Integration of YOLOv4 architecture into a mixed food price analysis as an automated cashier system
The use of deep learning in computer vision has brought remarkable progress to automation, especially in the food service sector. This study introduces an automated cashier system built on the YOLOv4 framework, designed to detect mixed food items on a tray in real-time and calculate their prices. Th...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
IEEE
2025
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| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/47176/1/Integration%20of%20YOLOv4%20Architecture%20into%20a%20Mixed%20Food.pdf https://umpir.ump.edu.my/id/eprint/47176/ https://doi.org/10.1109/ICSECS65227.2025.11278968 |
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