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Indian Railways Adopts AI to Deliver Spotless Linen to Passengers

Indian Railways is revolutionizing its linen cleaning services by implementing AI-based technology to enhance passenger experience. The Railway Minister, Ashwini Vaishnaw, recently launched a high-tech machine that uses artificial intelligence to automatically identify and segregate stained or damaged linens before they are packed for use.

On a daily basis, the railways distribute approximately six lakh linen packets, each containing two bedsheets, a pillow cover, a hand towel, and a blanket. Addressing frequent passenger complaints about linen cleanliness, this new AI-powered system aims to significantly improve service quality.

The innovative “stain and damage” detection machine, first introduced in Pune, employs high-resolution cameras to capture detailed images of the linens, ensuring precise stain and damage detection. This technology is part of a broader initiative to enhance the existing laundry services across the railway network, which includes 80 mechanized laundries nationwide.

Currently, only 2% of linens are checked manually, with those failing to meet standards being rejected. With the introduction of this AI system, there is a plan for a broader rollout across Central and Western Railway zones, eventually expanding to all zones across the country.

This system manually feeds linens into a conveyor where they pass through a detection area at a controlled speed, allowing cameras to take detailed images. These images are then analyzed by real-time detection software equipped with advanced machine learning algorithms that can identify stains and damage with 100% accuracy.

Railway officials emphasize that this technology focuses on rigorous quality control, ensuring that passengers receive only the cleanest linens, enhancing overall travel comfort and satisfaction.

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Written by RT team

The RT team is a diverse group of writers, analysts, and innovation enthusiasts united by a shared passion for the world of invention. With a collective experience spanning several years in technology, science, journalism, and innovation studies, they dedicate their skills to uncovering, understanding, and showcasing the most exciting advancements and trends in the industry.