Solutions

Airis PREDICT

Airis PREDICT is a modular solution powered by machine learning algorithms that can be deployed to assets that operate continiously to predict failure by detection of anomalies in real time performance metrics gathered from a network of decentralized IIOT sensors.

Airis PREDICT is a comprehinsive solution that involves:

• Real time data collection from IIOT

• Data Normalization

• Training the Machine Learning Model

• Engineering & Customization

• Data Visualization

• Integration with deicision systems (SCADA/EAM)

#1

Real Time Data Visualization

#2

Historical Views of Asset Performance

#3

Instanat Email & SMS notification in the event of Anomaly detection

#4

Predictiive Analytics integration with Asset Management & SCADA systems

#5

Drill down tools for fault contribution analysis

#6

Anomaly Categorization by severity

#1

Real Time Data Visualization

#2

Historical Views of Asset Performance

#3

Instanat Email & SMS notification in the event of Anomaly detection

#4

Predictiive Analytics integration with Asset Management & SCADA systems

#5

Drill down tools for fault contribution analysis

#6

Anomaly Categorization by severity

Airis TWIN

Airis TWIN is a solution for clients looking to maximize their situational awareness. As operations expend across vast areas, the digital infrastructure available provides the ability to integrate existing information systems to eliminate blind spots.

Airis TWIN provides a common operational picture through visualizing our client’s entire operations on a digital twin platform. The digital twin relies on data collected from existing CCTV, SCADA, & EAM systems bringing life to a dynamic 3D replica of assets in operation.

This is a powerful solution for clients looking to centralize operations and implement proactive maintenance strategies across multiple sites.

Usecase: Baggage Handling Systems

Usecase: Passenger Boarding Bridges

Usecase: Industrial Automation

Airis VISION

Airis VISION is a customaizable solution that entails building machine learning algorithms for video analystics. Our solution can be deloyed on the cloud or on premise with

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