IoT Based Garbage Monitoring System pptRanjan Gupta
ย
This document presents an IOT-based garbage monitoring system that uses ultrasonic sensors and a microcontroller to detect garbage levels in bins. The system sends this data over WiFi to a web page that graphically displays the garbage levels in each bin in real-time. When a bin reaches capacity, the system alerts municipal workers to empty it. This innovative system aims to help keep cities clean and support initiatives like Swachh Bharat Mission by optimizing garbage collection.
The document presents a project on an IOT Garbage Monitoring System. It includes an introduction describing the system, which monitors garbage bins and informs about fill levels via a web page. It then outlines the presentation which covers the introduction, block diagram, hardware/software methodology, applications, and conclusions. The hardware/software section describes the components used including a microcontroller, WiFi modem, sensors, and LCD display. The system aims to help keep cities clean and make the garbage collection process more transparent and efficient.
This document describes a project to create a "Smart Dustbin" that uses sensors and communication technologies to monitor garbage levels and notify authorities when bins are full. The system uses infrared sensors to detect garbage levels in bins and sends SMS alerts to municipal authorities. When a bin reaches 90% capacity, a buzzer sounds and LED lights indicate the full status. The lid also prevents additional garbage from being added. The goal is to improve waste management and support cleanliness initiatives through automated monitoring of public garbage bins.
This document describes an IOT-based garbage monitoring system that uses ultrasonic sensors attached inside dustbins to detect whether they are empty or full. The sensor data is sent to an ATmega16 microcontroller via WiFi, and the microcontroller displays the status on an LCD and sends the data to a server. The server software manages the live dustbin level monitoring data. The system is intended to help manage waste more efficiently in places like homes, offices, and colleges.
Medical waste segregation using deep learningSairam Adithya
ย
This is a project that I have made using CNN and web development. This project can detect the type of medical waste along with the suitable color bin and some relevant information about its disposal.
Ceph is an open-source distributed storage platform that provides file, block, and object storage in a single unified system. It uses a distributed storage component called RADOS that provides reliable and scalable storage through data replication and erasure coding across commodity hardware. Higher-level services like RBD provide virtual block devices, RGW provides S3-compatible object storage, and CephFS provides a distributed file system.
This document proposes an IoT-based smart city waste management system using ultrasonic sensors, a microcontroller, WiFi modem, and android app. The system monitors garbage bin levels, alerts when bins are full, and displays status on a web page. This allows for more efficient waste collection, reduced costs, and improved public services. The system implementation details include hardware components, software specifications, circuit diagram, and programming of the microcontroller to interface with sensors and transmit data via WiFi modem. Future work could expand monitoring to more bins across the city.
This document describes an IOT-based smart bin system that uses sensors to monitor waste levels in bins. Sensors in each bin will measure and calculate waste levels and send that data to a server via the internet. The server will process the information and notify the proper authorities if a bin is full so they can take appropriate action. Users will also be able to check bin levels using a mobile app by inputting the bin ID. The system aims to help efficiently manage waste collection and transportation using real-time bin monitoring and data analysis.
This smart garbage monitoring system presentation uses the concept of internet of things. The Architecture & work flow diagram shows the clear picture of implementation of internet of things based garbage bin and we also have mentioned the set of tools required to achieve the same.
IoT Based Garbage Monitoring System pptRanjan Gupta
ย
1) A group of students presented on an IOT Garbage Monitoring System to help keep cities clean.
2) The system uses ultrasonic sensors and a microcontroller to monitor garbage levels in bins and displays the status on an LCD screen and web page.
3) When fully implemented, the system will help support initiatives like Swachh Bharat Mission by enabling real-time garbage monitoring and efficient collection.
IoT Based Intelligent Bin For Smart CitiesAbhisek Sahoo
ย
Smart cities include obstacle tracking, object sensing, traffic control, tracking of our activities. IOT Based Intelligent Bin for Smart Cities has been developed for efficiently management of the bins in the cities.
This project aims to develop an IoT-based smart garbage monitoring system using an Arduino board, ultrasonic sensor, GSM module, and cloud platform. The system monitors garbage bin levels and alerts municipal authorities via SMS when bins are full to help keep the environment clean and hygienic. It works by using an ultrasonic sensor to detect waste levels in bins and sending data to a cloud server, then alerts are triggered to responsible parties if the bin exceeds a threshold level. This automatic monitoring system helps address issues of overflowing bins and improves sanitation.
City administration needs to understanding of the generating report control over pricing.
District administration are inserted in controlling the project of waste collection ,checking quility of service
waste truck drive need navigation system and reporting problem system
Citizens want to have better service,lower cost and easy accessibile cost
This is implemented to designed a simple system called Smart Dustbin using Arduino, Ultrasonic Sensor and Servo Motor, where the lid of the dustbin will automatically open itself upon detection of human hand.
This document describes a smart waste management system using sensors in dustbins. Dustbins are equipped with ultrasonic sensors to detect fill levels and GPS to track locations. When bins reach maximum capacity, the system notifies authorities to schedule collection. It aims to optimize collection routes and reduce costs, vehicles, and environmental impact compared to traditional waste management. Some challenges include cost effectiveness and difficulty standardizing practices across sites. Further development could expand to separate wet and dry waste collection to enable biogas recovery.
