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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

Detecting Air Quality System Using AI Technology (Ambience)

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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