IRIS

IRIS is the first Digital Intelligent Assistant for Emergency Services. It integrates incident related data from different sources, both static (standard operational guidelines, emergency plans, maps, emergency risks and plans, historical data) and dynamic (drones, cameras, GPS, IoT sensors). It processes and analyses the data to deliver specific insights to commanders, and enables fluid interaction amongst incident response team members, through a simple-to use interface, available on different platforms (tablets, laptops, computers).


IRIS ICS

Incident Command System.

IRIS ICS is the core that integrates both static and dynamic data. Designed side by side between Incident Commanders and our design and development team, IRIS ICS displays the most relevant information in the most appropriate way. IRIS was created based Incident Command System and SITAC, translating the logic of these command methods to an intelligent digital tool.
Data is accessible from on single point, enabling any team member to access accurate and updated information.
All the data managed by IRIS is securely stored for any post incident actions like debriefs, trainings, auditings, and more.

Tactical Situation.

  - GPS real-time tracking of assets (Team members, Drones, Vehicles).
  - Incident Management tool (Sectors, hierarchy, Decision Logs, Points of Interest etc.).
  - Geotagged Pre-planned information (Imported Databases, Building emergency plans).
  - Video streaming (Drones, CCTV, Dash Cameras,Optical & Thermal video,Body & helmet cameras…).

Artificial Intelligence Modules


We are constantly developing new modules to complement IRIS ICS based on AI and machine learning algorithms.
To learn more about specific modules being developed don't hesitate in reaching us.
You will also have the chance of trying them out by joining our Pilot Program.





Computer Vision
Automatically detects elements in video streams (people, vehicles, risks etc.). Computer Vision algorithms can find faster and more accurately elements that would take hours for a full human team.
Machine Learning Algorithms
Enabling IRIS to be aware of what is happening at the incident to deliver customized insights and advice to commanders. Transforming IRIS into a new member of commander assistance teams.
IoT Hazmat Module
Connecting different sensors (like hazmats, vital signs, wearables etc.) to enrich IRIS awareness and the insights it can deliver to commanders.
Predictive Models
Integrating Nowcasting & Forecasting models to predict how incidents will unfold. E.g. Hazmat spread, flood impact or wildfires.