A Cloud-Based Ambulance Detection System Using YOLOv8 for Minimizing Ambulance Response Time

A Cloud-Based Ambulance Detection System Using YOLOv8 for Minimizing Ambulance Response Time

Ambulance vehicles face a challenging issue in minimizing the response time for an emergency call due to the high volume of traffic and traffic signal delays. Several research works have proposed ambulance vehicle detection approaches and techniques to prioritize ambulance vehicles by turning the tr...

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Bibliographic Details
Main Authors: Ayman Noor, Ziad Algrafi, Basil Alharbi, Talal H. Noor, Abdullah Alsaeedi, Reyadh Alluhaibi, Majed Alwateer
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Applied Sciences
Subjects:
ambulance detection
machine learning
YOlOv8
cloud computing
Online Access:https://www.mdpi.com/2076-3417/14/6/2555

Internet

https://www.mdpi.com/2076-3417/14/6/2555

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