Intelligence for Critical Infrastructure
Surya's AI solutions are built for the operational realities of Indian infrastructure — designed to work reliably in constrained environments with intermittent connectivity and extreme conditions.
Computer vision platform processing CCTV feeds across stations and terminals to provide real-time passenger density mapping, queue detection, dwell time analysis and automated overcrowding alerts — enabling operators to respond before congestion becomes critical.
- Real-time crowd density heat maps
- Queue detection and wait time estimation
- Automated alert when thresholds exceeded
- Anonymised, privacy-preserving processing
- Integration with station control and PA systems
Machine learning platform ingesting data from SCADA, IoT sensors, GPS systems and historical records to produce predictive insights — failure forecasts, capacity predictions, schedule optimisation recommendations and anomaly detection alerts.
- Time-series anomaly detection
- Asset failure probability scoring
- Schedule and capacity optimisation
- Natural language query interface
- Automated daily and weekly intelligence reports
Purpose-built edge computing units running AI models locally — eliminating latency and cloud dependency for real-time safety and control applications. Designed for deployment in rail vehicles, trackside cabinets and industrial plant environments.
- NVIDIA Jetson and Hailo AI accelerators
- Sub-10ms inference latency
- Designed for -20°C to +70°C operation
- OTA model update capability
- Rugged IP67 enclosure variants available
Large language model-powered assistant integrated into operations control rooms — enabling staff to query live system status, access maintenance history, interpret alerts and generate incident reports using natural language, dramatically reducing cognitive load.
- Natural language system status queries
- Automated incident report generation
- Maintenance history Q&A
- Alert explanation and recommended actions
- Multilingual support — Hindi and English