The emergence of autonomous mobile robots (AMR), which can independently transport materials around a facility using built-in Lidar scanners and 3D cameras, can make automating tasks faster, less expensive and easier to deploy overall.

The highest volumes of machine vision cameras being sold are those that are small in size and small or small-ish in price. This demand has resulted in a wide array of compact, affordable cameras being created by many different manufacturers.

Machine vision for quality assurance (QA) has allowed manufacturers to overcome the limitation of human inspection in terms of cost and reliability. However, machine vision projects can be extremely complex and not suited to the technical and financial resources of most businesses.

Cameras are the eyes of visual quality inspection systems. Cameras and machine vision technologies help to improve quality by automating processes, making them more precise and repeatable, while also boosting their speed and throughput.

According to the latest statistics from the Association for Advancing Automation (A3), the first six months of 2021 saw an 18 percent increase to $1.5 billion over the same period in 2020, which is the best start to a year on record. And those numbers aren’t expected to decline. Why the increase?

In certain industrial areas, working under extreme conditions is essential.

Silicon wafers accumulate residual stress during the growth, sawing, grinding, etching and polishing process.

In order to avoid failure of single components, scanCONTROL laser scanners are used to create a 3D profile of each PCB.

With increasing demand of electronics in society, semiconductor fabrication plants and integrated circuit manufacturers are manufacturing higher quantities of wafers and IC to fulfill the demand.

The durability of RFID technology makes it ideally suited to this task. It also offers versatile connection options and can be flexibly integrated into the production system.”