This document describes a smart dustbin system that uses ultrasonic sensors and a GSM module connected to an Arduino Uno microcontroller board. The ultrasonic sensor measures the garbage level in the dustbin and sends this information to the Arduino. When the dustbin becomes full, the Arduino instructs the GSM module to send an SMS alert with the dustbin ID to a predefined phone number. This alerts sanitation workers that the dustbin needs to be emptied. The system aims to help manage waste more efficiently and keep areas cleaner.
This document summarizes a technical seminar on smart dustbins for smart cities presented by Ved Prakash. The presentation describes a proposed system of internet-enabled dustbins that use sensors to detect fill levels and send that data via GPS to a central server. The server then processes queries from a mobile app to direct users to the nearest available dustbin. Implementing this smart dustbin system could optimize garbage collection routes, reduce costs, and provide data to help plan waste management. In conclusion, properly implementing smart dustbins could help make cities cleaner and support the vision of smart cities.
This document proposes a smart garbage monitoring system using Internet of Things (IoT) technology. The system uses an ultrasonic sensor, ESP8266 WiFi module, and Arduino microcontroller to monitor garbage levels in trash cans and send real-time data to ThingSpeak. This allows for optimized garbage collection routes to reduce costs, fuel consumption, and improve cleanliness. The system costs approximately 905 Rs to build and offers benefits like dynamic routing, cost reduction, reduced CO2 emissions, and improved cleanliness.
This document proposes a smart waste management system using IoT for developing countries. It discusses motivations like environmental pollution from untreated waste. The proposed system features include being automated, time efficient, reducing losses, and creating jobs. It will use algorithms like linear regression, decision trees, and K-means clustering. Two algorithms are described: one uses a Decreasing Time Algorithm to assign smart bins and prioritize waste collection. The other uses DTA to assign waste collection trucks. The system was tested in a closed area experiment and showed improved efficiency over a normal system. Future plans include expanding the pilot program and generating revenue through compost sales and exporting treated waste.
This document discusses an Internet of Things (IOT) based garbage monitoring system. It begins with an introduction to IOT and its role in connecting physical objects through the internet. It then discusses waste management, which involves both monitoring garbage levels and regularly reporting data. The document outlines the key components of an IOT system for garbage monitoring, including sensors to detect fill levels and transmit data via technologies like RFID and WiFi. It proposes a system to help automate waste collection and prevent overflowing bins. In conclusion, while IOT offers benefits for smart cities, it also raises issues around privacy, security, and job disruption that technologies enable.
This document describes a smart dustbin that uses an Arduino and ultrasonic sensor. The smart dustbin opens automatically when garbage comes near the ultrasonic sensor. It aims to make waste management easier by reducing the need for human interaction to open the dustbin. The smart dustbin consists of an Arduino, servo motor, ultrasonic sensor, dustbin, and jumper wires. It works by using the ultrasonic sensor to detect when an object is near the dustbin and signals the Arduino, which activates the servo motor to open the dustbin lid.
This document describes a smart garbage monitoring system that uses an ultrasonic sensor and Arduino board to detect waste levels in a dustbin. When the dustbin becomes full, the system alerts authorities using a WiFi module and buzzer. The system aims to reduce manual garbage collection and improve waste management and environmental cleanliness.
Project report on Iot Based Garbage Monitoring System alok pal
ย
This is an innovative project idea which is based on Internet of Things,which will be helpful to keep the city clean.This system monitors garbage level in the garbage bins and informs about the level of garbage collected in the bin via web page. In this project we are using garbage Monitoring concept with help of DHT11 sensor and Ultrasonic sensors and Mediatek Linkit One Board,MQTT protocol is used to publish the status of garbage bin to the cloud,which can be accessed by respective Authorities
The document describes a smart irrigation system using IoT that was presented in a seminar. The system aims to save water and reduce human intervention in agriculture by continuously monitoring soil moisture sensors and providing water automatically when needed. It uses an Arduino microcontroller, soil moisture sensor, LED, resistor, and water pump. The sensor measures moisture levels, which are compared to a threshold value set in the code. If the reading is above the threshold, the LED turns on and water is pumped to the crops. This smart system allows for more efficient irrigation to increase productivity while reducing water usage and costs.
A ppt on smart waste segregation designed to used at commercial places like Hospitals, Offices, MNCs, Park, etc...You can also use this as your school/ college's project topic.
ENJOY !!!
This document proposes solutions for smart solid waste management in cities. It suggests replacing existing garbage bins with new Wi-Fi enabled sensor bins that can detect fill levels and send signals to collection vehicles. This would optimize collection routes and resources. Data from the smart bins could provide metrics like waste collected over time and bin maintenance needs. The document also discusses applying the 3R methodology of reduce, reuse and recycle to minimize waste. Other proposed solutions include converting waste to energy through waste-to-power plants, using plastic waste to construct roads, and generating biogas from organic waste.
