Detection of Different Animal Species in the LabVIEW

Authors

  • Sujith Sivaraj UG Student, Department of Electronics and Communication Engineering, Bannari Amman Institute of Technology, Erode, India
  • Naveen Sivasamy UG Student, Department of Electronics and Communication Engineering, Bannari Amman Institute of Technology, Erode, India
  • S. Saran Raj UG Student, Department of Electronics and Communication Engineering, Bannari Amman Institute of Technology, Erode, India
  • D. Preethi Assistant Professor, Department of Electronics and Communication Engineering, Bannari Amman Institute of Technology, Erode, India

Keywords:

Detection of animal species, IMAQ, LabVIEW

Abstract

The advancements in high speed image acquisition technologies help in the extraction and other techniques in the images taken from forests efficiently. The LabVIEW and the IMAQ vision toolbox takes the images and detect the features in far advanced methods of the new technologies than other methods. It helps in detecting the image features in less time and provides advanced results This technique depends on the ID of comparing designs among locales and wanted pictures. Each creature has exceptional and particular example which is not the same as other creature species. The highlights like horns for Imphala, tusks for elephants, body designs for tiger, cheetah and shading for other creature species are the outstanding trademark highlights taken for recognizable proof. Background subtraction is used which improves the adaptive background mixture model and makes the system learn faster and more accurately, as well as adapt effectively to changing environments. The undertaking will profit to break down the ideal pieces of a picture viably and lessen the multifaceted nature of utilizing OpenCV and MATLAB to recognize the specific example in the images. This hand planned element uses to evacuate the challenges in checking and recognizing creature species. The environmental parity in creature appropriation can be very much characterized and distinguished for animals in forests.

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Published

16-08-2020

Issue

Section

Articles

How to Cite

[1]
S. Sivaraj, N. Sivasamy, S. S. Raj, and D. Preethi, “Detection of Different Animal Species in the LabVIEW”, IJRESM, vol. 3, no. 8, pp. 263–267, Aug. 2020, Accessed: Jul. 13, 2024. [Online]. Available: https://journal.ijresm.com/index.php/ijresm/article/view/174