Cinema lenses designed to create content tailored for online streaming utilize aspheres to shoot with a shallow depth of field while maintaining quality.
Large field of view telecentric imaging lenses allow for reduction of measurement and inspection time. Learn more about large FOV lenses at Edmund Optics.
A new generation of small, cost-effective, CW ultraviolet (UV) lasers allows more applications to move to UV wavelengths for increased power and precision.
Semiconductor supermirrors offer high reflectivity and outperform many IR mirrors on the market. Learn more about these new supermirrors at Edmund Optics.
Mounting flat mirrors by their edges in a kinematic mount imparts stress onto the mirror surface. This results in distortion and reduced quality of the reflected wavefront, which is especially noticeable when using high-quality mirrors. Stemmed mirrors, on the other hand, are mounted from a smaller diameter “stem” protruding from the back of the mirror, resulting in significantly reduced stress on the mirror surface, high stability, and cost reduction and can be used as a replacement for a more expensive and complex kinematic mount and a conventional mirror.
New optical filters are being developed due to the advancements in applications and technologies. Learn more about the future of filters at Edmund Optics.
The growth of automation has introduced machine vision lenses to more harsh environments involving shock, vibration, contaminants, and temperature swings.
Single-Material Aspheric Achromats correct chromatic aberrations with a unique geometry, leading to numerous benefits over conventional achromatic lenses.
Computer Generated Hologram metrology provides a new solution for overcoming traditional asphere metrology. Learn more about CGH metrology at Edmund Optics.
Innovative ultra-thin filters provide flexibility, scratch resistance, and durability comparable to most hard oxide coatings. Learn more at Edmund Optics.
Four major trending topics in machine vision technology include edge artificial intelligence (edge AI), AI paired with high-resolution sensors, event-based machine vision, and affordability of SWIR sensor technology.
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