DWaste: Greener AI for Waste Sorting Using Mobile and Edge Devices

Key Points

• The aim is to enhance waste sorting efficiency using a computer vision platform powered by AI technologies.
• Developed a mobile and edge device-based application for waste sorting using AI and computer vision.
• Implemented algorithms to identify and classify various types of waste materials.
• Evaluated the efficiency of the sorting process in terms of accuracy and speed.
• Achieved significant improvement in waste sorting accuracy compared to traditional methods.
• Demonstrated real-time processing capabilities on mobile and edge devices, enhancing usability.
• Reduced sorting time, contributing to more sustainable waste management practices.