arXiv ·
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.
KAUST ·
KAUST has launched the KAUST Challenge: Ideas and Solutions for Hajj & Umrah 2020, in partnership with The Makkah Cultural Forum. The challenge aims to catalyze research, innovation, and economic development in Saudi Arabia. The KAUST Challenge will award 1 million SAR in cash and other prizes for ideas to improve the Hajj and Umrah experience and advance efforts to make Makkah a smart city. Why it matters: This initiative connects AI innovation directly to Saudi Arabia's Vision 2030 and the specific needs of religious tourism, a unique application area.
KAUST ·
KAUST hosted the KAUST Ignite ideation challenge with 90+ students from Saudi universities participating. The three-day event partnered with the Ministry of Hajj and Umrah, SWCC, and SAEI, challenging students to address regional and global issues. Participants formed teams to develop solutions for real-world challenges in water, aviation, and the Hajj experience, presenting their ideas to judges. Why it matters: This initiative fosters innovation and entrepreneurship among Saudi students, addressing critical challenges and contributing to Saudi Arabia's economic transformation.
arXiv ·
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.
arXiv ·
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.
KAUST ·
The provided content mentions KAUST (King Abdullah University of Science and Technology) and its association with King Abdullah bin Abdulaziz Al Saud. It also includes a copyright notice. Why it matters: This is a routine update reflecting KAUST's branding and legal information.
KAUST ·
This is an announcement from KAUST wishing readers well for Eid. It includes a picture of King Abdullah. It states that all rights are reserved. Why it matters: This is a routine announcement from a major regional university.
KAUST ·
A KAUST team designed an enhanced transfer system for Saudi Arabia's Ministry of Health (MOH) to address employee localization challenges. The system aims to improve staff distribution across the Kingdom and increase employee satisfaction by offering transparency and optimized HR allocation. The team, led by Omar Knio, Sultan Al-Barakati, and Ricardo Lima, developed dashboards for real-time application tracking and individual scoring. Why it matters: The collaboration between KAUST and MOH demonstrates the potential of AI and optimization to address critical human resource challenges in the public sector and improve healthcare services in Saudi Arabia.