The method and equipment design of household micro garbage disposal

Yixin Zhao

doi:10.1117/12.2655206

7 October 2022 The method and equipment design of household micro garbage disposal

Yixin Zhao

Proceedings Volume 12344, International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022); 1234406 (2022) https://doi.org/10.1117/12.2655206
Event: International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022), 2022, Zhuhai, China

Abstract

The variety of daily household garbage is complex, which is not easy to recycle. On this basis, the methods of household micro garbage classification, recycling treatment and heat energy utilization of unrecyclable garbage are put forward. A kind of household micro garbage processor is designed, which mainly includes garbage sorting module, recyclable processing module and unrecyclable garbage processing module. And experiments on garbage classification recognition were conducted to obtain model training data for the limitations of existing garbage image datasets, using crawling techniques to collect image data from the web, expanding the garbage categories in the dataset and each category of garbage image dataset. To better extract the features of different categories of garbage images, migration learning techniques are used to train the garbage classification model. Since the multi-category problem is addressed in the article, the model evaluation is performed using confusion matrix. The classification efficiency and identification accuracy of micro garbage disposal meet the daily household requirements. The device not only reduces the burden of waste disposal and the environment, but also can make further use of the energy of unrecyclable waste.

Citation Download Citation

Yixin Zhao "The method and equipment design of household micro garbage disposal", Proc. SPIE 12344, International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022), 1234406 (7 October 2022); https://doi.org/10.1117/12.2655206

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KEYWORDS

Data modeling

Image classification

Performance modeling

Pollution

Data acquisition

Instrument modeling

Statistical modeling

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