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.
CITATION STYLE
Niteesh, T. V., Lohith, B. Y., Gopalakrishna, Y. M., Kumar, R. A., & Nagaraj, J. (2021). Survey paper on smart veggie billing system. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 53, pp. 551–557). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-5258-8_51
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