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On Wed, 19 Mar, 4:06 PM UTC
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[1]
L&T Technology Services Unveils AI-Powered Railway Track Inspection Solution TrackEi
Seamless integration with existing railway management systems. Engineering and Technology services company L&T Technology Services Limited (LTTS) has launched TrackEi, an AI-powered railway track inspection solution designed to enhance rail safety and predictive maintenance. Built on the Nvidia Jetson platform, TrackEi enables real-time defect detection, helping rail operators minimise downtime and prevent accidents. Also Read: AI: Google Health AI Updates, xAI Acquires GenAI Video Startup, Mistral Releases Small AI Model TrackEi automates high-speed track inspections at over 60 miles per hour, leveraging high-resolution cameras and laser profiling to detect issues such as broken rails, cracks, and misalignments. By integrating deep learning algorithms powered by Nvidia accelerated computing, LTTS says TrackEi continuously improves detection accuracy while reducing reliance on manual inspections. Also Read: Oracle UK Investment, ServiceNow AI Agents, Google AI Chip, Tech Mahindra-Google Cloud Partnership "At LTTS, we are redefining railway safety by combining AI, machine vision, and edge computing to create an intelligent, scalable inspection solution," said Alind Saxena, Executive Director & President - Mobility and Tech at L&T Technology Services. "With TrackEi running on the powerful Nvidia Jetson platform, rail operators can detect defects with unparalleled accuracy while optimising maintenance schedules and reducing downtime." LTTS says the launch of TrackEi builds on its deep collaboration with Nvidia, which recently included the unveiling of an AI Experience Zone at LTTS. Currently undergoing testing at MxV Rail in Pueblo, Colorado, TrackEi is being evaluated under the supervision of Anish Poudel, Scientist (Research and Innovation) and his research team. The system has also undergone initial trials with Class I Railroad customers in various variants. Also Read: AI: Google Gemma 3, Palantir to Work With Archer, Qualcomm, and Anthropic-CommBank Partnership The launch follows LTTS's recognition as a winner of 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, the company said on March 19.
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L&T Technology Services to Transform Railway Safety with AI-Powered TrackEi
TrackEiTM to revolutionize track inspections in the Mobility segment with NVIDIA JetsonTM - Powered AI for Real-Time Defect Detection L&T Technology Services Limited (BSE: 540115, NSE: LTTS), a global leader in engineering and technology services, today announced the launch of TrackEiā¢, an AI-powered railway track inspection solution. Designed as part of LTTS' growing mobility portfolio, TrackEiā¢ leverages the NVIDIA Jetsonā¢ 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." TrackEiā¢ 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. TrackEiā¢ 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, TrackEiā¢ delivers immediate actionable intelligence and continuously improves detection accuracy over time. The NVIDIA JetsonTM platform delivers high performance AI compute and sensor processing capability for autonomous machines and robotics, accelerating deep learning inference capabilities and enabling TrackEiā¢ to: Process massive amounts of high-speed image data on the fly, reducing reliance on cloud connectivity Perform complex machine vision tasks with high accuracy via stroboscopic lights, thus nullifying impact of variable lighting and weather conditions Continuously learn and adapt from real-world data, ensuring sustained performance improvement Key Product Differentiators Real-Time Defect Detection: AI-driven algorithms analyze video feeds and sensor data in milliseconds, enabling immediate alerts for anomalies. Predictive Maintenance: By aggregating inspection data over time, TrackEiā¢ helps MoW and operators have an intelligent prediction of when and where maintenance is needed, minimizing downtime. Scalable, Edge-Based Architecture: Built on NVIDIA Jetsonā¢, TrackEiā¢ operates at the network edge, reducing latency and bandwidth requirements while ensuring high reliability. 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. Enhanced Safety & Sustainability: By detecting defects early and optimizing maintenance schedules, TrackEiā¢ contributes to safer journeys, reduced fuel consumption, and lower emissions. "At LTTS, we are redefining railway safety by combining AI, machine vision, and edge computing to create an intelligent, scalable inspection solution," said Alind Saxena, Executive Director & President - Mobility & Tech at L&T Technology Services. "With TrackEiTM running on the powerful NVIDIA JetsonTM platform, rail operators can detect defects with unparalleled accuracy while optimizing maintenance schedules and reducing downtime." The launch of TrackEiā¢ builds on LTTS' deep collaboration with NVIDIA, which recently included the unveiling of a cutting-edge AI Experience Zone at LTTS. This ongoing partnership underscores LTTS' commitment to driving innovation across industries by leveraging advanced AI technologies. Accelerated by the NVIDIA JetsonTM platform, LTTS' TrackEiā¢ solution, having gone through initial trial at our Class-I Railroad customers in different variants, is currently undergoing testing and evaluation at MxV Rail in Pueblo, CO, under the supervision of Dr. Anish Poudel, Scientist (Research & Innovation) and his research team. MxV Rail is a wholly owned subsidiary of the Association of American Railroads. About L&T Technology Services Ltd L&T Technology Services (LTTS) is a global leader in engineering and technology services. A listed subsidiary of Larsen & Toubro (L&T), we offer design, development, testing, and sustenance services across products and processes.
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L&T Technology Services launches TrackEi, an AI-powered railway track inspection solution built on the Nvidia Jetson platform. The system uses deep learning algorithms for real-time defect detection, enhancing rail safety and predictive maintenance.
L&T Technology Services Limited (LTTS) has unveiled TrackEi, an innovative AI-powered railway track inspection solution designed to revolutionize rail safety and maintenance practices. Built on the Nvidia Jetson platform, TrackEi leverages advanced technologies to enhance the efficiency and accuracy of track inspections 1.
TrackEi utilizes a combination of high-resolution cameras, laser profiling, and deep learning algorithms to automate high-speed track inspections. The system can operate at speeds exceeding 60 miles per hour, detecting critical issues such as broken rails, cracks, and misalignments in real-time 2.
The development of TrackEi builds on LTTS's collaboration with Nvidia, which recently included the unveiling of an AI Experience Zone at LTTS 1. The company's innovation in rail safety has been recognized with the Etihad Rail Innovation Award for its "Innovative Way to Detect Visible Rail Defects in Real-Time" 2.
TrackEi is currently undergoing testing at MxV Rail in Pueblo, Colorado, under the supervision of Dr. Anish Poudel and his research team. The system has also undergone initial trials with Class I Railroad customers in various variants 1 2.
The introduction of TrackEi represents a significant advancement in railway safety technology. By automating and enhancing the accuracy of track inspections, the solution has the potential to reduce accidents, optimize maintenance schedules, and improve overall operational efficiency in the rail industry. LTTS plans to showcase TrackEi at the Nvidia GTC 2025 AI Conference, further highlighting its commitment to AI-driven transformation in transportation infrastructure 2.
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