This course explores the transformative role of artificial intelligence (AI) in detecting and mitigating corrosion in civil infrastructure, such as bridges, tunnels, and buildings. It delves into innovative machine learning techniques, with a focus on convolutional neural networks (CNNs) and generative adversarial networks (GANs), used to analyze and process aerial images captured via drones. By addressing the limitations of traditional manual inspections, the course demonstrates how AI-driven systems can enhance safety, reduce costs, and provide reliable, real-time assessments of structural health.

Participants will gain hands-on insights into:

• Advanced image processing techniques for corrosion detection.
• Integrating UAVs with AI algorithms for efficient infrastructure monitoring.

Through case studies and practical applications, this course equips professionals with the knowledge to implement AI-based solutions for infrastructure health monitoring, aligning with modern smart city initiatives.