Deep Learning Based Integrated Removable Smart Waste Sorting Device

In this study, an intelligent waste sorting device based on Inception v3 and migration learning is developed to achieve fast and accurate waste recognition and sorting through deep learning and sensor fusion techniques.The device is designed to be detachable and adaptable to existing bins, with the ability to continuously learn new waste types.Through real-time data transmission, the device supports remote monitoring and management, which effectively improves the efficiency of waste classification and is important for urban environmental protection.