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Detecting Air Quality System Using AI Technology (Ambience)
Supervisor
Wesam Hassan Alsabban
Authors
Lujain Zuhair Edrees
Razan Mohammed Al-jabri
Dalia Talal Al-masri
Raneem Abdulrahman Felemban
Zakia Hani Alghamdi
Project Type
Software Based Project
Project Categories
Artificial Intelligence - Internet of Things - Data analysis
Project Abstract
With the continuous growth of the social economy and the continuous development of modern industry, urban environmental problems are becoming more and more serious, and countries around the world need to pay close attention to environmental pollution This project focus on hajj and Umrah in Saudi Arabia due it hosts Muslims pilgrims from around the world. As a result, Makkah and the holy places become very crowded, hence, there is high chance for pollution. This project aims to monitor air pollution levels by merging Artificial intelligence (AI) to a drone equipped with sensors to scan the air and gather information about quality of the air and the main factors of pollution.
Project Poster
Project Demo
UQU_2020_إنجاز#
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