NANDO is an AI-powered system that optimizes waste collection by analyzing bin fill levels and waste volumes from collection trucks. Using a single onboard camera, it captures images each time a bin is emptied, employing deep learning to track waste quantity and improve routing. Additionally, NANDO recognizes the material type of the waste, identifying contamination levels in different city areas. This enables targeted actions to improve recycling quality. Unlike traditional systems requiring individual sensors for each bin, NANDO collects data from all bins emptied by a single truck, offering a more cost-effective solution. It reduces inefficiencies by 25%, optimizing truck routes and minimizing fuel consumption. The user-friendly dashboard provides real-time insights, driving smarter logistics and cost savings.
I am the founder of NANDO, a startup focused on waste recognition using AI. We provide innovative waste management solutions to waste collection companies and municipalities. Our work aims to improve recycling quality, reduce truck travel distances, and automatically detect abandoned waste to ensure cleaner cities and maintain urban decorum.