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  • https://doi.org/10.21817/indjcse/2023/v14i5/231405025Copy DOI Icon

AIRCRAFT RECOGNITION SYSTEM USING DEEP LEARNING BASED EFFICIENTNET

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Abstract

Maintaining airspace safety and minimizing potential hazards have become urgent concerns as a result of the exponential expansion in aviation traffic. Proposed Aircraft Recognition System (ARS) is created to improve aviation safety by properly identifying and classifying aircrafts for the given input. The ARS uses sophisticated computer vision and deep learning techniques to quickly and automatically identify different kinds of military aircrafts. ARS performs recognition task using EfficientNet B3. Comparison with other existing models is done to evaluate the accuracy of proposed system. The accuracy of this model was observed to be 95.76% in comparison with VGG16, InceptionV3 and ResNet50 whose accuracy was observed to be 79.1%, 88.57%, and 56.2% respectively.

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