Reliable Autotech

Reliable Autotech

Overview

Reliable Auto-Tech Pvt. Ltd. is a 500CR company having head office in Nashik and spread world wide. They cater to all the reputed brands such as Mahindras, John Deere, JCB etc.
They were struggling with a complaint related to a critical part wherein bracket angle of the shaft was a fitment concern. When verified gauges, the results were OK, but while fitment, they were not!
Hence, they were looking for a solution wherein this component can be calibrated for all its checkpoints – 14 checkpoints.
But 100% inspection with CMM machine was impossible. That’s when Acme was invited to look into the issue and provide a solution!
  • Purpose: Measuring the geometry(dimension, Angle) of JD-02 part by Image processing.
  • Problem: Two Types of JD-02 part: GY20788 and GY20608 In-accurate dimension and Angle of welding.
  • Procedure: To implement a camera based Inspection system to checking the quality of part

Requirements

  • There are around 14 checkpoints on JD20788 part and 20 checkpoints on JD20608 part.
  • Worker can check only possible checkpoints on mechanical gauge system. Some critical checkpoint still remains in mechanical gauge.
  • Considering the fatigue and the quantum of checkpoints, slippages are imperative. So it affect on accuracy of product.

Our solution

  • Vision based Quality Inspection System is used to measured the dimensions of part
  • Vision based Quality Inspection System measures the dimension with micron level accuracy with repeatability in result for all checkpoints
  • User friendly GUI with predefined reference and tolerance value on screen
  • Engraving is done on those parts which was ‘OK'
  • Reports generated on daily basis.

Results:

  • Vision based Quality Inspection system implemented to check the Quality of JD-02 part.
  • Notification of ‘Pass’ and ‘Fail’ part on digital dashboard and also in Report
  • If the part is ‘OK’ the automation is for engraving the part.
  • Increase in overall productivity
  • Ideal cycle time reduces from 1 min to 30sec with 100% accuracy
  • Increase in overall productivity