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| June, 2012 |
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Cherry Picking Inspection
The Ellips' TrueSort Cherry grading system uses a combination of high resolution cameras, its own operating system, and proprietary algorithms to analyze an impressive 300 cherries per second. The system uses a trio of Grasshopper 1.3 MP cameras: one infrared, one color, and one monochrome with a filter to improve the contrast of defects. The system achieves a remarkable 80-90 per cent accuracy rate.
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New Flea3 Is World's Smallest 8.8 MP, 4K2K, USB 3.0 Camera
The FL3-U3-88S2C features Sony's new IMX121 sensor with "Exmor R" back-illuminated CMOS architecture. By increasing quantum efficiency and reducing noise, "Exmor R" improves sensitivity and dynamic range for sharp, high-quality color images. The impressive 4096 x 2160 resolution, USB 3.0 interface, and the camera's small size makes this new Flea3 suitable for a variety of high resolution color application.
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Thank You For 15 Years Of Support And Inspiration
What started out as a handful of university students has grown into a thriving global enterprise. Point Grey is now 150 people in 5 international offices pushing the boundaries of imaging technology. We are all very proud of this milestone and are grateful to our employees, customers, distributors, and partners for their support and commitment over the years. Thanks Everyone!
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New Astrophotography Webpage
Some things happen only once in a lifetime: Point Grey launching its first Astrophotography webpage and a Venus transit across the sun. Our new Astrophotography page is designed to make it easy to find Point Grey's most popular cameras for this very special kind of photography. You'll also find links to Alan Friedman's photos and video of the Venus transit taken with the 6 MP Grasshopper Express.
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Operating System Updates
Earlier this month, Apple released its latest versions of MacBook Pro and Air – both lines now support USB 3.0. Also this month, the Linux kernel has been updated to support dynamic ring expansion resulting in larger image transfers. Point Grey continues to work closely with the Linux open source community on a suitable implementation for machine vision.
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