Matrix Geo Solutions Ltd has secured a Letter of Acceptance from North Western Railway to monitor the Luni–Samdari–Bhildi double line project. The Jaipur-based contract covers aerial videography monitoring across a 271.97 km rail corridor and is valued at Rs 30.76 million (mn), to be executed over 30 months. The assignment reflects growing complexity in railway infrastructure and the consequent need for accurate, timely monitoring to maintain schedules and manage risks during construction. Monthly deployments of advanced unmanned aerial vehicles will capture four K geo-tagged video with GPS metadata to enable precise change detection at successive construction stages, including earthwork, ballast laying, rail installation and bridge construction. The data will be integrated into geospatial workflows to support progress assessment, defect identification and resource planning. The approach is intended to improve timelines, enhance safety protocols and increase transparency in project execution for all stakeholders. Matrix Geo Solutions indicated that drone-led monitoring is expected to reduce the need for senior officials to travel to sites by 50 per cent and to accelerate reporting time by 25 per cent while providing real-time updates on project locations. The company highlighted its more than 25 years of global experience in delivering high-precision geospatial intelligence for infrastructure programmes. Its expertise encompasses satellite imagery, drone data capture, aerial mapping and geographic information systems to facilitate precise planning and monitoring. Such capabilities are presented as particularly valuable for large scale railway corridors. The monitoring assignment is scheduled over a 30 month period and will support contractors and railway administrators in maintaining control over timelines and deliverables. Project managers will be able to use periodic aerial evidence to inform faster decision making and to co-ordinate remedial actions. The deployment of such technology is likely to become a standard feature of complex infrastructure monitoring as stakeholders seek higher assurance and measurable efficiency gains.