The govt. of India has launched various smart city projects and for these cities to be smarter it is necessary that the system which collects the garbage has to be smarter. In addition to that it is necessary that people need easy accessibility to the garbage disposing points as well as the garbage collection process. It has to be efficient in terms of time and fuel cost. Most of the urban cities and town in India are not well designed to facilitate the proper garbage disposing and collection mechanism. Also there are cities which are expanding rapidly and are putting the pressure on the current infrastructure which is not developing at the same pace as that of the current urbanization. In our propose system we are going to check garbage fill status of the dustbin by using Ultrasonic Sensor, Buzzer, Arduino Board, Moisture Sensor, Wifi Model this will check the status and send the message to cloud that Dustbin is full, then message is sent to collection van through Wifi Module then garbage collection is done, if the Dustbin is not cleaned in paticular time we will send message to higher authority and they will take approprite action on it.Our proposed system is going to segregate Dry and Wet garbage. Therefore, the Automatic Garbage Fill Alerting system makes the garbage collection more efficient, which will ultimately make our dustbins and also cities smart at the same time. Dhaval Patel | Aditya Kulkarni | Hrushikesh Udar | Sachin Sharma ""Smart Dustbins for Smart Cities"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd22993.pdf
Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/22993/smart-dustbins-for-smart-cities/dhaval-patel
An Efficient Smart Garbage Disposal System - A Reviewijtsrd
ย
In the recent decades, Urbanization has increased tremendously. At the same phase there is an increase in waste production. Waste management has been a crucial issue to be considered. This review paper is a way to achieve this good cause. In this review paper, smart bin is built on a microcontroller based platform. Microcontroller would be programmed in such a way that it could control the operations of servo doors. This microcontroller would control all three components of our project. The basic idea of our project is the van could move around area given to it. The van is basically a line following robot which would stop at certain intervals below the container, the container would drop off the garbage into the van. The van would go to next station and drop the garbage into the dumping pit. Once these smart bins are implemented on a large scale, by replacing our traditional bins present today, waste can be managed efficiently as it avoids unnecessary lumping of wastes on roadside .Foul smell from these rotten wastes that remain untreated for a long time, due to negligence of authorities and carelessness of public may lead to long term problems. Breeding of insects and mosquitoes can create nuisance around promoting unclean environment. This may even cause dreadful diseases. Abhijeet Gothankar | Shubham Katkar | Swapnatej Pawar | Tejaskumar Dhalmare | Suhasini Goilkar"An Efficient Smart Garbage Disposal System - A Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-2 , February 2018, URL: http://www.ijtsrd.com/papers/ijtsrd9605.pdf http://www.ijtsrd.com/engineering/mechanical-engineering/9605/an-efficient-smart-garbage-disposal-system---a-review/abhijeet-gothankar
This document proposes an IoT-based smart city waste management system using ultrasonic sensors, a microcontroller, WiFi modem, and android app. The system monitors garbage bin levels, alerts when bins are full, and displays status on a web page. This allows for more efficient waste collection, reduced costs, and improved public services. The system implementation details include hardware components, software specifications, circuit diagram, and programming of the microcontroller to interface with sensors and transmit data via WiFi modem. Future work could expand monitoring to more bins across the city.
This document describes an IOT-based smart bin system that uses sensors to monitor waste levels in bins. Sensors in each bin will measure and calculate waste levels and send that data to a server via the internet. The server will process the information and notify the proper authorities if a bin is full so they can take appropriate action. Users will also be able to check bin levels using a mobile app by inputting the bin ID. The system aims to help efficiently manage waste collection and transportation using real-time bin monitoring and data analysis.
This smart garbage monitoring system presentation uses the concept of internet of things. The Architecture & work flow diagram shows the clear picture of implementation of internet of things based garbage bin and we also have mentioned the set of tools required to achieve the same.
IoT Based Garbage Monitoring System pptRanjan Gupta
ย
1) A group of students presented on an IOT Garbage Monitoring System to help keep cities clean.
2) The system uses ultrasonic sensors and a microcontroller to monitor garbage levels in bins and displays the status on an LCD screen and web page.
3) When fully implemented, the system will help support initiatives like Swachh Bharat Mission by enabling real-time garbage monitoring and efficient collection.
IoT Based Intelligent Bin For Smart CitiesAbhisek Sahoo
ย
Smart cities include obstacle tracking, object sensing, traffic control, tracking of our activities. IOT Based Intelligent Bin for Smart Cities has been developed for efficiently management of the bins in the cities.
This project aims to develop an IoT-based smart garbage monitoring system using an Arduino board, ultrasonic sensor, GSM module, and cloud platform. The system monitors garbage bin levels and alerts municipal authorities via SMS when bins are full to help keep the environment clean and hygienic. It works by using an ultrasonic sensor to detect waste levels in bins and sending data to a cloud server, then alerts are triggered to responsible parties if the bin exceeds a threshold level. This automatic monitoring system helps address issues of overflowing bins and improves sanitation.
City administration needs to understanding of the generating report control over pricing.
District administration are inserted in controlling the project of waste collection ,checking quility of service
waste truck drive need navigation system and reporting problem system
Citizens want to have better service,lower cost and easy accessibile cost
This is implemented to designed a simple system called Smart Dustbin using Arduino, Ultrasonic Sensor and Servo Motor, where the lid of the dustbin will automatically open itself upon detection of human hand.
