Keyi Yu¹ and Jonathan Sahagun², ¹USA, ²California State Polytechnic University, USA

Environmental pollution, particularly waste accumulation, is a global challenge requiring innovative solutions. This paper introduces an integrated drone and mobile app system to detect, track, and clean up trash. The program comprises three components: a user-friendly mobile app, AI-powered drones for trash detection and collection, and a centralized database for data storage and tracking [1]. Experiments revealed the system's strengths in waste detection accuracy and operational efficiency, alongside limitations in handling extreme environments and dataset diversity. By building on existing methodologies, the project offers a scalable, adaptable, and proactive approach to waste management. This transformative system has the potential to alleviate environmental degradation, engage communities, and preserve natural ecosystems, making it a compelling solution to a pressing issue.

Trash detection, Volunteer efforts, Drones, Apps.