keyboard_arrow_up
An Autonomous System to Enhance Urban Cleanliness by Identifying and Collecting Trash using AI and Machine Learning

Authors

Zhuowen Wang1 and Jonathan Sahagun2, 1USA, 2California State Polytechnic University, USA

Abstract

The HawkEyes system, featuring a sophisticated robotic car, is a key innovation in modern waste management. This autonomous vehicle is adeptly equipped with advanced AI and computer vision technology, enabling precise identification and categorization of different waste types. Optimized for city environments, the car navigates autonomously, relying on an AI detection system. Built to withstand a variety of urban conditions, the robotic car is robust and adaptable. Its suite of sensors and cameras are strategically placed, enhancing its ability to detect waste and maneuver effectively in urban areas. As it patrols city streets, the vehicle efficiently identifies locations with accumulated waste, supporting targeted and effective cleanup efforts. In its current iteration, HawkEyes stands as an intelligent and practical solution to urban waste challenges. It fuses technological innovation with real-world application, not only improving the efficiency of waste collection but also contributing to environmental conservation efforts. This robotic car demonstrates the transformative role of AI and robotics in sustainable waste management, showcasing a new frontier in city maintenance and ecological care.

Keywords

Image Recognition, Machine Learning Algorithms, Autonomous, Environmental Sustainability

Full Text  Volume 14, Number 3