NANDO’s Waste City Map Transforms Urban Waste Collection
AI in urban waste management is transforming how cities collect and analyze what gets thrown away. After months of hard work, research, and collaboration with an extraordinary team, “NANDO’s Waste City Map Transforms Ubran Waste Collection” is no longer just a headline—it’s a real, working project.
NANDO has developed a solution that promises to radically change the industry: a sentinel truck, equipped with a camera and artificial intelligence, will track waste disposal behaviors in real time across different neighborhoods.
It’s a simple, scalable, and effective technology that marks a turning point in urban waste management—and brings cities closer to a more sustainable future.
How AI for Waste Management Works with the Waste City Map
Traditionally, cities monitored urban waste flows by installing a sensor on every bin—a costly, rigid, and hard-to-scale system. NANDO AI’s technology completely overturns this paradigm: instead of distributed sensors, a single truck equipped with a camera and an onboard algorithm does all the work.
This is how the concept of mobile tracking was born—an approach that combines efficiency and sustainability, cutting costs and opening new possibilities for cities eager to innovate.
An Algorithm, a Camera, a Map: The City Becomes Smart
The project is as simple as it is powerful. Each truck is equipped with a camera that, during its regular route, captures footage of bins being opened and emptied. Thanks to artificial intelligence, the waste materials are automatically identified—plastic, glass, paper, organics, general waste.
The algorithm analyzes both the quality and volume of the waste, geolocates the data, and sends it to the cloud. Within seconds, each bin becomes a point on the Waste City Map—a real-time digital map that shows what, how much, and how waste is being disposed of in each neighborhood.
Smarter Waste Management Thanks to the Waste City Map
One of the most innovative aspects of this technology is that it doesn’t require physical sensors to be installed in the bins. This eliminates maintenance costs, logistical challenges, and the need to intervene in urban infrastructure. A single camera can monitor up to 500 bins per route.
In essence, a smart city can begin with just one vehicle.
This solution is a concrete example of AI for environmental sustainability. With smart solutions, we gain a detailed and continuously updated view of citizens’ waste disposal behaviors.
The benefits are immediately evident. With the Waste City Map, waste service managers can:
-
Identify where more (or fewer) collections are needed
-
Optimize routes, saving time, fuel, and resources
-
Take targeted action where recycling is low or incorrect
It’s a step forward in smart urban waste management, fully aligned with the goals of the circular economy and smart cities.
Environmental Education and AI: Acting Through Data
The Waste City Map is not just an operational tool; in fact, it’s also a powerful driver for education. Thanks to its precision, cities can pinpoint areas with low-quality waste separation and, subsequently, launch targeted awareness campaigns.
Furthermore, data enables highly focused interventions, significantly reducing the waste of both time and resources. As a result, cities can take action door-to-door through events, local initiatives, or simple communications. Ultimately, data-driven environmental policies become not only actionable but also concrete.
A Scalable and Sustainable Solution
Compared to other data collection systems, this model is more cost-effective, easier to implement, and more sustainable. It doesn’t require thousands of sensors or invasive modifications to urban infrastructure.
Cities can start with a single sentinel truck and gradually expand coverage. A scalable, replicable solution suitable for diverse contexts—perfect for municipalities seeking to innovate intelligently.
A Real-World Example: The First Pilot Project
We have successfully tested the Waste City Map. The first pilot project, developed in collaboration with Del Prete Achille Sangiovanni and Gruppo MAZZOCCHIA Antonio Nanni, demonstrated that a standard waste collection route can be transformed into a continuous data stream.
The goal now is to scale the system to other Italian cities. Smart trucks will become an integral part of an urban ecosystem that listens to its waste and responds in real time.
In the field of AI for waste management, the Waste City Map undoubtedly marks a turning point. Indeed, we now have a tool that seamlessly combines machine learning, circular economy principles, and urban optimization into a single solution—therefore, a technology that truly speaks the language of data and modern cities.
Visit our LinkedIn Page to stay updated: linkedin.com/company/re-learn
Or Book a Free Demo with us: Contact us
