IRCTC Deploys AI and 2,300+ Cameras in 800 Kitchens to Fight Railway Food Hygiene Issues

Top Summary

• What happened: IRCTC has linked over 800 base kitchens to an AI-powered camera network to monitor food hygiene 24/7.
• Why it matters: The automated system detects pest infestations, cleanliness issues, and staff protocol violations in real-time.
• What changes: Railway passengers can expect safer, highly monitored, and cleaner food during their journeys.
• Who is affected: Millions of daily rail passengers and IRCTC kitchen operators across the Indian Railways network.

A High-Tech War Room for Railway Meals

The Indian Railway Catering and Tourism Corporation (IRCTC) has significantly upgraded its surveillance capabilities. A central war room in New Delhi now monitors 2,394 AI-based cameras active in over 800 base kitchens nationwide.

This automated system aims to maintain top-tier hygiene as IRCTC scales up operations, now delivering an astounding 18 lakh meals daily. This translates to approximately 60 crore meals annually across 1,453 trains, including premium services like Vande Bharat and Rajdhani.

Detecting Pests and Protocol Breaches

The AI system acts as an automated inspector capable of identifying nine distinct anomalies that threaten food safety. It can detect tiny pests like rodents, cockroaches, and flies measuring just 7 to 8 millimetres in size.

Additionally, the cameras monitor staff behavior, ensuring kitchen workers wear hairnets and transparent gloves while keeping track of regular mopping and cleaning activities.

An IRCTC official noted that the most frequent violation flagged is staff failing to wear hairnets properly. The system generates an average of 350 alerts daily, recording 13,550 alerts in the past month alone. The regional breakdown of these alerts highlights where compliance issues were most frequent:

• Northern Region: 4,123 tickets
• Eastern Region: 3,205 tickets
• Western Region: 2,687 tickets
• South Central Region: 2,226 tickets
• Southern Region: 1,309 tickets

Immediate Action and the Margin of Error

When the system flags an anomaly, it immediately alerts the kitchen manager. If corrective action is not taken in time, the issue escalates, with standard penalties or rectifications expected within two hours.

Despite its high accuracy, the system has a 10 percent false alert rate. For example, if a chef's hairnet slips slightly upward, the strict AI codes it as a total compliance failure.

Maintaining quality is especially vital during seasonal transitions, which are notorious for food spoilage. To enforce strict standards, the Ministry of Railways recently slapped a Rs 10 Lakh fine on IRCTC and a Rs 50 Lakh fine on a private contractor for serving poor-quality curd on a Vande Bharat train.

"The objective is to ensure real-time compliance, quality control, and immediate corrective action so that passengers receive better and safer catering services."

What to Watch Next

IRCTC intends to continuously expand this AI framework by adding more cooks and integrating a broader list of anomalies into the system. Observers will watch whether these strict surveillance measures successfully bring down passenger food complaints, which stood at 6,645 in the 2024-25 fiscal year.