TECHNOLOGY
EYEvNEXT is implemented with a modular,
scalable architecture, so that:
• new sensors/functions can be added without “radical” changes.
• scaling from pilot to full deployment is supported.
• scaling from pilot to full deployment is supported.
Edge + Cloud Operation
Local data aggregation on an edge
device (e.g., LTE/LoRa), with the ability
for preliminary analysis.
Secure transmission to a cloud platform.
Dashboards, historical data, charts
and alerts per infrastructure/building/location.
Interoperability
EYEvNEXT is designed
for integration with:
Civil Protection systems,
Fleet GPS data,
SCADA/telemetry backends,
Drone Intelligence, and it operates as a
“digital backbone” of operational workflows.
Implementation: from Pilot to Scaling
1
Pilot Deployment
• selection of critical points/buildings,
• installation, configuration, alert rules,
• trial operation period and fine-tuning.
• installation, configuration, alert rules,
• trial operation period and fine-tuning.
• dashboards per role,
• reports, KPIs, response procedures,
• user training and knowledge transfer.
• reports, KPIs, response procedures,
• user training and knowledge transfer.
2
Operational Deployment
3
Scaling
• expansion to more sites/infrastructure,
• integration with additional backends,
• addition of AI/ML scenarios and automations.
• integration with additional backends,
• addition of AI/ML scenarios and automations.
The solution can operate in a Plug-and-Operate model
with minimal adaptation requirements to the organization’s internal network
(depending on the scenario and the organization’s policies).
Interoperable Integration
of Heterogeneous Systems
Most organizations operate with:
• separate SCADA systems
• different telemetry backends
• isolated IoT pilots
• fleet GPS without operational integration
• standalone dashboards
EYEvNEXT operates as a
horizontal integration layer
(interoperability layer) that:
• aggregates data from multiple technologies,
• transforms it into a common operational language,
• provides a unified real-time view.
• transforms it into a common operational language,
• provides a unified real-time view.