Autonomous monitoring of transportation infrastructure in Oman using dragonfly-inspired drones

This research paper explores the implementation of autonomous monitoring systems using dragonfly-inspired drones for transportation infrastructure in Oman. The study examines the unique features and capabilities of biomimetic dragonfly drones, their integration with artificial intelligence for navigation and monitoring, and methodologies for effective deployment in Oman's diverse environmental conditions. Through comprehensive analysis and case studies, the paper demonstrates significant advantages in inspection efficiency, defect detection accuracy, cost-effectiveness, and environmental sustainability compared to traditional monitoring approaches. The research includes detailed performance metrics, infrastructure condition projections, and cost-benefit analysis that quantify the value proposition of this innovative technology. The paper also addresses implementation challenges specific to Oman's infrastructure landscape and regulatory environment, proposing policy recommendations and future research directions. This work contributes to the advancement of infrastructure management practices in Oman and similar developing economies investing heavily in transportation infrastructure. For the keywords, select up to 8 key terms for a search on your manuscript's subject.