Structural Damage Detection using UAV and Neural Network

Application of UAV technology and neural networks for detecting structural damage in buildings and infrastructure.

Key Achievements

• Programmed the application of UAV technology in conducting aerial inspections for detecting structural damage in buildings and infrastructure
• Developed and trained a neural network model to analyze aerial imagery captured by UAVs and identify potential structural damage
• Implemented data preprocessing techniques to enhance the accuracy and efficiency of the neural network model
• Conducted experiments and evaluated the performance of the developed solution, demonstrating its effectiveness in detecting structural damage
• Utilized image analysis, and machine learning algorithm, with a focus on real-world applications in structural assessment and inspection
• Presented project findings and outcomes to faculty and peers, highlighting the potential of UAVs and Neural Networks