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 Smart Dustbin with Fill Level Detection

Smart Dustbin with Fill Level Detection

The Smart Dustbin with Fill Level Detection is an IoT-based project that monitors the garbage level inside a dustbin using sensors. When the dustbin reaches a predefined fill level, it automatically sends notifications to the concerned authority, helping ensure timely waste collection. This system improves cleanliness, reduces overflow issues, and supports smart city waste management solutions.

4999 ₹

7000 ₹
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Has discount
Expiry period 4 Months
Made in English
Last updated at Sun Jun 2026
Level
Beginner
Total lectures 0
Total quizzes 0
Total duration 0 Hours
Total enrolment 0
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Short description The Smart Dustbin with Fill Level Detection is an IoT-based project that monitors the garbage level inside a dustbin using sensors. When the dustbin reaches a predefined fill level, it automatically sends notifications to the concerned authority, helping ensure timely waste collection. This system improves cleanliness, reduces overflow issues, and supports smart city waste management solutions.
Outcomes
  • Understand the fundamentals of IoT-based waste management systems.
  • Design and develop a Smart Dustbin with real-time fill level monitoring.
  • Interface ultrasonic sensors with Arduino, ESP8266, or ESP32 boards.
  • Program microcontrollers to collect and process sensor data.
  • Configure IoT platforms for remote monitoring and data visualization.
  • Send automatic alerts and notifications when the dustbin reaches a specified fill level.
  • Analyze waste level data for efficient garbage collection planning.
  • Implement cloud-based monitoring solutions for smart city applications.
  • Troubleshoot hardware and software issues in IoT projects.
  • Build a complete industry-relevant smart waste management project for academic and professional portfolios.
Requirements
  • Basic knowledge of electronics and programming (helpful but not mandatory)
  • Computer or laptop with internet connection
  • Arduino IDE or compatible programming software
  • ESP32, ESP8266, or Arduino development board
  • Ultrasonic sensor (HC-SR04 or equivalent)
  • Jumper wires and breadboard
  • Power supply or battery
  • Wi-Fi connection for IoT monitoring
  • Basic understanding of IoT concepts (optional)
  • Enthusiasm to learn and build smart automation projects