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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM13307
Volume:
6 |
5 |
May 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Exploring wildlife in their natural habitat is important. This proposed activity develops an algorithm for finding animals in wildlife. With so many different animals, identifying yourself can be a daunting task. This algorithm classifies animals based on their images so that we can monitor them effectively. Detection and classification of animals can help prevent animal car accidents, track animals and prevent theft. This can be achieved by using active deep learning algorithms. Effective and reliable monitoring of wildlife in their natural environment is essential. This project develops an algorithm for finding out the animal species around us. Research based on finding animals is useful in many real-life programs.
KEYWORDS
Publication Date
5/16/2022
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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