Quality Inspection at Manufacturing Industry

"This case study showcases how Winjit’s Machine Vision was adopted in a Meter manufacturing unit for
checking the quality of the meters produced at a large scale level."

Introduction

Today, every process is on the verge of getting automated. Be it painting a car using robots or driving it on streets using softwares, machine vision has been integrated in almost every domain and has been strengthening its roots ever since. Even in manufacturing industries, machine vision was integrated at a very high scale, eliminating human errors and enhancing product quality

Customer

The client, is an organization having its core competence in manufacturing, design and development of Test and Measuring Instruments and Industrial Control Products, since the last three decades.

Their Delta Meters, are the conventional energy meters that continuously monitor data about consumption of energy over time. The quality control and monitoring of these meters were particularly dependent on the labours, which is vulnerable to poor accuracy, high time management, unorganised data and processes.

The client sought for a way to automate the process while eliminating human errors.

Requirement

To get the overall view of the scenario, Winjit Technologies MV team communicated with product managers to understand the exact requirements. The team identified key requirements as:
Energy meters to be interfaced with RS-485.
Calibration of meter’s needle with the camera.
The solution for automating calibration testing of such meters was developed primarily using Python and OpenCV.
Storing Data over the cloud.
Accessing in-cloud data for further analytics.