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Success Story

Revolutionizing Rail Travel: AI-Powered Face Recognition for Hassle-free Journey

Public Transportation
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The client is at the forefront of India's transit revolution, developing a high-speed, efficient, and sustainable regional rail network. Tasked with implementing the Regional Rapid Transit System (RRTS), client aims to enhance connectivity across the National Capital Region (NCR), reducing travel time and boosting economic activity. With increasing passenger volumes and the need for a seamless, technology-driven commuting experience, client sought to modernize its fare collection and passenger management systems, ensuring a faster, more convenient, and future-ready transit network.

The Challenge: Incorporating Secure Face Recognition Without Internet Dependence

For millions of daily commuters, buying and verifying train tickets has been a time-consuming affair. Physical tickets and monthly passes not only caused congestion at entry gates but also led to high operational expenses and environmental waste. The national transportation company wanted an innovative solution to eradicate ticketing inefficiencies and enhance passenger experience—a process that was faster, safer, and environmentally friendly. By leveraging  Datamatics’ AI consulting services and cutting-edge AI practices, the client intended to redefine the passenger travel experience. Implementing an AI-based ticketless travel system involved major challenges.

The whole infrastructure needed to operate on-premises without internet or cloud support, providing maximum security and privacy to commuters. Moreover, railway stations offered extremely variable lighting conditions, with day and night conditions being vastly different. The face recognition model needed to work well in all conditions.

Fraud prevention was also a concern. The system must detect and reject attempted fraud, like using mobile photos of registered faces rather than appearing in person. Furthermore, inference speed was essential—processing peak-hour foot traffic necessitated near-instant verification to avoid long lines and delays.

The Solution: AI Face Recognition for Travel

To eliminate ticketing inefficiencies and enhance commuter convenience, Datamatics implemented KaiVision - A cutting-edge video and image analytics accelerator powered by Agentic AI, seamlessly integrating Vision AI with Gen AI for deriving actionable insights from images and video streams. Developed ground-up using public open-source architectures trained on heterogeneous facial datasets, providing high accuracy across varied conditions.

Gone were the days of long queues and paper tickets. The AI-driven system instantly recognized passengers, granting them entry in less than 0.5 seconds with 99.5% accuracy. A liveness detection model further ensured security, eliminating 98% of fraudulent attempts such as photo-based impersonation.

By deploying the solution on-premises at the edge, Datamatics removed dependency on the internet, allowing real-time processing even during peak hours. The system seamlessly scaled to accommodate over 1 million passengers daily, all while reducing operational costs by 80%—ushering in a smarter, more sustainable era of ticketless travel.

Impact: A New Era of Ticketless Travel

99% Reduction in Wait Times

Ticket validation now takes under 2 seconds, eliminating long queues.

Near-Zero Fraud

The AI system successfully blocked over 99% of impersonation attempts, ensuring secure verification.

Environmental Sustainability

The paperless system saved millions of printed tickets annually, significantly reducing waste.

Operational Cost Savings

By automating ticket validation, the transport corporation achieved a 70% reduction in administrative costs.

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