OVERVIEW OF RESEARCHES ON MUNICIPAL SOLID WASTE IMAGE RECOGNITION

JIN Peiwei; YAO Yan; LIANG Xiaoyu; CAI Jinhui

doi:10.13205/j.hjgc.202201029

Volume 40 Issue 1

Mar. 2022

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Article Navigation > ENVIRONMENTAL ENGINEERING > 2022 > 40(1): 196-206

JIN Peiwei, YAO Yan, LIANG Xiaoyu, CAI Jinhui. OVERVIEW OF RESEARCHES ON MUNICIPAL SOLID WASTE IMAGE RECOGNITION[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(1): 196-206. doi: 10.13205/j.hjgc.202201029

Citation:

JIN Peiwei, YAO Yan, LIANG Xiaoyu, CAI Jinhui. OVERVIEW OF RESEARCHES ON MUNICIPAL SOLID WASTE IMAGE RECOGNITION[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(1): 196-206. doi: 10.13205/j.hjgc.202201029

JIN Peiwei, YAO Yan, LIANG Xiaoyu, CAI Jinhui. OVERVIEW OF RESEARCHES ON MUNICIPAL SOLID WASTE IMAGE RECOGNITION[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(1): 196-206. doi: 10.13205/j.hjgc.202201029

Citation:

JIN Peiwei, YAO Yan, LIANG Xiaoyu, CAI Jinhui. OVERVIEW OF RESEARCHES ON MUNICIPAL SOLID WASTE IMAGE RECOGNITION[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(1): 196-206. doi: 10.13205/j.hjgc.202201029

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OVERVIEW OF RESEARCHES ON MUNICIPAL SOLID WASTE IMAGE RECOGNITION

doi: 10.13205/j.hjgc.202201029

College of Metrology & Measurement Engineering, China Jiliang University, Hangzhou 310018, China

Received Date: 2021-01-21
Available Online: 2022-03-30
Publish Date: 2022-03-30

Abstract

Abstract

Realizing the automatic classification of domestic waste is an effective way to solve the increasing problems on municipal solid waste(MSW). The thesis focused on the researches on waste image recognition based on computer vision in the past ten years. According to the differences of automatic waste classification methods, the current existing related research was divided into traditional machine learning methods and deep learning methods. It illustrated the machine learning method and the feature extraction method of the deep learning method, compared and analyzed the advantages and disadvantages of the traditional machine learning method and the waste type recognition based on the deep learning method, focused on the application research of the general neural network of the deep learning method. In addition, the data sets used in the current research on waste image recognition were introduced, and the problem of current waste image recognition were analyzed and prospected finally.
- image identification,
- deep learning,
- feature extraction,
- convolutional neural network,
- MSW

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References(52)

References

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