Computer Vision For Quality Control - Softengi

written by: Sergiy Tikhonov Head of BA

Whether you call it the 4th Industrial Revolution, Industry 4.0, or Smart Industry, the message is pretty much the same – all industries go digital. Full automation is no longer a fantasy. It is our true reality. Logistics, manufacturing, automotive, retail, oil & gas, pharma, medicine, etc., companies can start the process of digitalization step by step just using the visual data they have accumulated. They all have cameras, after all.

One prominent industrial technology that has been gaining a lot of traction recently is Machine Vision. It helps to deliver superhuman capabilities to the processes that required lots of time and effort from hundreds of employees earlier! To answer the question that you might have, “No, it doesn’t cost much because of the progress in this sphere!”

Just a few use cases where computer vision for quality control has already paid off:

• Using computer vision to assess medical images ( count bacteria on them, determine the presence of any virus);
• Applying computer vision to determine counterfeit goods during thepackaging process;
• Applying machine vision to find cars in forbidden areas;
• Using computer vision for quality control of pests in agriculture;
• Applying computer vision for maintaining a security perimeter;
• Using computer vision for PPE enforcement;
• Applying AI to control the goods on the shelves of the supermarket.

Any repetitive control process from any business sphere which requires human actions can be automated today! And companies that do it see tangible benefits really soon in terms of money and working hours. One important idea before you start reading: each AI-powered system for quality control provides more and more accurate results ( in our last project, we’ve managed to reach 99% accuracy ) with more data fed into it. In contrast to humans who only get more exhausted and inattentive.