Skylark Labs delivers Adaptive AI solutions for the transportation sector—empowering roadways, intersections, and public transit systems with real-time safety intelligence and no cloud dependency.
Unlike traditional systems that rely on remote servers, Skylark’s AI operates directly on the edge—learning from live traffic flows, driver behaviors, and evolving roadway scenarios to detect threats autonomously.
Our edge-native AI platform analyzes data from CCTVs, vehicle sensors, and radar/LiDAR feeds to instantly alert authorities about wrong-way vehicles, pedestrian hazards, near-miss incidents, and accident-prone behaviors.
Deployed through rugged edge devices like the Synapse AI Box, Sentinel AI Camera, and Scout AI Tower, the system integrates with existing ITS and traffic camera networks—turning every node into an intelligent traffic guardian.
Whether installed at intersections, mounted on overpasses, or embedded in fleet vehicles, Skylark’s transportation AI scales across urban and highway infrastructure—empowering smart cities, traffic authorities, and public safety teams with always-on, on-site intelligence.
Vehicle Safety Systems
Fleet Operations
Public Transit Networks
Traffic Infrastructure
Our AI solutions enhance safety and efficiency across metros, bus stations, and transit terminals by bringing real-time analytics and behavioral monitoring to every commuter interaction.
Weapon Detection, Anti-Harassment Alerts, Passenger Fall Detection, Audio Threat Recognition
Real-Time Passenger Counting, Occupancy Monitoring, Crowd Density Alerts, Peak-Hour Optimization
Route Planning, Fleet Health Monitoring, Fuel Efficiency, Schedule Adherence
Skylark’s AI-driven road surveillance platform proactively monitors high-risk driving behavior and road conditions—enabling real-time alerts for accidents, violations, and roadway hazards.
Wrong-Way Vehicles, Speed Violations, Lane Drifting, Collision Prediction
Drowsiness Detection, Harsh Braking, Fatigue Alerts
Pothole Detection, Crash-Prone Zones, Weather-Based Warnings, Surface Degradation
