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AI and IoT based Garbage classification for the smart city using ESP32 cam

C. Anjanappa, S. Parameshwara, M. K. Vishwanath, Manish Shrimali, C. Ashwini
2022 International Journal of Health Sciences  
This Artificial Intelligence (AI) model will be built using the CNN algorithm. The model is trained with many epochs and validated for higher accuracy and lesser loss value.  ...  This dustbin is also capable of displaying the space availability of the dustbin through IoT.  ...  CNN Model An AI model is a computer-generated classification system for photos, texts, and even noises. A variety of AI algorithms can be used to generate this AI model.  ... 
doi:10.53730/ijhs.v6ns3.6905 fatcat:ty2vz5dhvrbcznk3whoxjuaika

A Deep Trash Classification Model on Raspberry Pi 4

Thien Khai Tran, Kha Tu Huynh, Dac-Nhuong Le, Muhammad Arif, Hoa Minh Dinh
2023 Intelligent Automation and Soft Computing  
Trash classification from a collection of trash images can limit the overloading of garbage disposal systems and efficiently promote recycling activities; thus, development of such a classification system  ...  This paper proposed an effective trash classification system that relies on a classification module embedded in a hard-ware setup to classify trash in real time.  ...  paper proposed an automatic classification system that combined AI and the IoT.  ... 
doi:10.32604/iasc.2023.029078 fatcat:75l4eyqyufblfcewxbysq63cue

When Data Science Meets Internet of Things [article]

Kocovic Petar, Radenkovic Bozidar
2022 Zenodo  
The potential and challenges of machine learning for IoT data analytics will also be discussed.  ...  Intelligent processing and analysis of these big data are the keys to developing smart IoT applications.  ...  Figure 11 - 11 Figure 11 -Traffic Management System IoT Based Garbage Monitoring System FIGURE 12 - 12 FIGURE 12 -RFID based recycle bin and container management system IoT Based Street Light Monitoring  ... 
doi:10.5281/zenodo.5901123 fatcat:7jt35pnk3jccvaacfll3l5kybq

GRUBin: Time-Series Forecasting-Based Efficient Garbage Monitoring and Management System for Smart Cities

Dhaneshwar Mishra, Sujal Laxmikant Vajire, Siddhant Saxena, Punit Gupta, Dinesh Kumar Saini, Ashish Kumar Srivastava, G. Madhusudhana Rao, Vijay Kumar
2022 Computational Intelligence and Neuroscience  
In this work, we propose an efficient and scalable garbage monitoring and collection methodology based on time-series forecasting techniques.  ...  Currently deployed systems are failing to monitor the garbage production as they use IoT-based pipelines to monitor the production in a locality, but often the device is used to get destroyed by the frequent  ...  Proposed Waste Management System Based on time-series forecasting approaches, we propose a robust and cost-effective garbage monitoring system for a large-scale smart city project in this study.  ... 
doi:10.1155/2022/2538807 fatcat:aplcjsfpp5aazl6hk7negjetni


V. Srinithi Santhana Lakshmi, P. Sujatha, M. Swathi, P. Premadevi
2020 International Journal of Engineering Applied Sciences and Technology  
Our project proposes a smart AI dustbin which is Collect the Real time dataset of what's in the Garbage and Classify the Waste. Prepare the Dataset for an Image classification.  ...  Based on the image processing output, the respective degradable and non-degradable dustbins are opened by showing relay operations.  ...  , and IoT devices.  ... 
doi:10.33564/ijeast.2020.v05i03.078 fatcat:cnkg64xhdbdjlgstcziuc7brlq

Cloud-based Product-Service Systems Platform for Household Solid Waste Classification Management

Wan Ming, Ting Qu, Huang Manna, Li Lian hui, George Q. Huang
2020 IET Collaborative Intelligent Manufacturing  
Under this background, this research carries out a preliminary study on the HSW classification system and the resource servitisation.  ...  According to the HSW classification process, a cloud-based product-service systems (PSSs) platform, targeting on managing those solid waste management resources such as internet of things enabled smart  ...  [19] proposed a solid waste collection Kanban system based on internet of things (IoT) technology. Meng et al. [20] proposed a multi-agent based HSW separation and recycling system model.  ... 
doi:10.1049/iet-cim.2019.0062 fatcat:mryx5sc7djgw7lddxwpnmrjwb4

Dynamics and an efficient malware detection system using opcode sequence graph generation and ml algorithm

Bharathi Panduri, Madhurika Vummenthala, Spoorthi Jonnalagadda, Garwandha Ashwini, Naruvadi Nagamani, Amanagati Akhila, S. Tummala, S. Kosaraju, P. Bobba, S. Singh
2020 E3S Web of Conferences  
For the purpose of tracking the prevalence of various malwares on the network, counts and against garbage code injection assault.  ...  For robust classification, Support vector machine and n gram Sequencing algorithms are proposed in this paper.  ...  Most of the IOBT and IoT systems contain a prolonged series of instructions called Opcodes which should be executed on device central processor.  ... 
doi:10.1051/e3sconf/202018401009 fatcat:7ak62ebgwbenfeas7xaol6tthe

A CNN-Based Smart Waste Management System Using TensorFlow Lite and LoRa-GPS Shield in Internet of Things Environment

