ZERO-FEST

ZERO-FEST

ZERO-FEST deploys 5G-enabled, AI-augmented smart recycling bins at rural/remote cultural festivals that generate large volumes of mixed waste in a few days, where connectivity is often poor and crowd density can overload Wi-Fi/LPWAN approaches. Building on Cyclefi’s existing smart recycling platform (IoT weigh-scale + embedded electronics + sensors + cloud dashboard), ZERO-FEST upgrades the system with 5G NR modules to keep telemetry reliable even in congested festival conditions.

Each bin includes a low-power camera and an on-device lightweight AI model that classifies waste locally to minimize compute and bandwidth. When confidence is low, the system can escalate to a higher-accuracy model on an edge server, depending on predicted network conditions. Operationally, the solution streams fill levels and classification results to a real-time dashboard (overflow/contamination monitoring, collection prioritization).

The ENVELOPE platform enables this via Device Location and Predictive QoS, validated on ENVELOPE’s Greek standalone 5G trial site.

Functionality:
Multi-Access Edge Computing (MEC)
Predictive QoS, Device Location


Maturity:

Location(s):
Greece

Vertical sector(s):
Waste management


replicable use case

This use case is replicable

Degree of replicability1:
61
1According to the Replicability Assessment Tool

High level of replicability : 61 < LR < 80

Good level of replicability: 31 < LR < 60

Low level of replicability: 00 < LR < 30


Additional Information:
  • Technical Solution (i.e. development, integration,…): 5G smart bins (weight+camera+controller) use on-device AI to classify waste. When confidence is low, images are sent to an edge server if network QoS allows (ENVELOPE Predictive QoS/Location)
  • Legal Aspects (any Specific regulation): GDPR, EU AI Act
  • Solution Implementation Hardware: Smart weighing scale retrofit kit, embedded controller/edge board, low-power camera for AI classification, 5G NR model and SIM/eSIM, power supply, edge compute for heavy inference
  • Linked Products (components/parts): Weighing scale kit; embedded firmware + local AI; camera module; 5G NR modem/SIM; edge AI service (server/VM); cloud dashboard; ENVELOPE QoS/Location adapters; web app

Project Open Call 3rd-party funding

ZERO-FEST


Duration:

GA Number: 101139048

SNS JU Call (Stream):
Call 2
Stream D

This tool has received funding from the European Union’s Horizon Europe Research and Innovation programme under the SNS ICE project (Grant Agreement No 101095841)