Use Cases Visual Quality Detection

Visual Quality Detection

Visual quality detection automates the analysis of products on the production line or equipment in production facilities for quality control using machine vision. Machine vision is the technology and methods used to provide image-based automatic inspection. It is a system that uses visual computing technology to mechanically “see” the activities that take place one by one along the production line. The components of an automatic inspection system usually include lighting, a camera or other image acquiring device, a processor, software, and output devices. Machine vision surpasses human vision at the quantitative and qualitative measurement of a structured scene because of its speed, accuracy, and repeatability. A machine vision system can easily assess object details too small to be seen by the human eye, and inspect them with greater reliability and lesser error. On a production line, machine vision systems can inspect hundreds or thousands of parts per minute reliably and repeatedly, far exceeding the inspection capabilities of humans. It also uses artificial intelligence to mimick human level intelligence to distinguish anomalies, parts, and characters, while tolerating natural variations in complex patterns. It merges the adaptability of human visual inspection with the speed and reliability of a computerized system.
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Fully Automated Visual Inspection System
Fully Automated Visual Inspection System
Tofflon has developed a fully automatic machine that uses light to inspect vials, medicine bottles, or infusion containers for glass fragments, aluminum particles, rubber grains, hairs, fibers, or other contaminants. It also detects damaged containers with cracks or inclusions (microscopic imperfections), automatically removing faulty or contaminated products. In order to cover all production processes for freeze-dried pharmaceuticals, Tofflon needed to create an open, consistent, and module-based automation concept.
Remotely Control, Monitor and Manage Lighting Systems
Remotely Control, Monitor and Manage Lighting Systems
Intermatic needed a solution to help their customers drastically reduce costs associated with making sure all billboard lights were on and working properly. The traditional method was costly, time consuming and inefficient as may billboards are located in isolated regions.
8x increased productivity with VKS
8x increased productivity with VKS
Before VKS, a teacher would spend a lot of time showing a group of 22 students how to build a set of stairs within a semester of 120 hours. Along with not leaving the teacher much time to provide one-on-one support for each student to properly learn carpentry, it also left a considerable amount of room for error. Key information would be misinterpreted or lost as the class was taught in the typical show-and-tell way.

The overall machine vision market is expected to grow from USD 8.12 billion in 2015 to USD 14.43 billion by 2022, at a CAGR of 8.15% between 2016 and 2022.

Source: Markets and Markets

 

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