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Smart Traffic Light Based on Ambulance's Image and Siren Detection

Interim Semester 2020/2021

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Main Author: Nur Nabilah Husna binti Shahrulhisham
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Language:English
Published: 2023
Subjects:
Smart Traffic Light
Object Detection
Siren
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spelling my.uniten.dspace-212422023-05-04T22:33:11Z Smart Traffic Light Based on Ambulance's Image and Siren Detection Nur Nabilah Husna binti Shahrulhisham Smart Traffic Light Object Detection Siren Interim Semester 2020/2021 The traffic light is designed specifically to reduce traffic congestion and allow smooth traffic flows at the intersection. Traffic light mainly consists of three different lights that will illuminate in sequence. Red, yellow and green colours are typically used for a traffic light. However, due to population increases every year in Malaysia, the demand for the private vehicle also increases. With the number of vehicles keeps increasing year by year on the road, the occurrence of traffic congestion is very hard to resist. This leads to a problem for the emergency vehicle to get through the traffic light junction quickly and safely. Any Delay encounter by the emergency vehicle can lead to other serious problem especially when involving the life of a person. A traffic light that is designed specifically to detect the presence of the emergency vehicle such as ambulance and prioritize the lane can be helpful. Allowing the ambulance to have green light can reduce the waiting time at the traffic light junction. Detection of the ambulance near the traffic light junction doesn’t determine the vehicle is on the emergency condition, thus a siren detector is required to make sure the ambulance is in emergency status. In this project, the smart traffic light control system based on the ambulance image and siren is proposed. The system deals with the detection of the ambulance and its siren as approaching the traffic light junction. If the emergency ambulance is detected the traffic control system will activate the green light of the traffic light to the lane, thus facilitate the movement of the ambulance. The object detection model created using the Malaysian vehicle dataset that can detect four type of vehicle classes including ambulance police car fire trucks and car. The model created using deep learning process that undergoes the training process using laptop NVIDIA GeForce GTX GPU. In this project the siren detection model obtained from the pre-trained model by Tensorflow in GitHub website. The siren model used to detect the presence of the siren near the traffic light junction from other different noises that are available on the road. The process involves setting up the project includes creating a traffic light control system, creating an object detection model and lastly to use sound detection model to detect the siren sound. The result of the project is discussed and analysed if the system works as planned. The conclusion of the project proposed been conclude and some future improvements to the smart traffic light system also discussed. 2023-05-03T16:19:55Z 2023-05-03T16:19:55Z 2020-09 https://irepository.uniten.edu.my/handle/123456789/21242 en application/pdf
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
topic Smart Traffic Light
Object Detection
Siren
spellingShingle Smart Traffic Light
Object Detection
Siren
Nur Nabilah Husna binti Shahrulhisham
Smart Traffic Light Based on Ambulance's Image and Siren Detection
description Interim Semester 2020/2021
format
author Nur Nabilah Husna binti Shahrulhisham
author_facet Nur Nabilah Husna binti Shahrulhisham
author_sort Nur Nabilah Husna binti Shahrulhisham
title Smart Traffic Light Based on Ambulance's Image and Siren Detection
title_short Smart Traffic Light Based on Ambulance's Image and Siren Detection
title_full Smart Traffic Light Based on Ambulance's Image and Siren Detection
title_fullStr Smart Traffic Light Based on Ambulance's Image and Siren Detection
title_full_unstemmed Smart Traffic Light Based on Ambulance's Image and Siren Detection
title_sort smart traffic light based on ambulance's image and siren detection
publishDate 2023
_version_ 1806426411407245312
score 13.214268

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