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Snap4Waste: optimal management of waste collection via Artificial Intelligence

Snap4Waste aims to optimize waste collection and management in urban environments using AI and IoT solutions. It collects data from bins (status, temperature, and a number of alarms, etc.), and/or from trucks (weights collected, when possible) according to differentiated waste collection. Snap4Waste offers operational efficiency, cost savings, and environmental benefits, recovering the initial investment with a scalable and flexible solution that may adapt to the service needs. Snap4Waste is modular and allows to start small and scale up as needed reducing initial investments. The platform is designed to be interoperable, allowing for seamless integration with existing waste management systems and other city services, and a range of different waste bin sensors and lockers. This approach eases the adoption of smart technologies and enhances their effectiveness through comprehensive data analysis. Snap4Waste supports a range of sensors, devices, and functionalities, making it easier to adapt to changing needs, also reaching the policies as Pay As You Throw, PAYT, provided that the bins are controlled with fobs, NFC, RFID, etc.

Snap4Waste may provide information about bins on mobile Apps, and also permissions on using bins via fobs for commercial operators which have special need in providing a large amount of waste (such as restaurants, fast food, bars, and shopping centers). AI on the solution identifies the bins that risk to become full in advance (using predictive technologies based on AI, Deep Learning).  

Snap4Waste provides a Mobile App for waste collection trucks to exploiting the routing on the basis of the optimal routing service provided, daily or planned according to different strategies. On the basis of the plan, and the effective waste collection, reports and dashboards are provided including statistic, real time monitoring and forecast. The actual trends are monitored including alarms of eventual critical conditions notified from the citizens.

Snap4Waste detects from sensors: fire, up-side-down, hurts, too filled, run out of battery, errors, movements, etc. (on the basis of the sensors positioned to the bin). The map view shows the different kinds of smart waste bins (generic, plastic, paper, glass, metal, organic, in any combination if any) with their status (Full, Half-full, Empty, and/or % proportionally depicted on the graphic representation). All the results and parameters are view/set from the views/dashboards of the graphic interface which can be provided with different customized user interfaces and styles.

A table view allows to go more in deep in the status of each single bin and to see the following details: waste kind, sensor kind, etc.; address, position; percentage of fullness (the cell is coloured according to defined thresholds, analogical display); temperature (the cell is coloured according to defined thresholds); capacity of the bin; status; date and time of the measure, etc. Transformation from volume to actual weight is also computed on the basis of AI solutions.

Snap4Waste can be endowed by an AI-based optimizer which takes into account: the position of the depots; the capabilities of the trucks and their number; the capability of the bins, instrumentation, usage /

kind, position, time of upload, etc.; the possibility of providing access to the bins via fobs; the actual routing time on the city map; etc.

Integrating SnapAdvisor Agentic AI into the Snap4City Smart Waste Management system can transform it from a monitoring platform into an intelligent decision-support and operational assistant. By combining real-time data from waste bins, vehicles, alarms and KPIs with municipal procedures and historical information, SnapAdvisor can help operators identify critical situations, explain anomalies, predict operational needs, recommend actions such as collection priorities or route adjustments, and potentially activate authorized workflows through Snap4City services and APIs. This enables a more proactive, conversational and automated approach to waste management while keeping decisions grounded in the city's data and knowledge base.

  • Main
    • Dynamic route optimization, reduce kilometres, fuel, working hours and unnecessary collections
    • Smart-bin fill-level monitoring, which bins actually need collection and prevent overflow
    • Real-time GIS / control-room dashboard, See bins, trucks, routes, incidents and KPIs on one map
    • Any kind of waste, any kind of bins, any kind of optimisation policy
  • waste collection optimisation and assessment tool
    • flexible routing optimisation on the basis of multiple criteria by area, by fleet:
    • dynamic route optimizer: daily optimisation on the basis of fill rate and critical conditions (AI predicted),
    • schedule planning, fixed routing, by area
    • on demand collection, etc.
  • AI and Automation
    • Avoiding overloading with AI fill level prediction
    • Predictive maintenance using AI
    • What if analysis: changing thresholds, changing number of bins, changing strategy for waste collection and/or parameters, changing position of depot, etc.
  • Waste Collection in Operation
    • multiple truck fleets for collection kind and waste kinds
    • Fleet GPS + collection verification, to know whether, when and where a container was actually serviced, truck sensor data and monitoring
    • Truck Driver/operator mobile app, navigation, jobs, photos, issue reporting and proof of service
  • City engagement and authorisation
    • Citizen mobile app / portal, reports illegal dumping, request bulky-waste pickup, check schedules
    • Integrated city user engagement for critical condition reporting
    • Container/asset management, FOBS and RFID/QR identification, location, maintenance history and inventory, integrated with city permissions
    • Waste weighing / PAYT          Measure quantities and support Pay-As-You-Throw or Pay-As-You-Sort, according to the sensor kinds, by volume, by weight
    • Estimation of city users rewards in PAYT regime
  • Dashboard operators:
    • Monitoring waste bins of any kinds, their status and alarms
    • Monitoring collecting operations in real time
    • Analytics & KPI reporting, Cost/tonne, overflow rate, recycling %, CO₂, route efficiency, SLA performance
    • Production of reports
  • Flexibility
    • Multi-tenant digital twin solution for multiple cities and multiple applications managements on the same platform
    • sensors agnostic, sensors monitoring and replacement
    • OTA firmware/configuration updates
  • Interoperability
    • Available as a vertical on a flexible horizontal platform supporting several tens of applications, cheap and scalable on tenant, scalable on adding vertical
    • Open APIs / smart-city integration, Connect ERP, billing, GIS, IoT platforms, municipal CRM and other city systems
    • Sensors via LoraWan, NBIoT, MQTT, NGSI, HTTPS, AMQP, rest API call, etc.
    • Integration with any network servers, API, etc.
    • Integration with any legacy solutions in place
    • Compatibility with any kind of standard and also with OSM, GIS, GTFS, API, etc.
  • Security
    • Cybersecurity + role-based access
    • OAuth, Active Directory, Cy-Login, EC-Login, EIC, etc.
    • GDPR compliance
  • Deploy
    • Gateways on the fields or provided by third parties
    • As a Service and as well as on premise
  • General:
    • Unified multimodal operational control center
    • Available as a vertical on a flexible horizontal platform
    • Open architecture and open-source horizontal platform supporting several tens of applications, cheap and scalable on tenant, scalable on adding vertical
      • Snap4Parking, Snap4Light, Snap4Waste, Snap4Mobility, Snap4Environment, Snap4Assets, Snap4GIS, Snap4Tourism, Snap4Building
      • Solutions: https://www.snap4city.org/4
  • References:
    • Snap4Waste Cyprus
  • Number of cities: 7
  • Number of bins: 2000

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