All Projects
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AI-Driven Structural PerformanceActiveAI-StructVision: Teaching AI to Recognize Dangerous Structural Damage
PI: Dr. Tadesse Wakjira💰 $5,000 · KSU (Internal)
Can AI learn what ‘dangerous damage’ looks like in critical infrastructure?
5
Students
Bhatnagar, Boynton, Chet, Henock, Ruiz
Safety
Focus
Damage severity AI
CV
Method
Computer vision
Model
Output
Severity classifier
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Overview
This project explores whether AI can be guided to recognize when structural damage is truly dangerous.
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Novel Contributions
1
Severity-Aware Classification
Goes beyond binary damage detection to classify structural damage severity.
2
Engineer-Guided AI Training
Training data labeled using criteria engineers apply during real inspections.
3
Ethical AI in Safety-Critical Systems
Students reflect on implications of AI in high-stakes decisions.
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Technology Stack
Computer VisionDeep LearningPythonImage ClassificationTransfer Learning
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Interested in This Research?
For code access, collaboration opportunities, or questions about this project, please contact the PI (Dr. Tadesse Wakjira) directly.