Robots in manufacturing is not a new idea. But today an increasing number of collaborative robots are joining the ranks, working alongside their human coworkers.
Artificial intelligence is here, and it is can improve quality in a number of ways. It can prevent bad parts from being made, discover trends, and monitor machine performance.
Autonomous Mobile Robots (AMRs) are the latest innovation that have been transforming traditional robot tasks through increased flexibility and diversified applications, including their unique ability to navigate in an uncontrolled environment with a higher level of understanding.
Smart Vision Lights (SVL) announced that its director of engineering, Steve Kinney, has been elected to serve a two-year term on the board of directors of the AIA – the machine vision industry’s trade group and part of the Association for Advancing Automation (A3).
Three-dimensional (3D) imaging applications are used in many different industries ranging from both industrial pick and place, palletization/depalletization, warehouse, robotics and metrology applications to consumer-based products such as drones, safety and security, and patient monitoring applications.
Machine vision quality assurance systems have excelled at automating the location, identification, and inspection of manufactured components through computational image analysis.
In the past, cameras were once the limiting component for performance in and imaging system. Today, lenses have become the critical component in many applications.
Imaging and machine vision are becoming more integrated into our daily lives. From autonomous vehicles to advanced medical diagnostics, camera and lens systems are now commonplace.