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Title: :  AUTOMATED ANIMAL IDENTICATION AND DETECTION OF SPECIES (AAIDES)
PaperId: :  21739
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 5 2023
DUI:    16.0415/IJARIIE-21739
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
SWAMINATHAN BBANNARI AMMAN INSTITUTE OF TECHNOLOGY
VINISHA KBANNARI AMMAN INSTITUTE OF TECHNOLOGY

Abstract

Computer Engineering
CNN, Transfer Learning, Machine Learning, VGG-16
Efficiently and accurately identifying and detecting various animal species is a fundamental aim of the project "Automated Animal Identification and Detection of Species. (AAIDES)" This initiative leverages the capabilities of deep learning techniques, particularly Convolutional Neural Networks (CNNs), to create a system that can automatically recognize different animal species based on their photographic images. The project's methodology involves curating a substantial collection of animal photos to serve as training data for the system. Furthermore, it harnesses the potential of pre-trained neural networks, specifically the improvised VGG-16 architecture, by fine- tuning it to significantly enhance the accuracy of species classification. The significance of this project lies in its promise to provide a more precise and effective means of identifying and detecting animal species. Such advancements have far-reaching implications, not only revolutionizing the study of animals but also bolstering conservation efforts aimed at preserving these vital components of our ecosystems. During this, two key components are employed the CNN model and the VGG architecture. The improvised VGG-16 model, in particular, stands out for its exceptional accuracy in identifying and classifying various animal types. This attribute makes it invaluable for a multitude of applications, ranging from crop protection and animal tracking to the critical domain of wildlife conservation. The project is also concerned about the conservation of animals, and it plays a critical role in maintaining the delicate balance of our planet's ecosystems and extinction of species. It also ensuring a sustainable future for both wildlife and humanity. In conclusion, the outcomes of this project have the potential to reshape how we perceive and interact with the animal kingdom. By combining cutting-edge transfer learning techniques, a rich dataset, and the power of the VGG architecture, we have paved the way for more efficient and accurate species identification and recognition of specific species, furthering our understanding of the natural world and our commitment to its preservation. Keywords Automated Animal Identification, Detection of Species, Deep learning techniques (transfer learning), Convolutional Neural Networks (CNNs), VGG-16.

Citations

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IJARIIE SWAMINATHAN B, and VINISHA K. "AUTOMATED ANIMAL IDENTICATION AND DETECTION OF SPECIES (AAIDES)" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 5 2023 Page 1289-1296
MLA SWAMINATHAN B, and VINISHA K. "AUTOMATED ANIMAL IDENTICATION AND DETECTION OF SPECIES (AAIDES)." International Journal Of Advance Research And Innovative Ideas In Education 9.5(2023) : 1289-1296.
APA SWAMINATHAN B, & VINISHA K. (2023). AUTOMATED ANIMAL IDENTICATION AND DETECTION OF SPECIES (AAIDES). International Journal Of Advance Research And Innovative Ideas In Education, 9(5), 1289-1296.
Chicago SWAMINATHAN B, and VINISHA K. "AUTOMATED ANIMAL IDENTICATION AND DETECTION OF SPECIES (AAIDES)." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 5 (2023) : 1289-1296.
Oxford SWAMINATHAN B, and VINISHA K. 'AUTOMATED ANIMAL IDENTICATION AND DETECTION OF SPECIES (AAIDES)', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, 2023, p. 1289-1296. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/AUTOMATED_ANIMAL_IDENTICATION_AND_DETECTION_OF_SPECIES__AAIDES__ijariie21739.pdf (Accessed : ).
Harvard SWAMINATHAN B, and VINISHA K. (2023) 'AUTOMATED ANIMAL IDENTICATION AND DETECTION OF SPECIES (AAIDES)', International Journal Of Advance Research And Innovative Ideas In Education, 9(5), pp. 1289-1296IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/AUTOMATED_ANIMAL_IDENTICATION_AND_DETECTION_OF_SPECIES__AAIDES__ijariie21739.pdf (Accessed : )
IEEE SWAMINATHAN B, and VINISHA K, "AUTOMATED ANIMAL IDENTICATION AND DETECTION OF SPECIES (AAIDES)," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, pp. 1289-1296, Sep-Oct 2023. [Online]. Available: http://ijariie.com/AdminUploadPdf/AUTOMATED_ANIMAL_IDENTICATION_AND_DETECTION_OF_SPECIES__AAIDES__ijariie21739.pdf [Accessed : ].
Turabian SWAMINATHAN B, and VINISHA K. "AUTOMATED ANIMAL IDENTICATION AND DETECTION OF SPECIES (AAIDES)." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 5 ().
Vancouver SWAMINATHAN B, and VINISHA K. AUTOMATED ANIMAL IDENTICATION AND DETECTION OF SPECIES (AAIDES). International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(5) : 1289-1296. Available from: http://ijariie.com/AdminUploadPdf/AUTOMATED_ANIMAL_IDENTICATION_AND_DETECTION_OF_SPECIES__AAIDES__ijariie21739.pdf
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