RecyclifAI Technologies has developed a computer vision-based and AI-equipped smart sorting solution for plastic recycling units. Powered by machine learning (ML) and deep learning (DL) technology, the solution integrates a 3D area-scan camera to analyze the objects being sorted, combining both hardware and software. Designed for flexibility, the company has allowed clients to seamlessly integrate this system software into their existing waste management processes, thereby extending its application across a broad range of systems. This smart solution has provided consistent sorting performance, enhanced efficiency, and reduced operational expenses for recycling units and materials recovery facilities (MRFs). RecyclifAI Technologies’ solution has harnessed key technologies such as AI, ML, and machine vision to revolutionize the sorting process. The AI algorithms have enabled sorting machines to process up to 160 items per minute with consistent accuracy, vastly outperforming manual labor. Meanwhile, ML has trained the system software to recognize patterns within the sorting process, refining its application library over time to improve its performance. Additionally, the integration of machine vision has accelerated image processing, offering fast and precise identification of waste products, which has improved the overall efficiency and profitability of recycling operations.