SIONYX debuts mobile app, firmware update for helmet-mounted digital night vision monocular

By Police Staff

BEVERLY, Mass. — SIONYX recently debuted its new mobile app and firmware update to its helmet-mounted digital night vision monocular.

OPSIN, the company’s helmet-mounted monocular, features its XQE-1350 Black Silicon sensor to deliver ultra-low-light images and video recording to assist during surveillance and firearms training.

The new app, which is compatible with Android and iOS devices, includes enhancements to the heads-up display, as well as new modes and features. Moreover, the 2.0.0 upgrades improve usability with an updated interface and features that allow users to carry out tasks under a variety of environmental conditions.

Other features and updates include:

  • Advanced image processing: OSPIN 2.0 includes advanced low-light user experience options.
  • Region Of Interest (ROI) mode update: This filter enables the handling of high dynamic scenes, including those involving lasers or IR illumination. The filter has three options: wide, narrow and off.
  • Monochrome mode: For low-light conditions, the monochrome mode gives users the option to view images in grayscale to provide images that are easier to interpret.
  • 2D noise filter: This is mainly used in outdoor environments with busy scenes. The filter reduces noise, creates better-quality images and gives the user a natural visual experience.
  • Improved location services: The update includes enhancements to the digital magnetic compass and GPS satellite data display.

Check out these updates and more at SIONYX’s booth #75111 at SHOT Show 2024 in Las Vegas.

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How Computer Vision is Changing the Landscape of Marketing and Advertising

Exploring the Impact of Computer Vision on Marketing and Advertising Strategies

Computer vision, a subfield of artificial intelligence (AI), is transforming the landscape of marketing and advertising by enabling machines to identify, analyze, and interpret visual information. This technology has opened up new possibilities for marketers and advertisers to better understand their target audience, create more engaging content, and measure the effectiveness of their campaigns. As computer vision continues to advance, it is crucial for businesses to explore its potential and adapt their strategies to stay ahead of the competition.

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