Differentiating Birds and Animals using Deep Learning Neural Network with Image Processing Approach


Authors : K Pandiaraj; P Sivakumar; V Nandhini; S Parkav

Volume/Issue : Volume 5 - 2020, Issue 9 - September

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/3kRyFOy

DOI : 10.38124/IJISRT20SEP399

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Abstract : In farms we can see that the birds and animals destroying the crops. The movement of birds and animals cannot be controlled by any method. We can only drive away them. To drive away them, humans are used. To reduce the human effort we have introduced a method using image processing. In this method, the real time images are given as input and sound will be derived as output. The image given as input is compared with the trained images and classified into birds and animals. After the identification, birds can be driven away by using cracker sound and animals can be driven away by using a human sound.

In farms we can see that the birds and animals destroying the crops. The movement of birds and animals cannot be controlled by any method. We can only drive away them. To drive away them, humans are used. To reduce the human effort we have introduced a method using image processing. In this method, the real time images are given as input and sound will be derived as output. The image given as input is compared with the trained images and classified into birds and animals. After the identification, birds can be driven away by using cracker sound and animals can be driven away by using a human sound.

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