Stream - Connect - Earn with XTwinEye

Extended Twin Eye (XTwinEye)

Project Name

Challenge:

Transport industry is facing a system of system network challenge to understand citizen relationships & associations with spatial objects (built environments) and vehicle mobility around space.

i.e., Understanding Who is travelling, When, What, Where, How?

XTwinEye Solution Overview

Project Name

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Project Name

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Extended Twin Eye is a SaaS based AI solution that allows to stream data from any location to solve real world problem at the edge.

XTwinEye is an Edge Computing empowered AI /ML analytics platform that will use a national network of smart cameras coupled with citizen data using the highway network. Citizens will be compensated to release data via their smartphone data capture capability (eg. video, spatial location, elevation, weather, environmental data) and other collectible data owned by the citizen network users as they move through the road network. This will enable Highways England to make informed decisions on asset condition monitoring and other data centric strategy programmes.

XTwinEye Platform provides an opportunity for mobile phone users with smart cameras to earn money at anytime and anywhere by streaming desired data or video content from the edge location by partnering with businesses (including public & private sectors) around the globe. Our solution allows remote monitoring of assets, predictive maintenance, learn & run ML inference at the edge plus create Digital Twins (DT) for live transit network.

XTwinEye provide solutions to solve problem at the edge for various market segments covering Transport and Mobility, Manufacturing, Water, Oil and Gas, Telco, Energy, Fleet Management, Agriculture ..etc.

Market Segments

Our solution helps Transport, Aerospace, Air Mobility, Telco, Energy, Fleet, Warehouse, Farming and Supply-Chain Industries :

•Digitalization of Assets across the UK

•Stream data at the Edge from anywhere and everywhere

•Become 5 times more efficient in informed decisions by federated learning

•Reduce Design & Operational cost by up to 50%

•Increase bottom line profit for the business by creating digital shadows.

•Stay relevant and competitive against emerging technology

Business Use Case

Road Hazard Detection
Route & Network Capacity Optimization
Transport Scheduling
Real Time Traffic
Car Pooling – Drive, Earn, Ride Anywhere
Multi-modal route planning,
Live Congestion
Remote Asset Monitoring
Ensure Safety
Decarbonization
Fleet Management
Theft Detection by detecting Car Number Plates
Run Simulations
Create Live Digital Twins