TigerCENSE: Wireless Image Sensor Network to Monitor Tiger Movement

  • Ravi Bagree
  • Vishwas Raj Jain
  • Aman Kumar
  • Prabhat Ranjan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6511)

Abstract

Wireless Sensor Network (WSN) in combination with image sensors opens plethora of opportunities in the wildlife tracking. It provides a glimpse into previously unseen, remote and inaccessible world of some of the most endangered species on earth. tigerCENSE is such an attempt to put sensor network technology in conserving one of the rarest and most elusive big cat species. The node, triggered by the Passive Infrared (PIR) sensor, captures the image of tiger using a CMOS image sensor and stores it in an external memory chip. To avoid any disturbance to animal, the node uses an Infrared (IR) flash, instead of white flash, to illuminate the target at night. The stored images get transferred to the base station via radio transceiver. This is transferred to the database server through Internet links for analysis by wildlife researchers. A solar energy harvesting system for recharging node’s batteries is being added to avoid frequent human visit to change the batteries, making it highly non-intrusive system.

Keywords

Camera Trap Wireless Sensor Network Image Sensor Network wildlife tracking Intrusion detection CMOS camera IR flash image sensor 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Yasuda, M., Kawakami, K.: New method of monitoring remote wildlife via the Internet. Ecological Research 17, 119–124 (2002)CrossRefGoogle Scholar
  2. 2.
  3. 3.
  4. 4.
  5. 5.
    Staving Off Extinction: A Decade of Investments to Save the World’s Last Wild Tigers (1995-2004), http://www.nfwf.org/Content/ContentFolders/NationalFishandWildlifeFoundation/ConservationLibrary/ProgramEvaluations/Staving_off_Extinction.pdf
  6. 6.
    McDougal, C.: The Face of the Tiger. Rivington Books, London (1977)Google Scholar
  7. 7.
  8. 8.
  9. 9.
    Texas Instrument TPS2092 Datasheet, http://www.ti.com/lit/gpn/tps2092
  10. 10.
  11. 11.
  12. 12.
  13. 13.
  14. 14.
  15. 15.
  16. 16.
    Polymer Lithium Ion Batteries 6Ah Datasheet, http://www.sparkfun.com/datasheets/Batteries/UnionBattery-2000mAh.pdf
  17. 17.
    Texas Instruments TPS63001 Datasheet, http://www.ti.com/lit/gpn/tps63001
  18. 18.
    Suntan Super-capacitor TS12S-R Datasheet, http://www.sparkfun.com/datasheets/Components/TS12S-R.pdf
  19. 19.
    ST microelectronics Power MOSFET STB100NF03L Datasheet, http://www.st.com/stonline/products/literature/ds/9307.pdf
  20. 20.
    Vishay Semiconductor IR LEDs TSHG5210 Datasheet, http://www.vishay.com/docs/81810/tshg5210.pdf
  21. 21.
    Jain, V.R., Bagree, R., Kumar, A., Ranjan, P.: wildCENSE: GPS base Animal Tracking System. In: International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Sydney, December 15-16 (2008)Google Scholar
  22. 22.
    Innovative Techniques for Extremely Low Power Consumption with 8-bit Microcontrollers, http://www.atmel.com/dyn/resources/prod_documents/doc7903.pdf

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Ravi Bagree
    • 1
  • Vishwas Raj Jain
    • 1
  • Aman Kumar
    • 1
  • Prabhat Ranjan
    • 1
  1. 1.Dhirubhai Ambani Institute of Information and Communication TechnologyIndia

Personalised recommendations