Join NIT at Embedded Vision Summit – EVS 2018

May 18, 2018 | News

Join NIT at Embedded Vision Summit – EVS 2018 on May 21-24, 2018 in Santa Clara, California

Embedded vision is now possible in all light conditions, even in outdoor scenes with high illumination, thanks to our HDR sensor NSC1602 and MAGIC mono board*.

*Our mono board will be available soon on our website. Stay connected!

Come and see our showcase to discover the High Dynamic Range combined with advanced image processing for a reliable face recognition application.

3 reasons to meet us at EVS 2018

  • Discovery a new era of optical sensing with HDR Pixel
  • Product hands-on, products kits & application notes
  • Face-to-face consulting all solutions for your needs.

What to do if you are not attending EVS 2018

If you have another plan for these days, do not hesitate to contact us to get the product datasheets or ask for a quote of evaluation kits!

Or just follow us on our website and social media to update the newest technologies, products, and activities.

Recent news

New release of NITVision version 1.3

New release of NITVision version 1.3

New release of NITVision software: Version 1.3 integrates now Python Scripting NITVision 1.3 now integrates the possibility for users to insert custom python scripts directly into NITVision’s image processing pipeline. This new feature allows any user to expand the...

April upcoming events & new software updates

April upcoming events & new software updates

5th - 7th, April SPIE DEFENSE + COMMERCIAL SENSING Orlando, Florida, United StatesA hands-on demonstration of SenS 1280 Our Sales Director, Régis Tulaza, will join the Sierra-Olympic Technologies team throughout the show.Stop by booth #1508, in Orlando, Florida,...

Best Wishes For 2022 From NIT

Best Wishes For 2022 From NIT

HAPPY HOLIDAYS! Merry Christmas and a Happy New Year. All for SWIR In 2021, despite the bumpy year, NIT is proud to have expanded the SWIR product line with plenty of state-of-the-art products to fit any application requirements: LiSaSWIR 2048 - Line-scan array SWIR...