Climate warming is one of the important environmental issues with global concern. The Bloomberg News has recorded temperature changes in the recent 135 years. As the hottest year, in 2014 the global surface temperatur...Climate warming is one of the important environmental issues with global concern. The Bloomberg News has recorded temperature changes in the recent 135 years. As the hottest year, in 2014 the global surface temperature was as high as 1.39 degrees Fahrenheit, 0.68 degrees Celsius higher than the average in long-term. The severity of this issue has been proved with the refresh of the highest record^([1]) and the increasing temperature as well as people's personal experience. There is a demand of in-depth discussion about comprehensive and efficient reduction of carbon and greenhouse gas emission and the development of low carbon economy, with garbage classification as the most efficient breach but also most easily to be neglected by people. This article attempts to find a feasible method of carbon emission reduction from the perspective of garbage classification and resource recycling and make quantitative estimation of its value combined with local practice and data in Chengdu.展开更多
In recent years,garbage classification and environmental protection are gradually becoming an important step in the construction of ecological civilization in China.However,the popularity and commercial value of the a...In recent years,garbage classification and environmental protection are gradually becoming an important step in the construction of ecological civilization in China.However,the popularity and commercial value of the application of artificial intelligence trash cans in Beijing are not high at present.This article analyzes these problems one by one and propose solutions,hoping that the commercial value of artificial intelligence trash cans can be optimized and improved and to make the city greener.This paper uses the questionnaire method and the literature method to research and analyze the optimization of the business model of artificial intelligence in garbage classification.展开更多
In order to safeguard the biological framework on which human creatures depend for presence and make society feasible improvement, it is becoming increasingly important to classify garbage. In any case, individuals ar...In order to safeguard the biological framework on which human creatures depend for presence and make society feasible improvement, it is becoming increasingly important to classify garbage. In any case, individuals are not recognizable with the classification strategy, so it is troublesome for individuals to accurately get the classification of each kind of rubbish. A proper waste management system is a primary task in building a smart and healthy city. In arrange to direct individuals to classify garbage accurately, this paper proposes a strategy of rubbish classification and acknowledgment based on YOLOv7 which is a cutting edge real time object detector. Performance of this model is compared along with two other object detectors where Mask-RCNN achieved f-measurement of 85%, YOLOv5 achieved f-measurement of 95.1% and YOLOv7 achieved f-measurement 95.9%. We have used non-decomposable multiclass garbage images which entails messy backgrounds with unwanted images as well. Four classes of non-decomposable garbage data namely chips packet, plastic bottle, polythene and image with multiclass garbage with 1000 images are prepared for our dataset. Our experimental models performed well in classifying garbage images with cluttered backgrounds. We compared our test results to previous studies in which the majority of the models were tested and trained using laboratory images. The test comes about illustrates that the classification framework features a sensible degree of accuracy and the segmentation recognition impact is way better within the case of point-by-point picture, which can proficiently and helpfully total the rubbish classification errand.展开更多
In response to the "compulsory era" of garbage classification in many places across the country,the garbage classification method has become a hot topic in social conferences.In this paper,the discriminant a...In response to the "compulsory era" of garbage classification in many places across the country,the garbage classification method has become a hot topic in social conferences.In this paper,the discriminant analysis was used to quantify and discriminate the garbage by using distance discrimination,Fisher discriminant and Bayesian discriminant method,and the specific method of garbage classification was given.The article first divided the domestic garbage into 3 categories,and then selected 5 indicators of calorific value,organic matter content,degradable time,water content and heavy metal content to determine the specific garbage category of the garbage,and convert the classification of the garbage into a discriminant function.The size of the comparison was a problem.The article found that the 2 indicators of degradable time and heavy metal content were the main factors to distinguish between organic waste and hazardous waste.Through the rational classification of waste,it would reduce environmental pressure and turn waste into treasure,which is an effective boost for China’s sustainable development.展开更多
Mainly introduces intelligent classification trash can be dedicated to solving indoor household garbage classification.The trash can is based on AT89S52 single-chip microcomputer as the main control chip.The single-ch...Mainly introduces intelligent classification trash can be dedicated to solving indoor household garbage classification.The trash can is based on AT89S52 single-chip microcomputer as the main control chip.The single-chip microcomputer realizes the intelligent classification of garbage by controlling the voice module,mechanical drive module,and infrared detection module.The use of voice control technology and infrared detection technology makes the trash can have voice control and overflow alarm functions.The design has the advantages of simple and intelligent operation,simple structure,stable performance,low investment,etc.,which can further effectively isolate people and garbage,reduce human infection with bacteria,and is a feasible solution for classification at the source of garbage.展开更多
文摘Climate warming is one of the important environmental issues with global concern. The Bloomberg News has recorded temperature changes in the recent 135 years. As the hottest year, in 2014 the global surface temperature was as high as 1.39 degrees Fahrenheit, 0.68 degrees Celsius higher than the average in long-term. The severity of this issue has been proved with the refresh of the highest record^([1]) and the increasing temperature as well as people's personal experience. There is a demand of in-depth discussion about comprehensive and efficient reduction of carbon and greenhouse gas emission and the development of low carbon economy, with garbage classification as the most efficient breach but also most easily to be neglected by people. This article attempts to find a feasible method of carbon emission reduction from the perspective of garbage classification and resource recycling and make quantitative estimation of its value combined with local practice and data in Chengdu.
