Automated Store Billing System Based on Deep Learning (Image Detection and Computer Vision)

Ghanti, Vikaykumar (2023) Automated Store Billing System Based on Deep Learning (Image Detection and Computer Vision). Masters thesis, Dublin, National College of Ireland.

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Abstract

The potential of human errors in recording, transcribing product prices and calculating during checkout leads to customer dissatisfaction and loss of revenue to the stores. So, the aim of this research is to generate bill for customers on top of the fruits they have selected without depending on the internet and cloud. By which the technology can be spread across different remote parts of the world. To achieve this, four different deep learning algorithms like CNN, RCNN, ResNet, AlexNet and four different machine learning algorithms like SVM, KNN, Logistic Regression and Naive Bayes are implemented and evaluated on five fruits (Avocado, AppleBraeburn, Banana, Apricot and Beetroot) of Fruit 360 degree dataset obtained from GitHub. Through extensive experimentation, it was found that by achieving 98.46% of mean accuracy, 99% of precision, recall and F1-score AlexNet outperformed all other algorithms by accurately detecting the fruits. On addition to this, confusion matrix analysis further substantiated the exceptional performance of the AlexNet. 10 epochs were considered to build the model, where accuracy increased from 49.63% at 1st epoch to 98.46% at 10th epoch. In short, the proposed system with AlexNet algorithm on top of the selected dataset provides cutting edge solution for bill generation for the customers without depending on internet and cloud by using Alexnet deep learnign algorithm.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Rustam, Furqan UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence > Computer vision Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence > Computer vision Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning H Social Sciences > HD Industries. Land use. Labor > Specific Industries > Retail Industry
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Tamara Malone
Date Deposited:	22 Nov 2024 11:19
Last Modified:	22 Nov 2024 11:19
URI:	https://norma.ncirl.ie/id/eprint/7188

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