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Imaging lenses enable machine vision systems to inspect, sort, and measure objects for a variety of applications including manufacturing, robotics, autonomous (self-driving) vehicles, and more.
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.
In the past, the amount of processing power necessary to perform color-based machine vision applications was often an insurmountable hurdle. Even when manufacturers did offer color vision, they would typically convert images to grayscale prior to analysis—a strategy that significantly reduces precision and fails to detect edges defined by similar colors.
Bruker announced the release of the Luxendo MuVi SPIM CS light-sheet fluorescence microscope for imaging optically cleared samples. The MuVi SPIM technology allows fast, long-term imaging of large samples with highest resolution and optical sectioning, as well as minimized photodamage.
First introduced in the 1980s, smart cameras or “smart sensors” combine lenses, embedded sensor, processors, interfaces and software together into small, all-in-one vision systems.
According to Hollywood script writers, robots are either secretly intent on overthrowing humanity or they’re beeping, blinking, and buzzing sidekicks that provide comedic relief.
Last time we discussed resolution, working distance, depth of field and field of view, and this time we will be diving into distortion, relative illumination and telecentricity.