Project V : Trashcan Full Detection
In a world increasingly focused on sustainability and efficient waste management, the Trashcan Full Detection project presents an innovative AI-based solution. This application utilizes live camera feeds to determine the fullness of trashcans, enabling timely waste collection and reducing overflow incidents.
By employing a tech stack that includes Python, OpenCV, and Deep Learning, the project aims to optimize waste management processes. The integration of computer vision techniques allows for accurate real-time detection, while deep learning algorithms enhance the application’s ability to analyze visual data effectively.
This initiative not only contributes to smarter waste management practices but also promotes a cleaner and more sustainable environment, demonstrating the potential of AI in addressing urban challenges.
