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What does it do?

  • Night Vision
  • Low-Light Imaging
  • CMOS Sensors
  • Edge AI Processing
  • Real-Time Image Processing

How is it used?

  • Integrate CMOS sensor
  • get real-time enhanced night vision.
  • 1. Capture image w/ CMOS sensor
  • 2. Process signal w/ AI
  • 3. Display real-time output
See more

Who is it good for?

  • Night Vision Enthusiasts
  • Outdoor Adventurers
  • Security Professionals
  • Wildlife Researchers
  • Military Personnel
See more

Details & Features

  • Made By

    DeepNight
  • Released On

    2023-10-24

DeepNight develops advanced night vision technology using artificial intelligence, digital CMOS sensors, and edge AI processing. The company's solutions provide real-time, on-edge night vision capabilities that surpass traditional technologies at a lower cost.

Key features:
- Digital CMOS Sensors: Capture images in near-total darkness, including moonless starlight conditions.
- Edge AI Processing: Interpret limited signals from CMOS sensors using AI, enabling clear vision in low-light environments.
- Real-Time Processing: Process images instantly for immediate visual feedback.
- Low Power Consumption: Operate efficiently on low-power devices, including mobile phones.
- Cost-Effective: Offer a more affordable alternative to traditional night vision hardware.
- Streaming: Enable live streaming of night vision footage due to the digital nature of the solution.
- Object Recognition: Integrate AI for enhanced functionality in object identification.

How it works:
1. CMOS sensors capture low-light images.
2. AI algorithms process the captured signals to enhance visibility.
3. Processed images are displayed in real-time, providing clear vision in near-total darkness.

Integrations:
Camera Systems, Mobile Devices, Military and Security Applications

Use of AI:
DeepNight utilizes AI for signal processing to interpret and enhance limited signals captured by CMOS sensors in low-light conditions. The technology focuses on computational imaging and edge AI processing.

AI foundation model:
The specific AI foundation models used are not detailed, but the system employs generative AI for signal processing capabilities.

Target users:
- Military and Defense
- Security and Surveillance
- Consumer Electronics
- Research and Development

How to access:
DeepNight's technology is available as hardware integration into devices with CMOS sensors and AI processing units. Software solutions may also be available for implementation in existing hardware systems.

Partnerships:
DeepNight is supported by the US Army's Night Vision and Electronic Sensors Directorate, indicating potential applications in defense and security sectors.

  • Supported ecosystems
    Unknown
  • What does it do?
    Night Vision, Low-Light Imaging, CMOS Sensors, Edge AI Processing, Real-Time Image Processing
  • Who is it good for?
    Night Vision Enthusiasts, Outdoor Adventurers, Security Professionals, Wildlife Researchers, Military Personnel, Law Enforcement Officers, Outdoor Enthusiasts

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