Problem Statement

Prominent Automobile Manufacture in India had massive rejections in their gear manufacturing facility. The human operator’s skill was critical in identifying the product defect.

Solution Implemented

Automate the process by using a combination of sensors and  Machine Learning algorithms

  • Used a combination of acoustic and vibration sensors for the project.
  • Trained the algorithm on 500 jobs with a mix of  acceptable and unacceptable jobs.


Reduced the rejection rate by 50%

Vibration sensor installed on the chuck of the machine

Project Installation

Machine control panel
Display shows if the product is OK or NOT OK for each job
Control panel signal tower
Tower Lamp for easy identification by operators on the shop floor
Entire Machine
Easy for the operator to use

Products used in this project

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