Archive · 25 Jul 2026
Indian Railways Launches AI Stain Detection Pilot
Indian Railways has started a new project using AI cameras to check for stains on washed linen in their laundries.
This is happening in Pune and some places in Rajasthan.
The goal is to make sure the linen given to passengers in AC classes is clean and nice.
They also use special machines called Whito-Meters to check how clean the linen is.
Additionally, they have installed CCTV cameras in many places to keep passengers safe.
The minister said that passengers really like the new blanket covers they are providing in some trains.
Indian Railways initiates AI-based stain detection pilot in Pune and Rajasthan laundries.
AI cameras and Whito-Meters used to ensure cleanliness of linen for AC class passengers.
Blanket covers provided to all AC class passengers in North Western Railway and Vande Bharat Sleeper Train.
CCTV surveillance systems installed at 3,215 railway stations and 13,409 passenger coaches.
Minister highlights positive passenger feedback on the blanket cover initiative.
- Who
- Indian Railways
- What
- Launched AI-based stain detection pilot project
- When
- Pilot project initiated
- Where
- Pune Division, Central Railway; Jaipur and Jodhpur Division, North Western Railway
- Why
- To enhance the quality of washed linen and improve passenger experience
Pro-AI Implementation
Privacy Concerns
Enhanced Passenger Experience
Pro-AI Implementation
AI technology improves linen quality and passenger satisfaction.
Privacy Concerns
Increased surveillance may raise privacy concerns among passengers.
- Project Location
- Pune Division, Central Railway; Jaipur and Jodhpur Division, North Western Railway
- Linen Items
- Two bed sheets, one pillow cover, one hand towel per bedroll packet
- Blanket Cover Initiative
- Provided to all AC class passengers in North Western Railway and Vande Bharat Sleeper Train
- CCTV Surveillance
- Installed at 3,215 railway stations and 13,409 passenger coaches
- Cleanliness Check
- Whito-Meters used in mechanized laundries