AI BASED TRASH COLLECTION AND SEGREGATION ROBOT

Authors

  • Dr. P. G. Vispute Department of Electronic and Telecommunications, Shatabdi Institute of Engineering and Research Center, Agaskhind, Sinnar
  • Wajid Ashpak Pathan Department of Electronic and Telecommunications, Shatabdi Institute of Engineering and Research Center, Agaskhind, Sinnar
  • Dhanshree Rajendra Nimse Department of Electronic and Telecommunications, Shatabdi Institute of Engineering and Research Center, Agaskhind, Sinnar
  • Urmila Kashinath Dhande Department of Electronic and Telecommunications, Shatabdi Institute of Engineering and Research Center, Agaskhind, Sinnar
  • Snehal Dipak Rawal Department of Electronic and Telecommunications, Shatabdi Institute of Engineering and Research Center, Agaskhind, Sinnar

Keywords:

Environmental sustainability, garbage collection, waste segregation, AI robots, and IoT integration.

Abstract

Using robotics and Internet of Things technology, the AI-based Trash Collection and Segregation Robot is a creative solution created to handle the expanding problem of trash management in public areas.  Using sophisticated robotic arms and built-in metal proximity sensors, this self-governing robot effectively gathers and separates waste into metallic and non-metallic categories.  Both manual and autonomous modes of operation are available, and the robot may be remotely monitored with live video streaming via an IP webcam and the Blynk app on a smartphone.  While the robot uses ultrasonic sensors for navigation, path planning, trash recognition, and obstacle avoidance in autonomous mode, users can control the robot's movement and trash collecting in manual mode from any location via the internet.  A robotic arm with metal detectors collects rubbish and separates it into appropriate containers, and a coverage route planning algorithm makes sure the workspace is thoroughly cleaned.  To improve operating efficiency, the IoT interface alerts operators when the garbage can fills up.  The system's precise operation is ensured by its smooth integration with a variety of hardware components, such as servo motors, ultrasonic sensors, and DC motor drivers, thanks to its ESP8266 Wi-Fi module and Arduino Mega 2560 microcontroller.  In addition to lowering human labor costs, improving cleanliness, and encouraging effective waste segregation for environmental sustainability, this sustainable solution is perfect for cleaning streets, shopping centers, bus stops, and other public spaces.

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Published

2025-06-04

How to Cite

[1]
Dr. P. G. Vispute, Wajid Ashpak Pathan, Dhanshree Rajendra Nimse, Urmila Kashinath Dhande, and Snehal Dipak Rawal, “AI BASED TRASH COLLECTION AND SEGREGATION ROBOT”, IEJRD - International Multidisciplinary Journal, vol. 10, no. 1, p. 12, Jun. 2025.

Issue

Vol. 10 No. 1 (2025): Volume 10 Issue 1

Section

Articles

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