Bharat in Betastartup field guide
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No. 1356Problem statementMobility and logistics

City-Wide AI Engine for Multi-Camera ANPR Trajectory Tracking and Urban Traffic Analytics

Source

Source summary

Create a city-wide AI platform joining geographically distributed ANPR feeds. Recognise plates under difficult lighting, weather, blur and damage, with the source targeting above 90% accuracy; reconstruct queried vehicle paths chronologically on GIS; and aggregate traffic density, speeds, origin-destination patterns and bottlenecks. Include a scalable dashboard and real-time alerts for listed vehicles or anomalous routes. This preserves the monitoring scope without treating an alert as proof of wrongdoing or a plate reading as certain identification.

No. 352Problem statementMobility and logistics

Artificial intelligence in logistics and SCM

The source names AI-based logistics and supply-chain management for stores, spares and rations. It is a broad stated application area and does not identify a specific algorithm, workflow, scale or commercial model.

No. 537Problem statementMobility and logistics

Simple Artificial Intelligence Based Prediction Model for Bird Hazard Management System

The Indian Air Force wants a real-time model of bird-aircraft collision risk around target airfields. One module should estimate typical seasonal bird density from field observations, historical patterns and expert knowledge; a second should adjust forecasts for the next 24 hours to three days using live weather and remote-sensor data; a third should quantify species-level hazard from strike frequency, damage and bird mass.

No. 626Problem statementMobility and logistics

Standardisation of GCS

Standardise the Indian Army's ground-control stations across unmanned aerial vehicles. The source asks for modules that convert existing and already-planned stations into a common station usable across vehicles, plus standard conditions that future vendors must follow so later systems conform without retrofit.