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Deepnight

Deepnight provides AI-powered digital night vision technology that transforms standard electro-optical cameras into high-performance imaging systems for dark environments. Its deep neural network aggregates photons temporally to recover true scene information, achieving performance exceeding Gen 3 image intensifiers at lower cost than thermal cameras. The technology has been deployed for counter-UAS protection across U.S. Air Force installations.

Traction 10/10
San Francisco, United States · HQ
Founded 2024191K+ followers
  • Defense Tech
  • Artificial Intelligence
  • Hardware
Updated 9 days ago

Funding

Raised to date

$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Traditional night vision relies on expensive thermal cameras or analog Gen 3 image intensifiers with inherent limitations in resolution, cost, and performance. Standard electro-optical cameras fail to produce meaningful imagery in dark environments with only ambient starlight, creating a capability gap for security and defense applications.

Solution

Deepnight provides state-of-the-art digital night vision technology that transforms commoditized EO cameras into effective imaging systems for dark environments. The company's deep neural network aggregates photons temporally to recover true information from scenes, enabling meaningful imagery on the darkest nights illuminated only by starlight. This approach achieves higher performance at lower costs than thermal cameras, including in challenging moonless starlight conditions. Combined with digital image sensors, Deepnight's solution exceeds the performance of Gen 3 image intensifiers, establishing a new benchmark for digital night vision.

Target Audience

Primary customers are U.S. military and defense organizations, including the U.S. Air Force, as well as security providers requiring counter-UAS protection and critical infrastructure surveillance in dark environments.

Features

  • Deep neural network that temporally aggregates photons to recover true scene information from low-light imagery
  • Compatibility with commoditized EO cameras, enabling lower hardware costs compared to thermal systems
  • Performance exceeding Gen 3 image intensifiers when combined with digital image sensors
  • Effective imaging in moonless starlight conditions with minimal light pollution
  • Deployed counter-UAS capability integrated across U.S. Air Force installations
  • AI-enabled digital night vision used for protecting critical military sites
This profile is AI-generated and may contain inaccuracies.