This document describes a smart waste management system using sensors in dustbins. Dustbins are equipped with ultrasonic sensors to detect fill levels and GPS to track locations. When bins reach maximum capacity, the system notifies authorities to schedule collection. It aims to optimize collection routes and reduce costs, vehicles, and environmental impact compared to traditional waste management. Some challenges include cost effectiveness and difficulty standardizing practices across sites. Further development could expand to separate wet and dry waste collection to enable biogas recovery.
This document describes a smart dustbin system that uses ultrasonic sensors and a GSM module connected to an Arduino Uno microcontroller board. The ultrasonic sensor measures the garbage level in the dustbin and sends this information to the Arduino. When the dustbin becomes full, the Arduino instructs the GSM module to send an SMS alert with the dustbin ID to a predefined phone number. This alerts sanitation workers that the dustbin needs to be emptied. The system aims to help manage waste more efficiently and keep areas cleaner.
This document summarizes a technical seminar on smart dustbins for smart cities presented by Ved Prakash. The presentation describes a proposed system of internet-enabled dustbins that use sensors to detect fill levels and send that data via GPS to a central server. The server then processes queries from a mobile app to direct users to the nearest available dustbin. Implementing this smart dustbin system could optimize garbage collection routes, reduce costs, and provide data to help plan waste management. In conclusion, properly implementing smart dustbins could help make cities cleaner and support the vision of smart cities.
This document proposes a smart garbage monitoring system using Internet of Things (IoT) technology. The system uses an ultrasonic sensor, ESP8266 WiFi module, and Arduino microcontroller to monitor garbage levels in trash cans and send real-time data to ThingSpeak. This allows for optimized garbage collection routes to reduce costs, fuel consumption, and improve cleanliness. The system costs approximately 905 Rs to build and offers benefits like dynamic routing, cost reduction, reduced CO2 emissions, and improved cleanliness.
This document proposes a smart waste management system using IoT for developing countries. It discusses motivations like environmental pollution from untreated waste. The proposed system features include being automated, time efficient, reducing losses, and creating jobs. It will use algorithms like linear regression, decision trees, and K-means clustering. Two algorithms are described: one uses a Decreasing Time Algorithm to assign smart bins and prioritize waste collection. The other uses DTA to assign waste collection trucks. The system was tested in a closed area experiment and showed improved efficiency over a normal system. Future plans include expanding the pilot program and generating revenue through compost sales and exporting treated waste.
This document discusses an Internet of Things (IOT) based garbage monitoring system. It begins with an introduction to IOT and its role in connecting physical objects through the internet. It then discusses waste management, which involves both monitoring garbage levels and regularly reporting data. The document outlines the key components of an IOT system for garbage monitoring, including sensors to detect fill levels and transmit data via technologies like RFID and WiFi. It proposes a system to help automate waste collection and prevent overflowing bins. In conclusion, while IOT offers benefits for smart cities, it also raises issues around privacy, security, and job disruption that technologies enable.
This document describes a smart dustbin that uses an Arduino and ultrasonic sensor. The smart dustbin opens automatically when garbage comes near the ultrasonic sensor. It aims to make waste management easier by reducing the need for human interaction to open the dustbin. The smart dustbin consists of an Arduino, servo motor, ultrasonic sensor, dustbin, and jumper wires. It works by using the ultrasonic sensor to detect when an object is near the dustbin and signals the Arduino, which activates the servo motor to open the dustbin lid.
This document describes a smart garbage monitoring system that uses an ultrasonic sensor and Arduino board to detect waste levels in a dustbin. When the dustbin becomes full, the system alerts authorities using a WiFi module and buzzer. The system aims to reduce manual garbage collection and improve waste management and environmental cleanliness.
Project report on Iot Based Garbage Monitoring System alok pal
ย
This is an innovative project idea which is based on Internet of Things,which will be helpful to keep the city clean.This system monitors garbage level in the garbage bins and informs about the level of garbage collected in the bin via web page. In this project we are using garbage Monitoring concept with help of DHT11 sensor and Ultrasonic sensors and Mediatek Linkit One Board,MQTT protocol is used to publish the status of garbage bin to the cloud,which can be accessed by respective Authorities
The document describes a smart irrigation system using IoT that was presented in a seminar. The system aims to save water and reduce human intervention in agriculture by continuously monitoring soil moisture sensors and providing water automatically when needed. It uses an Arduino microcontroller, soil moisture sensor, LED, resistor, and water pump. The sensor measures moisture levels, which are compared to a threshold value set in the code. If the reading is above the threshold, the LED turns on and water is pumped to the crops. This smart system allows for more efficient irrigation to increase productivity while reducing water usage and costs.
A ppt on smart waste segregation designed to used at commercial places like Hospitals, Offices, MNCs, Park, etc...You can also use this as your school/ college's project topic.
ENJOY !!!
