project which monitors all the components in the system. Initially, we capture the different vegetable images and train the AI model with images. These images are used to recognize the vegetables taken by the customer. The camera captures the selected item image and AI model based on convolution neural network recognizes this image using an image recognition technique. Image recognition is not only the technique to find the vegetable, but also using the resistance of the vegetable we can recognize the vegetable. Resistance method of recognizing the vegetable is not suitable because it may cause damage to the vegetables. So we choose an image recognition method. The weight of the item is also measured using the sensor which removes the human intervention in weighing the item. Recognized item and its weight are going to display on the screen. Customer can add or delete the items using user interface. Finally, a bill is created based on the selected items of the customer.

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Metadaten
Titel
Survey Paper on Smart Veggie Billing System
verfasst von
T. V. Niteesh
B. Y. Lohith
Y. M. Gopalakrishna
R. Ashok Kumar
J. Nagaraj
Copyright-Jahr
2021
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-5258-8_51

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