EVT was founded in 2007 in Vancouver, Canada. We bring together over 40+ years of imaging experience ranging from life science, security, and machine vision/industrial markets. We are the first providers of cameras based on the 10 Gigabit Ethernet (10GigE) interface. 10GigE exceeds the bandwidth of even the advanced interfaces including USB 3.0, CoaXPress, and CameraLink. At the same time, the costs are low and the technology is fully developed since any modern IT network utilizes the 10GigE standard for broadband data transmission. The GenICam™ and GigEVision® standards make the integration with all major software libraries as easy as can be.
Since its foundation in 2007, Emergent Vision Technologies Inc. paves the way to new imaging innovations with high resolution, high-speed cameras.
Our current cameras range from 2 to 20 megapixels and 338 to 32 frames per second (fps) at full resolution (over 1000 fps at lower resolutions). We provide best-in-class and versatile solutions for a large variety of applications from display or solar panel inspection over pick-and-place machines, vision-guided robots, and railway inspection to highway monitoring, sport broadcast applications, and golf swing analysis.
The Thermo Scientific™ ARL™ EQUINOX 3000 X-ray Diffractometer for research enables accurate measurements.
KLA’s Filmetrics F40 allows you to transform your benchtop microscope into an instrument to measure thickness and refractive index.
This product profile describes the properties and applications of the ProMetric® I-SC Solution Imaging Colorimeter.
Dr. David Dung
We spoke with University of Bonn spin-off Midel Photonics, a start-up company whose laser beam shaping technology is hoping to sharpen up the laser industry.
Matthias Sachsenhauser, Ph.D.
Following Laser World of Photonics 2022, we spoke with Matthias Sachsenhauser from Hamamatsu Photonics about the role of laser-driven light sources in the future of the photonics sector.
Dr. Keith Paulsen
AZoOptics speaks to Dr. Keith Paulsen about the importance of breast cancer detection and the introduction of his team's deep-learning algorithm that associates spatial images of tissue optical properties with optical signal patterns measured during an imaging experiment or patient exam.