Applications & On board Sensors

 

Applications

Sensis Aerospace is a leader in the design, manufacture and operation of small Unmanned Aerial Systems (UAS). Since the introduction of our qadcopter Avenger, considered by many to be the first true small UAS for first responders and law enforcement, Sensis Aerospace’s Unmanned Aerial Systems have supported its clients with a variety of commercial data, helped protect endangered wildlife and preserve the environment.

Sensis Aerospace’s Unmanned Aerial Systems continue to set the standard for delivering increasingly valuable capabilities in the most challenging conditions. These systems are used extensively by clients in different latitudes to help establish commercial superiority at their industries. In fact, Sensis Aerospace is currently participating at the event Drones for Good, organized by the United Arab Emirates.

Unmanned Aerial Systems have more than proven their value in the military world and today, Unmanned Aerial Systems are utilized for applications closer to home, Whether monitoring precisely agricultural fields, protecting environment, monitoring pipeline utility assets or finding those who are lost and in distress, Unmanned Aerial Systems can be launched quickly, day or night, to provide precise situational awareness whenever and wherever they are needed.

Equipped with the latest in autonomous navigation and sensing on board, these systems offer a variety of applications.

Hyperspectral

 

Hyperspectral imaging, like other spectral imaging, collects and processes information from across the electromagnetic spectrum.

Hyperspectral sensors are used widely in:

  • Plant health measurement
  • Water quality assessment
  • Vegetation index calculation
  • Full spectral sensing
  • Spectral index research and development
  • Mineral and surface composition surveys

LiDar

Lidar (also written LIDAR or LiDAR) is a remote sensing technology that measures distance by illuminating a target with a laser and analyzing the reflected light. Although thought by some to be an acronym of Light Detection And Ranging, the term lidar was actually created as a portmanteau of "light" and "radar."

Lidar is popularly used as a technology to make high-resolution maps, with applications in geomatics, archaeology, geography, geology, geomorphology, seismology, forestry, remote sensing, atmospheric physics,[4] airborne laser swath mapping (ALSM), laser altimetry, and contour mapping.

  • Short range, 270° scanning LASER rangefinder
  • Useful in 3D digital surface modeling, stockpile calculation, surface variation detection and flood mapping
  • Penetrates through vegetation: It can perform plant height measurements by collecting range information from the plant canopy and the ground below (as opposed to the passive optical imagers that provide height data from the canopy).

Multispectral

A multispectral image is one that captures image data at specific frequencies across the electromagnetic spectrum. The wavelengths may be separated by filters or by the use of instruments that are sensitive to particular wavelengths, including light from frequencies beyond the visible light range, such as infrared. Spectral imaging can allow extraction of additional information the human eye fails to capture with its receptors for red, green and blue. It was originally developed for space-based imaging.

Multispectral sensors are used widely in:

  • Plant health measurement
  • Water quality assessment
  • Vegetation index calculation
  • Plant counting

Thermal

Thermal infrared radiation refers to electromagnetic waves with a wavelength of between 3.5 and 20 micrometers. The main difference between thermal infrared and the infrared (color infrared - CIR) is that thermal infrared is emitted energy that is sensed digitally, whereas the near infrared "photographic infrared" is reflected energy that causes a chemical reaction in film emulsion.

Microbolometer thermal sensors are best utilized in:

  • Heat signature detection
  • Livestock detection
  • Surveillance and security
  • Water temperature detection and water source identification
  • Emergency response

Visual

A visual sensor network is a network of spatially distributed smart camera devices capable of processing and fusing images of a scene from a variety of viewpoints into some form more useful than the individual images. A visual sensor network may be a type of wireless sensor network, and much of the theory and application of the latter applies to the former. The network generally consists of the cameras themselves, which have some local image processing, communication and storage capabilities, and possibly one or more central computers, where image data from multiple cameras is further processed and fused (this processing may, however, simply take place in a distributed fashion across the cameras and their local controllers). Visual sensor networks also provide some high-level services to the user so that the large amount of data can be distilled into information of interest using specific queries.

  • High resolution, low distortion camera (RGB)
  • Produces images or video
  • Longer focal length lens on for high resolution images
  • Skiis to protect larger lens
  • Higher data rate storage card

Ideal for:

  • Aerial mapping and imaging
  • Photogrammetry and 3D reconstruction
  • Plant counting
  • Surveillance
  • Emergency response
  • Surveying and land use applications

Sensors
 

Visual 

 

   

BlackMagic camera    

Multiespectral 

 

  

RedEdge

Thermal

 

     

Flir Vue Pro 7.5 Hz (NTSC) ; 8.3 hZ (PAL)

Flir Vue Pro