DEVELOPMENT OF AN AI-BASED INTELLIGENT WASTE DETECTION, CLASSIFICATION, AND AUTOMATIC SORTING SYSTEM FOR SUSTAINABLE WASTE MANAGEMENT

Abstract

The rapid growth of urbanization, industrial production, and consumption has significantly increased the volume and complexity of municipal and industrial solid waste. Conventional waste sorting methods are often labor-intensive, time-consuming, and susceptible to human error, thereby limiting the efficiency of recycling processes. This study proposes an artificial intelligence (AI)-based intelligent system for real-time waste detection, classification, and automatic sorting to support sustainable waste management. The proposed framework integrates computer vision, deep learning, object detection, sensor technologies, and automated control mechanisms.