META BIN
Arduino-based smart trash collection device that autonomously follows people, detects trash, and monitors fill levels with ultrasonic sensors, motor control, and IoT connectivity for automated waste management.
Arduino-based smart trash collection device that autonomously follows people, detects trash, and monitors fill levels with ultrasonic sensors, motor control, and IoT connectivity for automated waste management.
META BIN is an innovative IoT device designed to revolutionize waste management through automation and intelligent sensing. The device addresses the growing need for efficient waste collection in public spaces by autonomously detecting and collecting trash without human intervention.
Built on the Arduino platform, META BIN combines multiple sensors and actuators to create a self-sufficient waste collection system. The device can navigate spaces, identify trash items, and collect them while monitoring its own operational status and communicating with central management systems.
Advanced person-following algorithm using ultrasonic sensors and motor control to autonomously track and follow people in public spaces for convenient trash collection.
Intelligent trash detection system using proximity sensors and object recognition algorithms to identify and locate trash items in the environment.
Real-time monitoring of trash bin fill levels using ultrasonic distance sensors, providing data for optimized collection scheduling and capacity management.
Wireless connectivity for remote monitoring, data collection, and system control through IoT platforms enabling smart city integration.
META BIN is built around the Arduino microcontroller platform, providing a reliable and programmable foundation for the device's operations. The system integrates multiple ultrasonic sensors for distance measurement and object detection, enabling precise navigation and trash identification.
The motor control system uses DC motors with encoder feedback for accurate movement and navigation. Power management ensures optimal battery life through efficient component selection and power-saving modes. The device chassis is designed for durability and functionality in public environments.
The core of META BIN's functionality lies in its sophisticated algorithms for person tracking and trash detection. The person-following algorithm uses sensor fusion techniques to maintain optimal following distance while avoiding obstacles.
The trash detection algorithm combines proximity sensing with pattern recognition to distinguish trash items from environmental objects. The system includes decision-making algorithms for collection priority and navigation planning, ensuring efficient operation in complex environments.
META BIN was published in the MJSAT (Multidisciplinary Journal of Science and Technology) 2021, recognizing its innovation in IoT and waste management. The publication details the technical implementation, experimental results, and potential applications in smart city environments.
The research demonstrates the feasibility of autonomous waste collection systems and their potential impact on urban cleanliness and environmental sustainability. The publication has contributed to academic discourse on IoT applications in public service domains.
META BIN addresses critical environmental challenges by automating waste collection and reducing the need for human intervention in potentially unsanitary tasks. The system contributes to cleaner public spaces and more efficient waste management practices.
By enabling real-time monitoring and data collection, META BIN helps municipalities optimize waste collection routes and schedules, reducing fuel consumption and environmental impact. The device represents a step toward smarter, more sustainable urban environments.