This document proposes solutions for smart solid waste management in cities. It suggests replacing existing garbage bins with new Wi-Fi enabled sensor bins that can detect fill levels and send signals to collection vehicles. This would optimize collection routes and resources. Data from the smart bins could provide metrics like waste collected over time and bin maintenance needs. The document also discusses applying the 3R methodology of reduce, reuse and recycle to minimize waste. Other proposed solutions include converting waste to energy through waste-to-power plants, using plastic waste to construct roads, and generating biogas from organic waste.
The govt. of India has launched various smart city projects and for these cities to be smarter it is necessary that the system which collects the garbage has to be smarter. In addition to that it is necessary that people need easy accessibility to the garbage disposing points as well as the garbage collection process. It has to be efficient in terms of time and fuel cost. Most of the urban cities and town in India are not well designed to facilitate the proper garbage disposing and collection mechanism. Also there are cities which are expanding rapidly and are putting the pressure on the current infrastructure which is not developing at the same pace as that of the current urbanization. In our propose system we are going to check garbage fill status of the dustbin by using Ultrasonic Sensor, Buzzer, Arduino Board, Moisture Sensor, Wifi Model this will check the status and send the message to cloud that Dustbin is full, then message is sent to collection van through Wifi Module then garbage collection is done, if the Dustbin is not cleaned in paticular time we will send message to higher authority and they will take approprite action on it.Our proposed system is going to segregate Dry and Wet garbage. Therefore, the Automatic Garbage Fill Alerting system makes the garbage collection more efficient, which will ultimately make our dustbins and also cities smart at the same time. Dhaval Patel | Aditya Kulkarni | Hrushikesh Udar | Sachin Sharma ""Smart Dustbins for Smart Cities"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd22993.pdf
Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/22993/smart-dustbins-for-smart-cities/dhaval-patel
An Efficient Smart Garbage Disposal System - A Reviewijtsrd
ย
In the recent decades, Urbanization has increased tremendously. At the same phase there is an increase in waste production. Waste management has been a crucial issue to be considered. This review paper is a way to achieve this good cause. In this review paper, smart bin is built on a microcontroller based platform. Microcontroller would be programmed in such a way that it could control the operations of servo doors. This microcontroller would control all three components of our project. The basic idea of our project is the van could move around area given to it. The van is basically a line following robot which would stop at certain intervals below the container, the container would drop off the garbage into the van. The van would go to next station and drop the garbage into the dumping pit. Once these smart bins are implemented on a large scale, by replacing our traditional bins present today, waste can be managed efficiently as it avoids unnecessary lumping of wastes on roadside .Foul smell from these rotten wastes that remain untreated for a long time, due to negligence of authorities and carelessness of public may lead to long term problems. Breeding of insects and mosquitoes can create nuisance around promoting unclean environment. This may even cause dreadful diseases. Abhijeet Gothankar | Shubham Katkar | Swapnatej Pawar | Tejaskumar Dhalmare | Suhasini Goilkar"An Efficient Smart Garbage Disposal System - A Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-2 , February 2018, URL: http://www.ijtsrd.com/papers/ijtsrd9605.pdf http://www.ijtsrd.com/engineering/mechanical-engineering/9605/an-efficient-smart-garbage-disposal-system---a-review/abhijeet-gothankar
This document describes an IoT-enabled smart waste management system. It discusses the drawbacks of traditional waste collection methods like lack of real-time information and inefficient routing. The proposed system uses ultrasonic sensors in smart bins to monitor fill levels and send data to a controller via WiFi. When bins pass a threshold, notifications are sent to cleaning crews. This allows for optimized collection routes and schedules. The system aims to improve efficiency, reduce costs and fuel consumption, and create a cleaner environment.
IRJET - Smart Garbage Monitoring System using NodeMCUIRJET Journal
ย
This document describes a smart garbage monitoring system using NodeMCU. The system monitors garbage levels in bins using ultrasonic sensors connected to a NodeMCU microcontroller. It transmits bin fill levels over WiFi to a website. When bins reach capacity, authorities can empty them. This automated system addresses issues with manual garbage collection by providing real-time bin monitoring to promote cleanliness and public health.
Design of IOT Garbage Monitoring with Weight SensingIRJET Journal
ย
This document summarizes a research paper that designed an IoT-based garbage monitoring system using weight and ultrasonic sensors. The system senses the fill level and weight of garbage bins and sends this data over WiFi. This allows authorities to know when bins are full based on either the detected fill level or reached weight threshold. Using both sensors provides more accurate monitoring compared to only using one sensor. The system uses a node microcontroller, LCD screen, and WiFi modem. It aims to improve garbage management efficiency by automatically informing authorities when bins need to be emptied.
The document describes a proposed smart garbage management system using IoT. Key elements include:
- Garbage bins would be equipped with ultrasonic sensors to detect fill levels and moisture sensors to detect wet/dry waste.
- When bins reach a threshold fill level, an alarm and LED would trigger to notify collection.
- Sensor data would be sent via ESP8266 WiFi modules to a cloud server for monitoring.
- Email/SMS alerts would notify staff to empty full bins, improving collection efficiency.
The document describes a proposed smart garbage management system using IoT. Key elements include:
- Garbage bins would be equipped with ultrasonic sensors to detect fill levels and moisture sensors to detect wet/dry waste.
- When bins reach a threshold fill level, an alarm and LED would trigger to notify collection.
