Airbus Aerothon 6.0 (BY TEAM 8848)

DEPLOYED-LINK

demovideo.mov

Problem Statement -

• The Dual Risks of Faulty Wiring and Structural Damage in Aircraft

Problems Faced -

• Aircraft maintenance ensures safety, reliability, and regulatory compliance. Assessing and repairing damage and faulty wiring are essential for flight safety.
• Structural damage and faulty wiring can lead to catastrophic failures, in-flight emergencies, or fires, endangering passengers and crew.
• Regular inspections and timely repairs are crucial to prevent accidents and maintain public confidence in aviation

Idea Approach -

• Trained, tested, built and deployed models using different algorithms to compare and differentiate accuracy and results from training basic CNN model to advanced deep learning based object detection model.
• Utilized generative AI chatbots to provide repair recommendations, conduct damage assessments, and aid in risk mitigation for aircraft, enhancing maintenance efficiency.
• Integrated scalable features that enable real-time image/video processing for damage detection through external sources such as IoT-based models.
• Implemented CAD 3D projection that visualizes the shortest path to locate damage using Dijkstra’s algorithm, optimizing repair procedures and reducing downtime

Model Training via Google Collab

For Image Detection Analysis-

Testing.Image.Analysis.Detection.mp4

For Video Detection Analysis-

Testing.Video.Analysis.Detection.mp4

Damage Detection Features from testing Basic to Advance Deep Learning Model

-These features are deployed on our website, allowing us to manually check aircraft damage detection using different models for more efficient accuracy and results.

CNN Based Model Prediction

CNN.Based.Model.Prediction.mov

YOLOv8 Based Airplane Image Analysis and Damage Detection Model

YOLOv8 Based Airplane Motion Video Analysis and Damage Detection Model

TestingVideoResult.mp4

RealTime Image/Video Damage Processing in Aircraft from External Source

CAD 3D Projection for Shortest Path

https://github.com/al-yx/airbus/assets/160076333/ff1963b7-bd39-4217-8ccd-cda5b4e570d0

#Deployed Link and Github repo
Presentation: https://www.canva.com/design/DAGGIBkWwpo/YTBu68szV_E5uHodne5BLQ/view?utm_content=DAGGIBkWwpo&utm_campaign=designshare&utm_medium=link&utm_source=editor#1

1. CNN Based Airplane Damage Detection Model
   🔗Github Link: https://github.com/bishalrauniyar/Aerothon-6.0-Aircraft-Damage-Detection-
   ✨Deployed Link: https://cnnbaseddamagedectionmodel.streamlit.app/
   

2. YOLOv8 Based Airplane Image Analysis and Damage Detection Model
   🔗github link: https://github.com/bishalrauniyar/Aerothon6.0-YOLO-based-feature1-ImageAnalysis
   ✨Deployed link: https://huggingface.co/spaces/bishalrauniyar/Yolov8based-ImageAircraftdamagedetection
   

3. YOLOv8 Based Airplane Video Analysis and Damage Detection Model
   🔗Github Link: https://github.com/bishalrauniyar/Aerothon6.0-YOLO-based-feature2-VideoAnalysis
   ✨Deployed Link: https://huggingface.co/spaces/bishalrauniyar/Yolov8based-VideoMotion-Aircraftdamagedetection
   

4. RealTime Image/Video Damage Processing in Aircraft from External Source
   🔗Github: https://github.com/bishalrauniyar/Aerothon6.0-Feature3-Realtime-Image-Video-Processing-
   ✨Deploy: https://huggingface.co/spaces/Team8848/Real-Time-ImageVideoProcessing-Damage-Detection-Model
   

5. 3D CAD models
   Shortest path algorithm and Structural Stress point analysis
   🔗GitHub: https://github.com/SeineAle/shortest-path , https://github.com/SeineAle/CAD-models-for-Aerothon
   ✨Deploy: https://shortest-path-airplane.netlify.app , https://airplane-stresspoint-analysis.netlify.app/

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Authors and Roles

• Bishal Kumar Rauniyar(Lead) - https://github.com/bishalrauniyar
• Rishabh Sharma - https://github.com/redhairrs
• Paras Jain - https://github.com/SeineAle/shortest-path
• Shruti Kumari - https://github.com/al-yx