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Circular Economy2025Turning EPS waste into local circular value.
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Tidy City is an innovative urban management platform that transforms the way municipalities maintain public spaces. Through a coordinated network of city vehicles equipped with cameras and sensors, the system collects real-time imagery and georeferenced data across entire cities. AI models process this information to detect issues early, optimize resource deployment, and improve the sustainability and efficiency of city services. Designed with privacy and compliance at its core, Tidy City provides cities with actionable insights, helping them respond faster, plan smarter, and maintain safer, cleaner public environments.

Cities are expanding rapidly, and with them grows the complexity of maintaining public spaces, infrastructure, and essential services. Traditional inspection methods rely heavily on manual patrols or citizen reporting, which often leaves blind spots across the urban landscape. As populations rise and expectations increase, municipalities must find ways to monitor conditions more efficiently and respond before small issues become costly problems.
Yet many cities lack real-time visibility into their streets, utilities, and public assets. With limited resources and increasing workloads, maintenance teams are often forced to work reactively rather than proactively. Tidy City addresses this challenge by turning everyday municipal vehicles into mobile data collectors, enabling a continuous flow of information about the condition of the city and empowering teams with the insight they need to act sooner.





Cities are constantly changing, and maintaining them requires continuous awareness of their condition. Tidy City turns everyday municipal vehicles into roaming data collectors, creating a real-time visual map of streets, infrastructure, and public spaces. This enables authorities and service providers to detect issues before they escalate.

Tidy City continuously gathers street-level imagery through municipal vehicles equipped with simple camera systems. As these vehicles carry out their normal operations, they capture real-time visual data across the city. This information is automatically georeferenced and analyzed using AI models capable of detecting issues such as damaged signage, overflowing waste bins, deteriorating road surfaces, or obstructed pathways.
The platform transforms raw imagery into actionable insights. City teams can view conditions through an intuitive dashboard, review flagged areas, and schedule maintenance based on accurate, up-to-date information. By shifting from manual inspections to automated, data-driven monitoring, Tidy City enables municipalities to plan ahead, allocate resources more effectively, and maintain cleaner, safer, more efficient public environments.





By combining real-time monitoring with intelligent analysis, Tidy City reduces inspection workloads and accelerates maintenance cycles. Municipalities can act sooner, plan better, and achieve higher service quality while reducing unnecessary expenses.

Reduction in manual inspections
Faster response times
Increase in maintenance efficiency
Improvement in infrastructure visibility
Project Partner, Madeira Waste Recycling

