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Embeddable Image Processing Technology for Visibility Through Visual Barriers

Technology Overview

The ability to see through visual barriers is critical and therefore in high demand for humans as well as our automated machines. Visual barriers include haze, smoke, cloudy water, rain, dust, fog, snow, light cloud cover and even the surface of almost any object such as concrete and rock.

Images captured by cameras in satellites, UAVs, drones, pipes, airplanes, underwater ROVs, autonomous robots and automobiles,  mobile phones, tablets, planet and asteroid exploration robots and more, can be used. So, real-time imagery and historical images decades old can also be used to see through visual barriers in the images.

Photos and videos can be processed.

Applications include drone/UAV surveys and exploration from real-estate, crop management, search & rescue, Oil & Gas (O&G) exploration, delivery services, surveillance, defense and security to space exploration. Additionally, in the Outer Space industry such as planetary and cosmic exploration and asteroid mining.

Potential users include UAV/drone operators, satellite imaging operators, government defence/security/surveillance/policing agencies, underwater operations companies, O&G operations companies, construction quality assurance companies, space exploration agencies and other space-related companies.

Millions of images have already been captured and millions more will be captured in the future. We see a strong and sustainable demand for this technology.

Technology Features & Specifications

  • Embeddable software algorithm
  • Option to set up as cloud-based server

The innovation can be embedded in our partner’s devices and equipment such as consumer or professional digital cameras as well as head and body cameras. Additionally, it can be embedded in cameras installed in drones/UAVs, airplanes, satellites, head or body cameras, underwater ROVs, autonomous robots and other machines such as autonomous vehicles, submarines and planetary rovers.

As a cloud-based server, it can be offered for online access by a wide audience including government agencies, general public, drone/UAV operators, Earth Observation organizations such as for agriculture and weather monitoring and more.

Potential Applications

  • Consumer and professional digital cameras such as for crime forensic investigation
  • Drone/UAV cameras for flight operators such as for delivery and surveillance services
  • Satellite cameras for operators such as for imagery for crop management
  • Surveillance cameras for policing and security government agencies
  • Military equipment cameras for government agencies
  • Sub-sea equipment and vehicle cameras for submarine and ROV operators’ explorations
  • Space exploration equipment cameras for space agencies for remote explorations
  • Autonomous robots and vehicle cameras for manufacturers to improve visibility

Market Trends and Opportunities

  • The drone/UAV market is forecast to reach US$30b by 2023, imaging is a large portion
  • A major expected attraction of this innovation is that it can be readily added to existing devices, products and services
  • Another major expected attraction of this innovation is that it can be readily applied to a wide range of applications
  • Thirdly, it delivers a globally unmet demand and can create new market demand where a solution was not thought possible

Customer Benefits

  • Creates new and strong product differentiation features for camera manufacturers
  • Creates new revenue sources for drone/UAV operators and in low-visibility conditions
  • Enables older and obscured visibility images to be used for revenue by satellite operators
  • Visibility made possible for security agencies even in poor visibility conditions
  • Visibility in challenging conditions such as ‘brownouts’ for military personnel
  • Visibility through cloudy or murky water for undersea exploration organizations
  • Remote subsurface visibility to improve mission efficiency for space agents and operators
  • Improved vision for drivers in various bad weather and low lighting conditions (in HUD systems for vehicles)
  • Improved visibility and decision making for autonomous equipment and manufacturers

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