25 May,2026 06:49 PM IST | Mumbai | mid-day online correspondent
The new AI-powered system has reduced pantograph inspection time from around 30 minutes to just a few seconds per train. Pic/Special Arrangement
Mumbai Metropolitan Region Development Authority (MMRDA) has implemented India's first Automated Pantograph Condition Monitoring System (APCMS), introducing advanced artificial intelligence-based monitoring technology into Mumbai Metro operations, an official statement said.
The system is designed to improve train maintenance efficiency, passenger safety and operational reliability through real-time monitoring of critical metro equipment.
According to MMRDA, the new AI-powered system has reduced pantograph inspection time from around 30 minutes to just a few seconds per train.
Officials said this has improved maintenance efficiency by nearly 90 to 95 per cent while also increasing fleet availability and reducing train downtime.
The technology replaces traditional manual inspections with continuous automated monitoring during regular metro operations, the statement said.
A pantograph is the equipment mounted on top of electric trains that connects the train to the overhead power supply system.
Even small defects such as cracks, uneven wear or alignment issues can affect power collection and potentially lead to operational disruptions or infrastructure damage.
Until now, inspections were conducted manually during scheduled maintenance checks.
The newly deployed APCMS uses:
- Artificial intelligence (AI)
- Machine learning
- High-speed laser scanners
- Precision imaging systems
- Advanced 3D triangulation technology
The system captures detailed information about the pantograph while trains continue running at normal speeds without interrupting services.
AI-driven analytics then detect abnormalities, wear patterns and possible faults before they become major operational problems.
MMRDA said the monitoring system is capable of functioning reliably during daytime and night operations, rain, changing light conditions and high-speed train movement.
The APCMS continuously checks:
- Carbon strip wear and cracks
- Missing or damaged components
- Structural deformation
- Pantograph alignment
- Uplift distance and force
- Rooftop abnormalities and foreign objects
Whenever a defect crosses predefined safety limits, the system instantly sends alerts to operational control centres and maintenance teams.
Each inspection is digitally recorded and linked to specific trains using RFID technology, creating a detailed inspection history for long-term analysis and maintenance planning.
Officials said the technology allows metro authorities to move from fixed maintenance schedules to intelligent condition-based maintenance, helping identify faults early and reduce operational risks.
The system also supports:
- Reduced maintenance costs
- Faster turnaround of trains
- Better reliability of overhead power systems
- Improved operational safety
- Lower dependence on manual inspections
Maharashtra CM Devendra Fadnavis said the deployment reflects Maharashtra's push towards AI-driven urban transport infrastructure.
He stated that integrating artificial intelligence and predictive diagnostics into metro operations would strengthen passenger safety and create smarter, future-ready public transport systems.
Deputy Chief Minister Eknath Shinde described the initiative as a major technological advancement for India's urban transit sector.
Meanwhile, Sanjay Mukherjee said the technology would significantly improve operational reliability and reduce service disruptions across Mumbai's metro network.
