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TrackEi™ to revolutionize track inspections in the Mobility segment with NVIDIA Jetson™ - Powered AI for Real-Time Defect Detection
SANTA CLARA, Calif. & BENGALURU, India, March 19, 2025--(BUSINESS WIRE)--L&T Technology Services Limited (BSE: 540115, NSE: LTTS), a global leader in engineering and technology services, today announced the launch of TrackEi™, an AI-powered railway track inspection solution. Designed as part of LTTS’ growing mobility portfolio, TrackEi™ leverages the NVIDIA Jetson™ platform for edge AI and robotics — to deliver real-time defect detection and, support predictive maintenance, enhancing safety for rail networks worldwide.
The latest development follows a series of accolades recognizing LTTS’ leadership in rail innovation, including winning the Etihad Rail Innovation Award for its "Innovative Way to Detect Visible Rail Defects in Real-Time." TrackEi™ will be showcased at the NVIDIA GTC 2025 AI Conference, highlighting LTTS’ ongoing commitment to AI-driven transformation in transportation infrastructure.
Traditionally, rail inspection involved manual processes or slow-moving trolleys, which are time consuming and sometimes fail to detect critical flaws in time to prevent derailments. TrackEi™ addresses this challenge by automating high-speed inspections at over 60 Miles Per Hour, utilizing high-resolution cameras and laser profiling to identify issues such as broken rails, cracks, track misalignments, and other structural defects. By integrating deep learning algorithms powered by NVIDIA accelerated computing, TrackEi™ delivers immediate actionable intelligence and continuously improves detection accuracy over time.
The NVIDIA Jetson™ platform delivers high performance AI compute and sensor processing capability for autonomous machines and robotics, accelerating deep learning inference capabilities and enabling TrackEi™ to:
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Process massive amounts of high-speed image data on the fly, reducing reliance on cloud connectivity
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Perform complex machine vision tasks with high accuracy via stroboscopic lights, thus nullifying impact of variable lighting and weather conditions
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Continuously learn and adapt from real-world data, ensuring sustained performance improvement
Key Product Differentiators
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Real-Time Defect Detection: AI-driven algorithms analyze video feeds and sensor data in milliseconds, enabling immediate alerts for anomalies.
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Predictive Maintenance: By aggregating inspection data over time, TrackEi™ helps MoW and operators have an intelligent prediction of when and where maintenance is needed, minimizing downtime.
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Scalable, Edge-Based Architecture: Built on NVIDIA Jetson™, TrackEi™ operates at the network edge, reducing latency and bandwidth requirements while ensuring high reliability.
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Seamless Integration: The system can be retrofitted onto existing rolling stock/locomotive/inspection vehicles and easily integrated into standard railway management systems, enabling faster adoption and return on investment.
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Enhanced Safety & Sustainability: By detecting defects early and optimizing maintenance schedules, TrackEi™ contributes to safer journeys, reduced fuel consumption, and lower emissions.