文摘In recent years,garbage classification and environmental protection are gradually becoming an important step in the construction of ecological civilization in China.However,the popularity and commercial value of the application of artificial intelligence trash cans in Beijing are not high at present.This article analyzes these problems one by one and propose solutions,hoping that the commercial value of artificial intelligence trash cans can be optimized and improved and to make the city greener.This paper uses the questionnaire method and the literature method to research and analyze the optimization of the business model of artificial intelligence in garbage classification.
文摘In order to safeguard the biological framework on which human creatures depend for presence and make society feasible improvement, it is becoming increasingly important to classify garbage. In any case, individuals are not recognizable with the classification strategy, so it is troublesome for individuals to accurately get the classification of each kind of rubbish. A proper waste management system is a primary task in building a smart and healthy city. In arrange to direct individuals to classify garbage accurately, this paper proposes a strategy of rubbish classification and acknowledgment based on YOLOv7 which is a cutting edge real time object detector. Performance of this model is compared along with two other object detectors where Mask-RCNN achieved f-measurement of 85%, YOLOv5 achieved f-measurement of 95.1% and YOLOv7 achieved f-measurement 95.9%. We have used non-decomposable multiclass garbage images which entails messy backgrounds with unwanted images as well. Four classes of non-decomposable garbage data namely chips packet, plastic bottle, polythene and image with multiclass garbage with 1000 images are prepared for our dataset. Our experimental models performed well in classifying garbage images with cluttered backgrounds. We compared our test results to previous studies in which the majority of the models were tested and trained using laboratory images. The test comes about illustrates that the classification framework features a sensible degree of accuracy and the segmentation recognition impact is way better within the case of point-by-point picture, which can proficiently and helpfully total the rubbish classification errand.
文摘In response to the "compulsory era" of garbage classification in many places across the country,the garbage classification method has become a hot topic in social conferences.In this paper,the discriminant analysis was used to quantify and discriminate the garbage by using distance discrimination,Fisher discriminant and Bayesian discriminant method,and the specific method of garbage classification was given.The article first divided the domestic garbage into 3 categories,and then selected 5 indicators of calorific value,organic matter content,degradable time,water content and heavy metal content to determine the specific garbage category of the garbage,and convert the classification of the garbage into a discriminant function.The size of the comparison was a problem.The article found that the 2 indicators of degradable time and heavy metal content were the main factors to distinguish between organic waste and hazardous waste.Through the rational classification of waste,it would reduce environmental pressure and turn waste into treasure,which is an effective boost for China’s sustainable development.
基金This work is supported by Guangxi Vocational Education Teaching Reform Research Project(GXGZJG2020B149)Higher Education Department of the Ministry of Education Industry-University Cooperative Education Project.
文摘Mainly introduces intelligent classification trash can be dedicated to solving indoor household garbage classification.The trash can is based on AT89S52 single-chip microcomputer as the main control chip.The single-chip microcomputer realizes the intelligent classification of garbage by controlling the voice module,mechanical drive module,and infrared detection module.The use of voice control technology and infrared detection technology makes the trash can have voice control and overflow alarm functions.The design has the advantages of simple and intelligent operation,simple structure,stable performance,low investment,etc.,which can further effectively isolate people and garbage,reduce human infection with bacteria,and is a feasible solution for classification at the source of garbage.
