14. 03. 26
posted by: Administrator
Last Updated: 27 April 2014
Created: 26 March 2014
Hits: 5271

The DLL handles the raw video feed and provides Image Quality, Detection and Tracking capabilities.

ARAD SDK Library Suite

 Name ARAD ODX 200 ARAD ODX 301 ARAD 701 ARAD Stabilizer ARAD TRK 301 ARAD TRK 701 ARAD AMOD 200
 Description VMD for Stationary Sensors VMD for Scanning Sensors VMD for Airborne Sensors SELA 1 - 5, Sky  Tracking for Ground-based Sensors  Tracking for Airborne Sensors Abandoned and Missing Object Detection for Stationary Cameras
 Comments   Full Rate option available Paralax filter not included Optional as a DirectShow Renderer filter      
   
14. 03. 23
posted by: Administrator
Last Updated: 19 May 2014
Created: 23 March 2014
Hits: 4958

Examples:

  • NEVO with ProMotion Terra VMD - An Ultra-Pack for a Ground-based observation system.
    Includes: Live video feed, Panorama builder, video footprint on a map, motion detection in the video feed and on the map and panorama, real-world map coordinates extraction

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14. 03. 03
posted by: Administrator
Last Updated: 14 December 2014
Created: 03 March 2014
Hits: 6021

 click here for examples

Intended for Ground-based and Airborne video surveillance systems using static or pan-tilt cameras, SELA cancels all video shakes, leaving a full frame-rate, stabilized, smooth video.

Stabilization is maintained while panning, tilting, rolling or zooming.

See through fog, identify objects in extreme lighting conditions, stabilize violently shaking video and more.

The Video Enhancer uses a set of highly sofisticated algorithms to fix interlace, sharpen features and reduce image noise (e.g. granulation, turbulance, etc.).

 

 ProTrack's SELA Suite

   Pre-Recorded video Stabilization  Live Video Stabilization  
 Purpose    Ground-based Static Sensors  Ground-based Scanning Sensors Airborne Sensors
 Product Name SELA 1  SELA 2 SELA 3 SELA 5 SELA Air
 Stabilization Accuracy  Sub-Pixel (<0.5) 1px Sub-Pixel (<0.5)  Sub-Pixel (<0.5)   Sub-Pixel (<0.5)
 Frame Rate  Offline  60Hz, 50Hz 60Hz, 50Hz  60Hz, 50Hz   60Hz, 50Hz
 Axis and Zoom Correction  X, Y
 Rotation
 Zoom 

 X, Y
 Up to 20px

 X, Y
 Rotation
 Zoom 
 X, Y
 Rotation
 Zoom 
 X, Y
 Rotation
 Zoom 
 Image Enhancment Filters pack  Optional -  Optional  Optional  Optional
 Available in the ARAD SDK
 library
+ + + + +

 

Click here for examples

 

 

14. 03. 03
posted by: Administrator
Last Updated: 01 February 2015
Created: 03 March 2014
Hits: 6584

Click here for examples

NEVO serves as an orientation aid, by displaying a the video footprint on a wide-area Panorama and map. The video, panorama and map are precisely matched, allowing the user to extract coordinates directly from any of them.

NEVO can also be operated without a panorama, by using ProTrack's unique image-matching technology, and anchores the real-time/offline video to a digital map.

MAOF has similar capabilities, and can also build a real-time aerial mosaic, and update existing aerial orthophotos.

Both NEVO and MAOF are used as part of Command and Control (C4ISR) systems.

Whether distingushing forces on a battlefield, designating exact target coordinates in adverse weather and light conditions, or controlling a forest fire -
ProTrack's NEVO and MAOF will always provide exact information and assist in building the true and correct Real-World picture.

 

NEVO Geo-Positioning System for Ground-based Video Sensors

 Name NEVO 2 NEVO 5 NEVO 100
 Range  Up to 2 Km  Up to 5 KM Unlimited


Optional Add-Ons

  • Promotion Terra 301, 301/p, 350 - Video Motion Detection System for Ground-based Sensors
  • SELA 1-5 - Video Stabilization and Enhancement for Ground-based Sensors
  • TRK 301 - Video Tracking System for Ground-based Sensors
  • AMOD 301/P - Abandoned and Missing Objects Detection

Click here for examples

 

MAOF Geo-Positioning System for Airborne Video Sensors

Please This email address is being protected from spambots. You need JavaScript enabled to view it. for details.

Optional Add-Ons

  • Promotion Air 701, 701/Par - Video Motion Detection System for Airborne Sensors
  • SELA Air - Video Stabilization and Enhancement for Airborne Sensors
  • TRK 701 - Video Tracking System for Airborne Sensors

 Click here for examples

14. 03. 03
posted by: Administrator
Last Updated: 19 May 2014
Created: 03 March 2014
Hits: 5885

Click here for examples

A Panorama is a view of a wide region made by accurately stitching many pictures taken by a camera to one another.

ProTrack's MABAT  is used to construct high-resolution panoramas of very large areas and angles, using ground-based video sensors (camera, FLIR, etc.).

The resulting panorama can be Single or Multi-Strip, and can cover up to 360 degrees.

MABAT can be operated manually or automatically. It controls the sensor's movement according to a user-defined path.

 

A Mosaic matches pictures to an existing infrastructure: a previous picture or Orthophoto map. It is mainly suitable for Aerial applications such as updating Orhtophoto maps and alike.

ProTrack's MAROM application is capable of extremely accurate matching of pictures-to-map.

 

In both applications, a smoothing mechanism eliminates illumination differences between the stitched video frames. Poor source video quality is compensated by noise reduction filter to improve the output video, and a special Locking algorithm ensures images are stitched in the correct locations.

 

MABAT - Panoramic View Creator for Ground Sensors

 Name MABAT 1 MABAT 2 MABAT 3
 Purpose Single Strip Panoramas  Multi Strip Panoramas  Automatic Panorama Creation 
 Description
  • Panoramic view Creator for Ground Sensors
  • Creates a large panoramic view up to 360 degrees
  • On-The-Fly Image Stitching
  • Post-Process Radiometric Smoothing and Alignment
 Multi-Strip - + +
 Real-Time Video - + +
 Offline Video + + -
 Automatic Build - - +

 

Click here for examples

 


MABAT is part of ProTrack's ProMotion Terra ODX301/P, ODX350 and of the NEVO Geo-Positioning application

 

MAROM - Mosaic Creator for Airborne Sensors

 Name MAROM Lite MAROM 
 Accuracy  Depends on the Telemetry's accuracy   Uses an Orhtophoto with DEM for very high accuracy 

 

 Click here for examples

 

 

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