Robots are being added in locations that add value so companies can use human employees in higher value areas and tasks still beyond the scope of machines.
Several critical components need to come together to form a machine vision system. This includes the sensor (typically within a camera) that captures a picture for inspection, the processing hardware (a PC or vision appliance) and software algorithms to render and communicate the results. In addition, lighting, staging, and lenses are required to set up a machine vision system.
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.
Russ Hudyma, Chief Technology Officer with Navitar, discusses the benefits of precision lens-to-sensor active alignment within the field of machine vision for high-end inspection.
The load cell sensor is arguably the most important component in a force measurement or material testing system’s ability to provide accurate, precise and valid measurements. A sensor’s accuracy is often the primary characteristic that is used to specify a load cell sensor for a given application.
FasTest, Inc. has integrated the latest generation of its Connection VerificationTM technology into their ME Series quick connectors used for leak testing of medical devices.
The convergence of the widespread availability of low-cost sensors, cloud and greater computing power has brought together a multitude of connected devices which can deliver information on manufacturing operations like never before.
The data handling of many sensors that scan a single target, called multi-sensor networking, is an important capability to support large object applications.