Animal Kingdom Recognition Application using Augmented Reality Technology

Kumajas, Sondy; Komansilan, Trudi

doi:10.5220/0009011603860388

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Distribution Phase1

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2023

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“…New products can be derived by reusing and combining software assets in an effective way. Assets that appear in all products are known as commonalities, whereas assets that only existed in some products are known as variability [9]. Also, preparation and duplication of the application for distribution to the users will be done by choosing distribution options and channels which is distributed through direct mail.…”

Section: Distribution Phasementioning

confidence: 99%

Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development

Yusoff¹,

Kamarudin²,

Al-Emad³

et al. 2023

IJETAE

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— The difficulties to drive away the durian farm threatens animals such as wild boars, monkeys, foxes, and squirrels during nighttime often experienced by durian farmers. Therefore, the Pro Durian application is proposed that allows farmers to identify durian threats through a camera phone with an alert feature activation when the system detects an animal to drive away those animals. The application implements a deep learning algorithm of Convolutional Neural Network (CNN)-YOLO3in order to receive the best output results in identifying the different datasets of durian farm threats. The classification accuracies reached 80% in detecting the animal’s images. Keywords— Durian Farm, Recognition Image, TensorFlow lite, Android Studio, Convolution Neural Network

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Section: Distribution Phasementioning

confidence: 99%