Autonomous Rail Infrastructure Inspection System (ARIIS)

Download BrochureMetallic rail vehicle on Dubai Metro train tracks under a partly cloudy blue sky.

Autonomous Rail Infrastructure Inspection System (ARIIS)

ARIIS is a combination of multiple rail inspection sensors on a fully autonomous rail vehicle.​ By automating rail infrastructure inspections, it reduces the requirement to send people into the rail corridor for asset inspections.

TECHNICAL SPECIFICATIONS
Black icon of a steam locomotive train.Black and white icon of a steering wheel with wireless signal waves indicating autonomous driving technology.Icon of a railway track switch illustrating railroad tracks diverging at a junction.Dashboard interface showing user profile, filtering options, search bar, recent activity with timestamps, and detailed information.
Railway
Autonomous
Track Condition
Integrated Data
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Full
Autonomous
Digital Twin
Artificial Intelligence
Configurable
Inspections

Train Examination System (TRES)

Download BrochureAutonomous robot with robotic arm operating indoors for train component inspection

Train Examination System (TRES)

TRES is an autonomous inspection robot for rolling stock that conducts inspections of rail assets using state-of-the-art robotics and proprietary sensor technology. TRES is highly customisable and configurable to suit unique rollingstock requirements.


TECHNICAL SPECIFICATIONS
Icon representing artificial intelligenceIcon representing configurable inspectionsIcon representing full autonomous capability Icon representing multi robot compatibility
Artificial Intelligence
Configurable
Inspections
Full
Autonomous
Multi-Robot
Ready

Rail Facility Drones (RFD)

Drone dock on a rooftop with a UAV drone, a control box labeled RFD FMT, a laptop showing a drone monitoring interface, and a drone dock with trains in the baclground.Download Brochure

Rail Facility Drones (RFD)

RFD is an autonomous inspection robot for rail assets, facilities and infrastructure using the latest Infrared and Optical technology to identify Facility condition and defects.
The system collects high resolution imagery and uses Machine Learning and Computer Vision analytics to develop specific facility and rail infrastructure inspections.

TECHNICAL SPECIFICATIONS
Black and white train iconBlack icon of a self-driving or autonomous car with a sensor symbol on top.Icon of railroad tracks with a curved section branching off from a straight section.Dashboard interface showing four statistics cards for Total Revenue, New Users, New Orders, and Growth with a 'Go Pro' button and a chart with monthly data.
Railway
Autonomous
Track Condition
Integrated Data
Icon representing seamless integration into customers CMMS Icon representing artificial intelligenceIcon representing configurable inspectionsIcon representing full autonomous capability
Artificial Intelligence
Integration Ready
Configurable
Inspections
Full
Autonomous