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LightSpeed

Car Damage Detection System using AI

Project Details

Team ID 86513
Project Title Car Damage Detection System
College Name L. D. COLLEGE OF ENGINEERING, AHMEDABAD
Department BE - Computer Engineering
Year 2020
Keyword Artificial Intelligence, Machine Learning, Deep Learning, Image Processing, Damaged Car Detection, Insurance Claiming
Internal Guide Prof. Pragnesh Patel

Team Details

  • Mehta Bhavy
  • Shah Keval
  • Shah Het
  • Shah Nigam
  • Tamboli Rushabh

Project Demo Video

https://youtu.be/B4H_FjYRPqg

How to run?

  1. Clone this repository.

  2. Create conda/pip vitrual environment with requirements.txt file.

    • Required module versions are listed in that same file of you want to install manually. Earlier or later versions may not work.

  3. Unzip model.zip in the directory LightSpeed\CDD\static\model.

    • Your directory should look like this: 
       LightSpeed\CDD\static\model
 │   car.h5
 │   door.h5
 │   front.h5
 │   hood.h5
 │   rear.h5
 │   side.h5
 │   window.h5
 │   winshield.h5
 │
 └───bumper
 	│   saved_model.pb
 	│
 	├───assets
 	└───variables
 		│   variables.data-00000-of-00002
 		│   variables.data-00001-of-00002
 		│   variables.index
 		│
 		└───variables_temp_ea0f68758ae940398f50e26c2f256b68
      • Delete model.zip.001-015 files after successfully extracting model files.

  4. Create empty folders as shown below

    LightSpeed\CDD\static\upload
 		├───coldstorage
 		│   ├───front
 		│   ├───left
 		│   ├───rear
 		│   └───right
 		└───predict
 			├───front
 			│   └───a
 			├───left
 			│   └───a
 			├───rear
 			│   └───a
 			└───right
 			    └───a
    • Make sure to create folders, otherwise program will throw errors.

  5. Now change directory to root folder LightSpeed and execute python manage.py runserver

  6. Open http://127.0.0.1:8000 in your browser.

  7. Login or signup and upload your own car images or upload from given test image set from LightSpeed\CDD\static\upload\test folder.