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BIODIVERSITY CONSERVATION MONITORING SYSTEM IMAGE DETECTION USING TENSORFLOW

Wijaya R.a, Prihatmanto A.S.b, Sukoco A.c, Syahfirin M.c, Shusanti M.c

a Department of Computer Engineering, Faculty of Electrical Engineering, Telkom University, Bandung, Indonesia
b Department of Electrical Engineering, Faculty of Electrical Engineering, Institut Teknologi Bandung, Bandung, Indonesia
c Department of Computer Engineering, Faculty of Computer Science, Bandar Lampung University, Bandar Lampung, Indonesia

[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2006-2020 Asian Research Publishing Network (ARPN). All rights reserved.As we know, there are a huge variety of animals in the nature. Some of these are rare animals that are protected under governmental legislation. Technology can help people discover the condition of animals that are protected by the government. With the forest characteristic, Deep learning is a multilayer neural network, a kind of machine learning based on pattern recognition from input data; it has a property of unsupervised features learning which mean it can learn a datasets that only contain very few labelled data along with unlabeled data which is important in image recognition method. There are some of deep learning methods such as CNN, DBNs and auto-encoders. In this paper we using TensorFlow an open source library for numerical computation, specializing in machine learning developed by Google Brain. TensorFlow is library that used in deep learning methods, similar to convolutional neural networks (CNN). The methods using inception a huge image classification model with millions of parameters that can differentiate a large number of kinds images[poets], to classified and training image data layer by layer. We are using TensorFlow as architecture to image detection system for detection and recognition an endangered animal. This image detection system could help researcher’s detect and recognize one of endangered animal (Dicerorhinussumatrensis) such as sumatran rhino with population of approximately 100at the end of 2015. Our proposed model achieved 95% accuracy to recognize such images.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]deep learning,endangered animal,image detection system,neural networks,tensor flow[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]