A New Smart Home Intruder Detection System Based on Deep Learning

نویسندگان

چکیده

The security of home doors has become one the necessities in this era. Internet Things (IoT) technology also entered into building smart home. Therefore, it necessary to develop a facial recognition system that can be implemented on IoT devices. This study presented method recognize faces using efficientnet-b4. Transfer learning with fine-tuning was used here due small dataset size and high accuracy (accuracy Top-1= 82.9% Top-5 = 96.4%) EfficientNet-B4 fewer parameters (19.5 M) than previously known model is what we are looking for order implement Raspberry Pi. After training saving model, converted lightweight transferred distinguish faces. results showed had an 97%, despite fact collected images were taken different lighting, places, expressions.

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ژورنال

عنوان ژورنال: Ma?alla? ?ul?m al-mustan?iriyya?

سال: 2023

ISSN: ['1814-635X', '2521-3520']

DOI: https://doi.org/10.23851/mjs.v34i2.1267