- Sensor data would be sent via ESP8266 WiFi modules to a cloud server for monitoring.
- Email/SMS alerts would notify staff to empty full bins, improving collection efficiency.
This document summarizes several research papers on automated waste management systems. It begins by outlining some key issues with current waste collection practices, including the large amount of waste generated globally and lack of access to regular trash collection in many areas. It then summarizes 6 research papers on different automated waste segregation and monitoring systems that use technologies like sensors, microcontrollers, GPS, and IoT. It identifies some limitations or gaps in these systems, such as sensor accuracy issues, short wireless range, reliance on networks, and human intervention still required for segregation. Finally, it describes the overall design of the Automated Waste Segregator system presented in the paper, which aims to provide a more efficient solution to waste management.
This document describes a smart waste monitoring system that uses sensors and wireless communication to automatically monitor waste levels in garbage bins. An ultrasonic sensor is mounted on top of the bin to measure the distance from the sensor to the top of the waste. A microcontroller processes the sensor data and sends alerts via cloud server when the waste level reaches a threshold. The system aims to improve waste management efficiency by alerting collectors only when bins need emptying, reducing overflow and improving sanitation. Real-time monitoring of waste levels is provided through a web application, allowing waste collection to be optimized. The smart bins are a proposed solution for efficient waste handling in urban and "smart cities".
This paper has been related to do The Internet of Things IoT shall be able to incorporate transparently and seamlessly a large number of different and heterogeneous end systems, while providing open access to selected subsets of data for the development of a plethora of digital services. Building a general architecture for the IoT is hence a very complex task, mainly because of the extremely large variety of devices, link layer technologies, and services that may be involved in such a system. One of the main concerns with our environment has been solid waste management which in addition to disturbing the balance of the environment also has adverse effects on the health of the society. The detection, monitoring and management of wastes is one of the primary problems of the present era. The traditional way of manually monitoring the wastes in waste bins is a complex, cumbersome process and utilizes more human effort, time and cost which is not compatible with the present day technologies in any way. This an advanced method in which waste management is automated. Prof. S. N. Satbhai | Prof. P. R. Gavhane | Prof. M. R. Dhavale "IoT Based Garbage Monitoring System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3 , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49561.pdf Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/49561/iot-based-garbage-monitoring-system/prof-s-n-satbhai
This document summarizes a research paper that proposes a smart waste monitoring system using IoT. The system uses ultrasonic sensors and force sensors to measure waste levels and weight in garbage bins. When a bin is full, it sends a notification with the bin's GPS location to the relevant waste collection authority via GPRS to the Amazon cloud server. This allows for efficient collection of full bins to maintain a clean environment. The system aims to address current issues with waste management by automating monitoring and routing of collection vehicles.
IOT BASED TOOL GARBAGE MONITORING SYSTEMIRJET Journal
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This document proposes an IOT-based tool garbage monitoring system. It uses ultrasonic sensors, an Arduino microcontroller, WiFi module and GPS to monitor waste bins and send alerts when bins are full. The system measures garbage levels in bins and sends the data via WiFi to a web page. When a bin reaches capacity, it activates a buzzer and sends a notification to authorities for collection. This automatic monitoring system aims to improve waste management efficiency and keep cities cleaner.
IRJET- Smart Dustbin using GPS TrackingIRJET Journal
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This document describes a smart dustbin system that uses IoT technologies like GPS tracking and ultrasonic sensors. The system aims to more efficiently manage waste collection. It includes smart dustbins connected to a real-time monitoring system. Ultrasonic sensors in the dustbins measure waste levels and send this data via NodeMCU microcontrollers and GPS modules to the cloud for analysis. When a bin reaches capacity, an alert is sent to waste collectors with the bin's location from the GPS data. This allows for automated, on-demand waste collection to keep areas cleaner. The system is intended to reduce costs, waste, and human effort compared to traditional waste management methods.
IRJET - Effective Garbage Management System based on IoTIRJET Journal
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1. This document proposes an effective garbage management system based on IoT technologies like Arduino, ultrasonic sensors, GSM, Wi-Fi modules. The system would monitor garbage bins and track bin levels and locations to efficiently manage garbage collection.
2. When bin levels reach a threshold, the system would notify authorities via centralized website or SMS to dispatch collectors. Bin data would be stored on the cloud for analysis of garbage trends.
3. The system aims to automate waste management for improved cleanliness, health and transparency compared to manual monitoring. It could help optimize collection resources and predict planning needs.
The document summarizes a student project proposal for a "Smart Waste Management System". Key points:
- The project aims to develop an IoT-based system using sensors to monitor waste bin levels in real-time and optimize garbage collection routes.
- Sensors will detect waste levels and segregation to increase efficiency. Notifications will inform drivers which bins are full.
- This addresses issues like overflowing bins, uninformed routes wasting time/resources.
- The proposal outlines the existing system, problem statement, proposed solution, scope, architectural design, implementation tools, project plan and references.
