Design of Intelligent Classification Trash Bin Based on Database and Image Recognition

Liu, RuiEn; Xiong, Jun; Wei, Jun; Mao, YueRui

doi:10.1109/iaecst54258.2021.9695594

Cited by 7 publications

(3 citation statements)

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“…With the rapid development of economy and society, and the improvement of people's living standards, more and more rubbish is produced. Air pollution, water quality deterioration and other problems are becoming more and more serious [1][2]. For the sustainable development of the city, the key lies in how to classify and treat the domestic rubbish.…”

Section: Introductionmentioning

confidence: 99%

Design of intelligent dustbin based on machine learning

Feng¹

2023

Third International Conference on Machine Learning and Computer Application (ICMLCA 2022)

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Section: Introductionmentioning

confidence: 99%

Design of intelligent dustbin based on machine learning

Feng¹

2023

Third International Conference on Machine Learning and Computer Application (ICMLCA 2022)

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“…Using computer vision systems to classify domestic garbage is a common solution to this problem. In recent years, with the continuous development of computer processing capabilities, especially the extensive use of GPU-assisted neural network model calculations, deep learning models have begun to be widely used in various fields [3] . Compared with traditional machine learning, it does not need to manually select and extract features, but uses convolutional neural networks for automatic feature extraction, which can achieve high-precision recognition and detection [4] .…”

Section: Introductionmentioning

confidence: 99%

Design and development of intelligent garbage sorting vehicle

Ouyang,

LI,

ZHANG

et al. 2023

6th Optics Young Scientist Summit (OYSS 2023)

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With the improvement of the level of social and economic development and the improvement of living standards, the amount of garbage output in China is increasing year by year, and the problem of garbage disposal is becoming more and more serious. In view of this situation, China began to carry out garbage classification. Garbage classification can give full play to the utilization value of resources and means of production and reduce the impact of human economic activities on nature. Therefore, aiming at the problems of difficult garbage classification and low efficiency of manual sorting, this paper designed and developed an intelligent garbage sorting vehicle. The system combines the background replacement algorithm to enhance the garbage data set, detects and classifies the garbage targets through the improved YOLOv5 network model, and finally realizes the garbage sorting work through the all-terrain intelligent vehicle equipped with mechanical arm. Through the test of garbage sorting in the real environment, the success rate of garbage identification by the intelligent garbage truck is 85%, which can meet the needs of garbage sorting in real life.

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“…Even if people have the awareness of garbage sorting, they often cause wrong disposal due to the lack of knowledge of garbage sorting. In recent years, in order to avoid the problem of wrong disposal, a variety of automatic sorting garbage bins have been produced, which are mainly divided into methods based on image recognition [7,8] and speech recognition [9,10]. e method based on image recognition relies on the camera to capture the image of garbage and compare it with the database to determine the type of garbage.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Intelligent Control Garbage Bin

Peng

Deng

2022

Journal of Electrical and Computer Engineering

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Aiming at the problem that it was difficult to popularize accurate garbage sorting and delivery, a kind of intelligent garbage bin that is more intelligent, efficient, and functional than the traditional garbage bin was designed and manufactured. The design was based on the STM32 minimum system implementation. The speech recognition module was used to receive the key words and identify which type of garbage the item belongs to. At the same time, a speech reminder was given, and the steering gear was driven to automatically open the corresponding type of garbage bin lid, and the sorting collection was realized. In addition, the ultrasonic distance measuring module was used to detect the residual capacity of the garbage bin in real time. When it was about to be full, the data would be sent to the background management system through the WIFI module to remind the staff to clean it up. The experimental results show that the intelligent garbage bin can effectively help people sort and put domestic garbage and prevent garbage overflow from affecting the living environment, so as to realize the service of science and technology for human beings.

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Design of Intelligent Classification Trash Bin Based on Database and Image Recognition

Cited by 7 publications

References 0 publications

Design of intelligent dustbin based on machine learning

Design of intelligent dustbin based on machine learning

Design and development of intelligent garbage sorting vehicle

Design and Implementation of Intelligent Control Garbage Bin

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