A proposed recognition system aims to identify missing persons, deceased individuals, and lost objects during the Hajj and Umrah pilgrimages in Saudi Arabia. The system intends to leverage facial recognition and object identification to manage the large crowds expected in the coming decade, estimated to reach 20 million pilgrims. It will be integrated into the CrowdSensing system for crowd estimation, management, and safety.
This paper proposes a smart dome model for mosques that uses AI to control dome movements based on weather conditions and overcrowding. The model utilizes Congested Scene Recognition Network (CSRNet) and fuzzy logic techniques in Python to determine when to open and close the domes to maintain fresh air and sunlight. The goal is to automatically manage dome operation based on real-time data, specifying the duration for which the domes should remain open each hour.
Saudi Arabia is deploying various AI technologies to enhance the Hajj experience for millions of pilgrims. These applications include AI-powered solutions for crowd management, logistics optimization, security monitoring, and personalized pilgrim services. The initiatives aim to improve safety, efficiency, and overall comfort during the annual pilgrimage. Why it matters: This showcases a significant national effort to leverage advanced technology for large-scale event management and public service, setting a precedent for similar applications globally.
Saudi Arabia is expanding its use of artificial intelligence to enhance services for Hajj pilgrims. This initiative aims to improve various aspects of the pilgrimage experience, including logistics, crowd management, and personalized guidance systems. The deployment leverages advanced technologies to ensure a smoother, safer, and more efficient journey for the millions of visitors. Why it matters: This showcases the Kingdom's commitment to integrating advanced technology for large-scale public service and its potential for broader application in smart city initiatives and major event management.
The paper introduces a novel method for short-term, high-resolution traffic prediction, modeling it as a matrix completion problem solved via block-coordinate descent. An ensemble learning approach is used to capture periodic patterns and reduce training error. The method is validated using both simulated and real-world traffic data from Abu Dhabi, demonstrating superior performance compared to other algorithms.
A research paper proposes a smart waste management system called TUHR for Makkah, Saudi Arabia, leveraging IoT and AI to handle waste accumulation during the annual pilgrimage. The system uses ultrasonic sensors to monitor waste levels and gas detectors to identify harmful substances, alerting authorities when containers are full or hazards are detected. The proposed system aligns with Saudi Vision 2030 by promoting sustainability and improving public health through optimized waste management.
Saudi Arabia is reportedly expanding its application of artificial intelligence technologies to enhance services provided to Hajj pilgrims. This initiative aims to leverage advanced AI solutions to improve various aspects of the pilgrimage experience. The expansion signifies a commitment to modernizing logistical and support systems for the millions of visitors attending Hajj annually. Why it matters: This development reflects Saudi Arabia's strategic focus on integrating AI into national services and critical events, potentially setting new standards for large-scale event management and religious tourism.
Saudi Arabia has introduced an AI-featured mobile device designed to expedite procedures for Hajj pilgrims. This initiative aims to streamline various administrative processes, such as identity verification and data processing, for the millions of individuals undertaking the annual pilgrimage. The deployment seeks to enhance efficiency and improve the overall pilgrim experience by leveraging artificial intelligence. Why it matters: This application showcases Saudi Arabia's commitment to leveraging advanced AI technologies for large-scale public service delivery and optimizing major religious events.