Smart dust consists of tiny wireless sensor nodes called "motes" that contain sensors, computing circuits, communication technology, and a power supply integrated on a dust-sized device. These motes form networks to transmit sensor data like temperature, humidity, light, and vibrations back to a central computer. Each mote has an ambient sensor, wireless transmitter, CPU, and power source. Researchers are working to miniaturize components using MEMS and integrated circuit technology to create smarter and smaller smart dust networks for applications in defense, healthcare, environment monitoring, and more. Challenges include reducing size, weight, and power consumption of the motes.
A brief Introduction
What is solid waste? How many cats it has and what is the current situation of Karachi city
How we manage it
possible solutions
New method to approach the solution.
Designing Low-Latency Systems with Rust and ScyllaDB: An Architectural Deep DiveScyllaDB
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Want to learn practical tips for designing systems that can scale efficiently without compromising speed?
Join us for a workshop where weโll address these challenges head-on and explore how to architect low-latency systems using Rust. During this free interactive workshop oriented for developers, engineers, and architects, weโll cover how Rustโs unique language features and the Tokio async runtime enable high-performance application development.
As you explore key principles of designing low-latency systems with Rust, you will learn how to:
- Create and compile a real-world app with Rust
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- Negotiate tradeoffs related to data modeling and querying
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At InData Labs, we have been keeping an ear to the ground, looking out for AI-enabled digital transformation trends coming our way in 2025. Our report will provide a look into the technology landscape of the future, including:
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-Strategies for AI Adoption in 2025
-Anticipated drivers of AI adoption and transformative technologies
-Benefits of AI and Big data for your business
-Tips on how to prepare your business for innovation
-AI and data privacy: Strategies for securing data privacy in AI models, etc.
Download your free copy nowand implement the key findings to improve your business.
Complete Guide to Advanced Logistics Management Software in Riyadh.pdfSoftware Company
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Explore the benefits and features of advanced logistics management software for businesses in Riyadh. This guide delves into the latest technologies, from real-time tracking and route optimization to warehouse management and inventory control, helping businesses streamline their logistics operations and reduce costs. Learn how implementing the right software solution can enhance efficiency, improve customer satisfaction, and provide a competitive edge in the growing logistics sector of Riyadh.
Dev Dives: Automate and orchestrate your processes with UiPath MaestroUiPathCommunity
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This session is designed to equip developers with the skills needed to build mission-critical, end-to-end processes that seamlessly orchestrate agents, people, and robots.
๐ Here's what you can expect:
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๐จโ๐ซ Speaker:
Andrei Vintila, Principal Product Manager @UiPath
This session streamed live on April 29, 2025, 16:00 CET.
Check out all our upcoming Dev Dives sessions at https://community.uipath.com/dev-dives-automation-developer-2025/.
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Procurement Insights integrated Historic Procurement Industry Archives, serves as a powerful complement โ not a competitor โ to other procurement industry firms. It fills critical gaps in depth, agility, and contextual insight that most traditional analyst and association models overlook.
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EmizenTech is a globally recognized software development company, proudly serving businesses since 2013. With over 11+ years of industry experience and a team of 200+ skilled professionals, we have successfully delivered 1200+ projects across various sectors. As a leading Mobile App Development Company In Saudi Arabia we offer end-to-end solutions for iOS, Android, and cross-platform applications. Our apps are known for their user-friendly interfaces, scalability, high performance, and strong security features. We tailor each mobile application to meet the unique needs of different industries, ensuring a seamless user experience. EmizenTech is committed to turning your vision into a powerful digital product that drives growth, innovation, and long-term success in the competitive mobile landscape of Saudi Arabia.
TrsLabs - Fintech Product & Business ConsultingTrs Labs
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AI Changes Everything โ Talk at Cardiff Metropolitan University, 29th April 2...Alan Dix
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Talk at the final event of Data Fusion Dynamics: A Collaborative UK-Saudi Initiative in Cybersecurity and Artificial Intelligence funded by the British Council UK-Saudi Challenge Fund 2024, Cardiff Metropolitan University, 29th April 2025
https://alandix.com/academic/talks/CMet2025-AI-Changes-Everything/
Is AI just another technology, or does it fundamentally change the way we live and think?
Every technology has a direct impact with micro-ethical consequences, some good, some bad. However more profound are the ways in which some technologies reshape the very fabric of society with macro-ethical impacts. The invention of the stirrup revolutionised mounted combat, but as a side effect gave rise to the feudal system, which still shapes politics today. The internal combustion engine offers personal freedom and creates pollution, but has also transformed the nature of urban planning and international trade. When we look at AI the micro-ethical issues, such as bias, are most obvious, but the macro-ethical challenges may be greater.
At a micro-ethical level AI has the potential to deepen social, ethnic and gender bias, issues I have warned about since the early 1990s! It is also being used increasingly on the battlefield. However, it also offers amazing opportunities in health and educations, as the recent Nobel prizes for the developers of AlphaFold illustrate. More radically, the need to encode ethics acts as a mirror to surface essential ethical problems and conflicts.
At the macro-ethical level, by the early 2000s digital technology had already begun to undermine sovereignty (e.g. gambling), market economics (through network effects and emergent monopolies), and the very meaning of money. Modern AI is the child of big data, big computation and ultimately big business, intensifying the inherent tendency of digital technology to concentrate power. AI is already unravelling the fundamentals of the social, political and economic world around us, but this is a world that needs radical reimagining to overcome the global environmental and human challenges that confront us. Our challenge is whether to let the threads fall as they may, or to use them to weave a better future.
