Low-Light Camera Field Evaluation for Underwater Nighttime Operations

Abstract

A low-light, underwater, charge coupled device (CCD) video camera with a unique lens was evaluated in near-zero surface lux for operational use at night as a function of depth in the ocean. The goal is real-time video for moving underwater operations, as standard cameras need stationary long exposures and a fixed scenery. CCD video cameras handle illumination variation with pixel uniformity in low light the best. The video camera observed objects at varying distances with a filtered low-light source in a tank, validating its ability to operate at low luxes automatically. The video camera and self-contained logger were attached to a frame with Secchi disks, and a Snellen eye chart was deployed in the ocean at night (lux less than 0.1). Edge detection was applied to Secchi disks in recorded images where outlines were observed to 12 m and 25 m depth in a harbor and ocean. The visual acuity is short-range and was significantly lower than night vision goggles at similar lux levels. Video results varied from the harbor with measured chlorophyll-a near 0 to10-40 microgram/L in the ocean, representing an algae bloom responsible for bioluminescence. The stirred motion of the frame induced bioluminescence that created varying effects on visibility.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2021
Accession Number
AD1151079

Entities

People

  • Michelle L. Moeller

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Advanced Electronics
  • Sensors

DTIC Thesaurus Topics

  • Cameras
  • Candles
  • Change Detection
  • Charge Coupled Devices
  • Complementary Metal-Oxide Semiconductors
  • Covid-19
  • Detection
  • Dynamic Range
  • Electronics
  • Environment
  • Image Processing
  • Images
  • Lessons Learned
  • Light Sources
  • Light Transmission
  • Optical Properties
  • Optics
  • Seabed
  • Standards
  • United States
  • Video Images

Readers

  • Circadian Sleep-Wake Regulation and Chronobiology
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Computer Vision.