Digital Twin project presented at Global Rail 2024
We presented our Digital Twin project at the Global Rail 2024 Transport Infrastructure Exhibition & Conference. This solution combines LiDAR detection for occupancy tracking with IoT sensors to monitor temperature, humidity, air quality, acoustics, and visual comfort. Using a Unity-3D immersive environment and AI-driven predictions, it offers real-time insights to support better decision-making for Indoor Environmental Quality (IEQ) and air quality forecasting, contributing to more efficient energy use and sustainability.
The technology is well-suited for railway stations, helping the UAE's new railway system become more energy-efficient and sustainable while improving passenger comfort. By utilizing real-time data from occupancy and environmental sensors, operators can better manage energy consumption and indoor conditions. We appreciate the Global Rail organizers for hosting the event and having us as part of their Innovation Hub area.