Innovative approach for detecting ships and submarines from Seabed and / or Space.

 

  • SAVDHAN identifies and detects traces of signatures of ships or submarine using following patented and innovative technologies :-
  • Detection of targets from sea borne system :-
    • SAVDHAN Optoelectronic System : Non invasive in-situ photonic systems.
  • Detection of Targets targets from space / air borne sensors by image processing :-
    • Using satellite
    • Small scale UAVs (Drones)
    • Fixed CCTV, PTZ, Thermal camera etc.
  • Conventional acoustic surveillance systems have significant constraints imposed due to :-
    • Technological advances
    • Complexity introduced by the environment (esp. in shallow waters)
  • It is well known fact that newly built ships are designed to reduce their acoustic signatures.
  • Radar / Sonar monitoring are generally countered by new technologies.
  • Radar / Sonar have limitations in coverage areas due to constraints post by Environment and Sensors.
  • Even after besing beefing up coastal security, significant gaps remain in coverage areas.
  • Novel NON ACOUSTIC SURVEILLANCE SYSTEM.
  • SOS source-receiver pairs aligned in different directions for enabling DOA (direction of arrival) information
  • The SOS is a self recording unit with real time display and can either be moored at Sea, fixed on the bottom of the seabed or can be mounted on the hull of a Ship / Platform.
  • Detection of Targets from Long distance.
  • Discrimination of Approaching and Descending Targets.
  • Ability to distinguish Targets
    • Changing course
    • Speed
  • Ability to detect even Divers.
  • No Graphs are required.
  • Provides real time information using Remote Surveillance.
  • From 20m to 20Km, bodies above or under Sea can be tracked and monitored.
  • Sensitive information from surface or subsurface can be collected, processed and communicated.
  • User friendly Application and no learning curve.
  • Database can be set and patterns can be established.
  • Intelligent Alert mechanism can be developed.
  • Based on receipt of Intel appropriate programming can be set.
  • PROPRIETARY ALGORITHMS
    • Image Enhancement, Texture Recognition, Edge Detection, Moving Target Identification, Face Recognition, Target Identification, Image Segmentation And Classification, Target Classification, Feature Extraction, Geocoding, Change Detection, Radon Transform, Hough Transform, Filters, Masking, Morphology, Motion Analysis.
  • Introduction Sensors On Satellites, Aerial Platforms (Uav, Aircraft, Drone), Land Based Platforms (Moving And Fixed)
  • Movie / image processing from space and air-borne sensor data for coastal surveillance applications :-
SATELLITE

  • Large area can be covered
  • 150 t0 250 km
  • Smaller spatial resolution
  • Longer Revisit Cycle
  • Information extraction from image with 80% cloud cover

DRONE

  • Drones can fly within pre-defined perimeter.
  • Video / Images are collected.
  • In Situ background processing is done.
  • Required out put is generated.
  • Drones can be further be directed to a crucially identified location if any.

  • In situ / real time online video analysis surveillance as service.
  • Security rules and conditions can be set with relative to time, day or event.
  • Enhancing surveillance by intrusion alerts are tailored to trigger based on :-
  • Create zone rules.
  • Cross line detection / perimeter fencing.
  • Classifying vehicles, pedestrian etc.
  • Tailgating.
  • Unidentified or unattended objects.
  • Operational excellence quantifying business data.
  • Visitors or customers footfall.
  • Crowd density / human traffic flow.
  • Easy to implement, highly accurate and easier to operate
  • Transforming passive tool to proactive detective tool.
  • Counts, detects and distinguishes between moving vehicle, pedestrian or animal or suspicious object.
  • Real time detection and alert mechanism.
  • Simultaneous analysing feeds received from multiple and different types of cameras like fixed, ptz and thermal cameras.
  • Sensitive and accurate with low false alarm.
  • Raw image collected from varying lighting, weather conditions like fog, can be improvised by smoke / cloud reduction and image stabilizing resulting to the extent 80% clarity.