Intelligent garbage sorting system based on MobileNetV2

Qianyue Xia; Xuemei Bai

doi:10.1117/12.2639707

19 October 2022 Intelligent garbage sorting system based on MobileNetV2

Qianyue Xia, Xuemei Bai

Proceedings Volume 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering; 1229431 (2022) https://doi.org/10.1117/12.2639707
Event: 7th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2022), 2022, Xishuangbanna, China

Abstract

In order to better solve the social hot issue of garbage classification difficulties, we designed an intelligent garbage classification system based on the lightweight convolutional neural network MobileNet V2. The system can automatically realize the intelligent classification operation of garbage, and liberate people from the tedious and mechanical garbage classification. The system uses the Pytorch deep learning framework to build the MobileNet V2 network and train the garbage classification model, so that the model can be mounted on the Raspberry Pi to achieve embedded integration. This design realizes the highly integrated, intelligent, and data visualization of the garbage classification system, with accurate classification It has the characteristics of high density, simple and convenient use, high practical value and good applicability, which can greatly simplify the process of garbage classification.

Citation Download Citation

Qianyue Xia and Xuemei Bai "Intelligent garbage sorting system based on MobileNetV2", Proc. SPIE 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, 1229431 (19 October 2022); https://doi.org/10.1117/12.2639707

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KEYWORDS

Convolution

Classification systems

Intelligence systems

Image classification

Cameras

Convolutional neural networks

Data visualization

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