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Defect detection in automobiles

The project constituted of identifying the regions of interest (i.e. regions where the defects may occur) and then identifying if there was a defect in that area.

  • Industry
    Automobiles
  • Domains
    Artificial Intelligence
    Image Processing
  • Year
    2019
  • Tech Stack
    Deep Learning
    Image Procesing
  • Company
    Edge Techno
    TVS

Project Overview

The project was allotted to our team by Edge Techno company who was in turn working for TVS, the aim was to identify the following defects that might occur in the two wheelers at the time of their manufacturing: 

  • Tank eccentric

       tank_eccentric

  • Tank height

        tank_height

  • CBTC flush 

       cbtc_flush

  • Side panel sticker presence 

        side_sticker

 

Need for the project

Manufacturing defects are a major problem for companies. If the product is delivered with these defefcts being left unnoticed during manufacturing, it would result in customer dissatisfaction and the replacement / repair costs will be a burden on the company. If on the other hand the automated system identifies these defects the same may be corrected at the manufacturing time itself.  

The estimated cost savings will be a lot in case the company adopts for the automated defect detection. The system will also prove beneficial in protecting the brand value and preserving customer satisfaction.  

Implementation 

The project is handled in two stages : defect region identification, defect identification. 

The areas where the defects might occur are first identified using deep learning model and then the the region alone is cropped and processed further to identify if the defect is there or not. 

algorithm_of_detection

Outcomes 

We were able to make a GUI based application which succesfully identified. The video demonstration of the same is as follows: 

 

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We were able to kick start our business thanks to the optimum and timely delivery by team Ohuru.”
Shubankar
Salozone
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“Brilliant team, delivers great solutions with cutting edge technologies."
Sanjeev Duggal
Retd. GM, SAIL
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“True professional firm, proved to be a very valuable asset to our organization.”
Vikhyat Chauhan
The Next Move

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