APPLYING YOLO OBJECT DETECTION SYSTEM TO IMPROVE THE CASHIER SYSTEM
In this study, we present an different approach to enhance current barcode systems by integrating You Only Look Once (YOLO) object detection with current sale systems. The methodology involves the development of a sophisticated AI model capable of recognizing various products commonly sold in ret...
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| Main Author: | |
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/83853 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | In this study, we present an different approach to enhance current barcode
systems by integrating You Only Look Once (YOLO) object detection with current
sale systems. The methodology involves the development of a sophisticated AI
model capable of recognizing various products commonly sold in retail
environments.
This model feeds directly into a custom program designed to match detected
objects with their corresponding prices, thereby automating the checkout process.
The resulting system serves as a proof of concept, demonstrating the feasibility of
using advanced object detection techniques to streamline and potentially
revolutionize retail transactions.
The findings indicate that while the system is effective in its current
iteration, there is substantial potential for future improvements to increase accuracy
and expand the range of detectable items. This research paves the way for further
advancements in automated retail solutions, highlighting the practical applications
of YOLO in enhancing efficiency and accuracy in sales operations.
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