Nicholas Chieng Anak Sallang, Mohammad Tariqul Islam, Mohammad Shahidul Islam, Haslina Arshad
2021 IEEE Access  
As traditional waste management system is highly inefficient and costly, the waste of resources can be utilized efficiently with the integration of the internet of things (IoT) and deep learning model.  ...  The main purpose of this research is to develop a smart waste management system using the deep learning model that improves the waste segregation process and enables monitoring of bin status in an IoT  ...  A dustbin is interfaced with a microcontroller-based system with IR wireless systems and a central system displaying current garbage status.  ... 
doi:10.1109/access.2021.3128314 fatcat:naikyyfnqzdonhmd2acqce4eq4

Role of Wireless Aided Technologies in the Solid Waste Management: A Comprehensive Review

Shaik Vaseem Akram, Rajesh Singh, Anita Gehlot, Mamoon Rashid, Ahmed Saeed AlGhamdi, Sultan S. Alshamrani, Deepak Prashar
2021 Sustainability  
It is also identified that selection of the appropriate wireless communication protocol is critical during the implementation of IoT-based system because the sensor node at the bins is battery-powered.  ...  From the review, it is concluded that the implementation of the Internet of Things (IoT) plays a significant role in minimizing the negative impact of waste on the environment.  ...  Recent studies of IoT-based waste management systems started focusing on the classification of the waste.  ... 
doi:10.3390/su132313104 fatcat:cupcv2cihvaltnk67vyqjhozuy

Smart Waste Segregation and Monitoring System using IoT

Sowndharya V, Savitha P, Hebziba Jeba Rani S
2019 International Research Journal of Multidisciplinary Technovation  
The proposed system separates the waste into three categories namely wet, dry and metallic waste. This developed system is not only cost efficient also makes the waste management productive one.  ...  The amount of waste has been increasing due to the increase in human population and urbanization. In cities, the overflowed bin creates an unhygienic environment.  ...  It is an IoT based Waste Segregation and Monitoring system which is an innovative way to keep the cities clean and healthy.  ... 
doi:10.34256/irjmt1921 fatcat:3ywjrolcnjfxjgtdhnjpshyqfe

Table of Contents

2021 2021 5th International Conference on Computing Methodologies and Communication (ICCMC)  
Karthik, K.Lakshmi IoT based Smart Garbage System Preprocessing Phase of Text Sequence Generation for Gujarati Language Sheetal S. Pandya, Nilesh B.  ...  Srujana Noor Afiza bt Mohd Ariffin Big Data Streaming Architecture for Edge Computing Using Kafka and Rockset Ajay Bandi, ulio Ariel Hurtado Smart Garbage Monitoring System using Internet of Things(IoT  ... 
doi:10.1109/iccmc51019.2021.9418328 fatcat:xp2r5e6iwzadhlobd6kjlsn3oq

Authors Index

2021 2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI)  
Sensors Integration for Water Quality Analysis An Efficient System to Collect Data for AI Training on Multi-Category Object Counting Task Enhancement Design for Smart Parking System Using IoT and A-Star  ...  for Data Warehouse Development Prediction Developing An Automated Face Mask Detection Using Computer An Efficient System to Collect Data for AI Training on Multi-Category Object Counting Task Vision and  ...  Hendro Nindito Application of Internet of Things in Smart City: A Systematic Literature Review Hendro Nindito Cultural Tourism Technology Used and Themes: A Literature Review Hendy Tannady Analysis of  ... 
doi:10.1109/iccsai53272.2021.9609791 fatcat:oyxvcqwj3nf7tpa5fu2dagkzn4

WasNet: A Neural Network-based Garbage Collection Management System

Zhihu Yang, Dan Li
2020 IEEE Access  
The accuracy on the ImageNet data set is 64.5%, on the Garbage Classification dataset it is 82.5%, and on the TrashNet dataset it is 96.10%.  ...  In response to the increasing pollution caused by unseparated garbage, classification systems for garbage separation have become very popular.  ...  ACKNOWLEDGMENT The authors thank the Huawei Cloud Waste Classification Competition for providing the data set, which significantly contributed to the proposed waste classification and recycling system.  ... 
doi:10.1109/access.2020.2999678 fatcat:x7m3gowvvjcdzdy5z5b74dir64

Smart eNose Food Waste Management System

Shazmina Gull, Imran Sarwar Bajwa, Waheed Anwar, Rubina Rashid, Roberto Paolesse
2021 Journal of Sensors  
On the rule set, we implement this system working to measure the weight of food wastage and to predict the food item.  ...  The IoT becomes a prime factor of human life. As in this running world, no one cares about the wastage of food. However, this causes environment pollution as well as loss of many lives.  ...  The IoT-based smart garbage and waste collection bin [11] used IR for level detection, weight sensor, and Wi-Fi.  ... 
doi:10.1155/2021/9931228 fatcat:th2bq2roi5azrpbfw4xza3r5gm

Table of Contents

2020 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)  
Senthil Ganesh 527 95 AI Assisted Internet Finance Intelligent Risk Control System Based on Reptile Data Mining and Fuzzy Clustering Nana Yang 533 96 Impact of Supervised Classification Techniques  ...  Kalmani 134 25 Garbage Collection System using IoT for Smart City Mohit Badve, Apoorva Chaudhari, Palak Davda, Vinal Bagaria, Dhananjay Kalbande 138 26 Saur Sikka : An IoT based Prototype of  ... 
doi:10.1109/i-smac49090.2020.9243441 fatcat:tmn4i477wfddzion6tzlw57wj4
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