Movement Control of Smart Mosque's Domes using CSRNet and Fuzzy Logic Techniques
Anas H. Blasi, Mohammad Awis Al Lababede, Mohammed A. Alsuwaiket

TL;DR
This paper presents a smart dome control system for mosques using AI techniques, specifically CSRNet and fuzzy logic, to optimize air quality and sunlight entry based on weather and crowding data.
Contribution
It introduces a novel AI-based model combining CSRNet and fuzzy logic for automatic dome movement control in mosques, enhancing comfort and air quality.
Findings
The model effectively controls dome movements based on weather and crowd data.
It automatically determines optimal dome open/close durations.
The system operates efficiently with accurate timing for air renewal.
Abstract
Mosques are worship places of Allah and must be preserved clean, immaculate, provide all the comforts of the worshippers in them. The prophet's mosque in Medina/ Saudi Arabia is one of the most important mosques for Muslims. It occupies second place after the sacred mosque in Mecca/ Saudi Arabia, which is in constant overcrowding by all Muslims to visit the prophet Mohammad's tomb. This paper aims to propose a smart dome model to preserve the fresh air and allow the sunlight to enter the mosque using artificial intelligence techniques. The proposed model controls domes movements based on the weather conditions and the overcrowding rates in the mosque. The data have been collected from two different resources, the first one from the database of Saudi Arabia weather's history, and the other from Shanghai Technology Database. Congested Scene Recognition Network (CSRNet) and Fuzzy…
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