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๐๐จ ๐ผ๐ ๐๐ช๐จ๐ฉ ๐๐ฎ๐ฅ๐? ๐๐ง ๐๐จ ๐๐ฉ ๐ฉ๐๐ ๐๐๐ข๐ ๐๐๐๐ฃ๐๐๐ง ๐ฎ๐ค๐ช๐ง ๐๐ช๐จ๐๐ฃ๐๐จ๐จ ๐ฃ๐๐๐๐จ?
Everyoneโs talking about AI but is anyone really using it to create real value?
Most companies want to leverage AI. Few know ๐ต๐ผ๐.
โ What exactly should you ask to find real AI opportunities?
โ Which AI techniques actually fit your business?
โ Is your data even ready for AI?
If youโre not sure, youโre not alone. This is a condensed version of the slides I presented at a Linkedin webinar for Tecnovy on 28.04.2025.
Quantum Computing Quick Research Guide by Arthur MorganArthur Morgan
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This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
Semantic Cultivators : The Critical Future Role to Enable AIartmondano
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By 2026, AI agents will consume 10x more enterprise data than humans, but with none of the contextual understanding that prevents catastrophic misinterpretations.
Noah Loul Shares 5 Steps to Implement AI Agents for Maximum Business Efficien...Noah Loul
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Artificial intelligence is changing how businesses operate. Companies are using AI agents to automate tasks, reduce time spent on repetitive work, and focus more on high-value activities. Noah Loul, an AI strategist and entrepreneur, has helped dozens of companies streamline their operations using smart automation. He believes AI agents aren't just toolsโthey're workers that take on repeatable tasks so your human team can focus on what matters. If you want to reduce time waste and increase output, AI agents are the next move.
Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan
ย
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
2. Overview
The garbage monitoring system is consisted to two
sections
โข Section to monitor garbage
โข Section to inform concerned authority about the
garbage level.
Instead of using plenty of bins in an unordered
fashion around the city, minimal smart bins can
be used.
3. Concept
โข Level of garbage bin is measured using
ultrasonic sensor.
โข Corresponding information to the bin level is
send to the
a) web server using ESP8266 Wi-Fi module.
b) android app using Bluetooth module
โข The information can be accessed anywhere over
the internet.
โข After knowing the garbage level status the
concerned authority can take the desired action.
6. Literature review
The concept of smart bins is not new, it has been in talks for
much of the time .In fact it is already being implemented is
some parts of the world. Various authors have published their
papers regarding smart bins. Some of these are as follows
โข Narayan Sharma, Nirman Singha, Tanmoy Dutta, โSmart Bin
Implementation for Smart Citiesโ, International Journal of
Scientific & Engineering Research, Volume 6, Issue 9,
September-2015
In this they have equipped the smart bins with ultrasonic
sensors which measure the level of dustbin being filled up.
The container is divided into three levels(h/3, 2h/3, h) of
garbage being collected in it. Every time the garbage crosses a
level the sensors receives the data of the filled level. This data
is further sent to the garbage analyzer as instant message
using GSM module.
7. Literature review(cont.)
โข Prof. R.M.Sahu, Akshay Godase, Pramod Shinde, Reshma
Shinde, โGarbage and Street Light Monitoring System Using
Internet of Thingsโ, International journal of innovative
research in electrical, electronics, instrumentation and control
engineering Vol. 4, Issue 4, April 2016
In this they have build built a framework in which a Camera will
be set at each garbage collection point alongside load cell
sensor at base of the trash can. The camera will take
continuous snapshots of the garbage can. A threshold level is
set which compares the output of camera and load sensor.
The comparison is done with help of microcontroller. After
analyzing the image and the load cell sensor an idea about
level and weight of garbage can be known. Accordingly
information is processed i.e controller checks if the threshold
level is exceeded or not.
This method is expensive and practically not feasible.
8. Feasibility
The feasibility of this project depends upon the
โข Durability
โข Affordability
โข Prevention against damage
โข Maintenance issues
Of these smart dustbins.
Since the technology is new in India, proper
awareness should be created among the public
before it is implemented on a large scale. Otherwise,
sensitive devices like sensors might be damaged due
to rough action of the users.
9. Practical uses
โข Accurate estimate of garbage can be done with
increasing no. to ultrasonic sensor to measure
height and width of garbage. Then this concept
can be applied to big garbage bin that municipal
cooperation puts in an area. thereafter MC will
know when to collect garbage hence requirement
of manpower will be reduced.
โข At small level, the concept can be applied to
house dustbins so that person collecting the
garbage from houses get informed.
10. Future work
โข With the proper usage of IOT principles integration
of many bins each with a unique ID can be done.
โข And a database for each bin can be maintained by
using SQL technology.
โข Using methane and smell sensors, differentiation
can be made between dry trash bin and wet trash
bin collecting plastic dry waste and biodegradable
waste respectively.
โข an automated system can be developed which is able
to pick up waste in and around the bin, segregate
them and put them in respective bins.