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Outdated systems and procedures hinder safety and efficiency. Rail technology advancements have been slow.
The industry struggles with staffing issues, impacting safety, operations, and employee well-being.
Manual troubleshooting and judgment require complex multitasking, leading to lengthy training and the risk of human error.
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Our successful PoC on the Kaohsiung LRT (Light Rail Transit) enhances driver awareness by detecting obstacles up to 80 meters ahead*, helping prevent accidents caused by driver fatigue.
Using a combination of cameras, LiDAR, GNSS, and other sensors, our system reconstructs the tram’s surroundings in real-time. Advanced sensor fusion algorithms continuously monitor potential collisions through rail and object detection, ensuring the highest standards of safety and reliability.
https://youtube.com/shorts/R1nGgf6S1b4
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Our driver drowsiness and attention monitoring system uses advanced camera and sensor technology to detect signs of fatigue or distraction. When inattention or drowsiness is detected, the system immediately alerts the driver, helping to prevent accidents and improve safety.
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Testing algorithms and hardware in the rail industry can be challenging due to field access and approval constraints. Our digital twin solution significantly reduces downtime and costs by enabling continuous development and testing in a virtual environment.
With physics- and photo-realistic simulations, our platform supports advanced use cases such as sensor placement trials, data collection for algorithms, real-time vehicle dynamics simulation, and latency analysis.
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Data collection in the rail industry is challenging, especially for rare and critical scenarios. Limited real-world data can lead to low AI model precision and even failure in edge cases.
Our digital twin technology addresses this by generating high-quality synthetic data for AI training while rapidly simulating tens of thousands of rare scenarios in seconds. This enhances data collection, improves AI model robustness, and ensures better performance in real-world operations.
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CEO | Engineer
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