TRAFFIC AUTOMATION SYSTEM
See every vehicle, cyclist, and pedestrian in 3D. React in real time
The Traffic Automation System is a comprehensive, turnkey traffic management solution that combines high-resolution 3D digital LiDAR sensors with advanced AI perception software to create a real-time 3D digital twin of intersections and roadways. Built to replace legacy inductive loops, cameras, and radars, it delivers a single, low-maintenance LiDAR-based platform for intelligent signal actuation, safety alerting, and round-the-clock traffic analytics.
Key Features
Native Color LiDAR Sensing
Captures color imagery and precise 3D depth simultaneously in a single pass, eliminating complex calibration and making point-cloud data far easier to interpret and act on.
Advanced Multimodal Detection
Delivers continuous 360° detection with up to 99% stop-bar accuracy, reliably identifying vehicles, pedestrians, cyclists, and trams across all lighting and weather conditions.
Sensor Range & Field of View
Covers up to 200m at standard reflectivity and 500m at maximum range, with a full 360° horizontal and 45° vertical field of view giving corridor-level coverage from just one or two sensors.
Precision Across the Full Detection Range
A near-zero minimum range ensures accurate stop-bar detection at the intersection, while the extended 500m range supports advance warning and approach-lane monitoring.
Real-Time Signal Actuation
Replaces fixed-timer logic with dynamic, demand-based signal control that adjusts to live traffic conditions, cutting congestion and reducing vehicle idle time.
Traffic Signal Controller Integration
Connects directly to existing signal infrastructure via open API, feeding real-time detection data into the controllers, firmware, and ATMS platforms already in use — no rip-and-replace required.
All-Weather, All-Condition Reliability
Maintains consistent, high-fidelity detection in rain, snow, fog, or darkness, operating from -40°C to 85°C with IP68/69K-rated protection against dust and water.
Scalable Sensor Density per Site
Typically one or two sensors per intersection replace multiple cameras, radars, and inductive loops, cutting both device count and wiring complexity.
Multi-Vendor, Multi-Controller Compatibility
An open, vendor-neutral architecture interoperates with different controller brands and firmware, enabling retrofits without a full cabinet replacement.
Vulnerable Road User (VRU) Safety Actuation
Automatically extends crosswalk timing, triggers dilemma-zone protection, and issues yield warnings, reducing the risk of collisions for pedestrians and cyclists at every cycle.
Vehicle-to-Everything (V2X) Communication
Broadcasts standardised, real-time position and safety data to connected vehicles, enabling cooperative safety features and future automated mobility use cases.
Edge-Based AI Processing
Runs real-time inference directly at the intersection using high-performance edge hardware, delivering faster insights than traditional camera-based systems that rely on remote processing.
24/7 Cloud Analytics Dashboard
Continuously tracks near-misses, jaywalking, red-light running, and wrong-way driving, giving city planners the data to identify risk zones and prioritise infrastructure investment.
Rapid, Non-Invasive Deployment
Installs in just 3–5 hours using existing infrastructure, with no trenching, lane closures, or complex field calibration required.
Long-Term Reliability & Low Maintenance
Rated for 250,000+ hours mean time to failure and a 10-year production life, minimising field maintenance visits and replacement costs over the system’s lifetime.
Open API & ATMS Integration
Integrates seamlessly with leading traffic management systems, ensuring compatibility with your existing city infrastructure rather than requiring a full platform overhaul.
Connects devices and systems from any manufacturer on one open platform, protecting existing investments and giving you the freedom to choose best-of-breed technology for every application with no vendor lock-in.
Cross-references data from multiple sources to catch complex events that individual systems would miss on their own, for example, linking a failed access card swipe, a motion sensor alert, and an unrecognised vehicle into a single confirmed security breach.
Walks every operator through a predefined, step-by-step response procedure when an incident occurs, ensuring consistent, auditable, and rapid handling regardless of who is on shift.
Triggers preconfigured responses the instant an event occurs, unlocking emergency exits, activating lighting, and notifying first responders the moment a fire alarm is raised, without waiting on a human decision.
Displays all security assets and active incidents on a live, interactive map. Operators click a camera icon to pull up live video or a door icon to lock or unlock it remotely, with full geospatial context for every event.
Logs every event, action, and operator response automatically, creating a complete audit trail for post-incident analysis, compliance reporting, and performance review.
Lets security managers monitor systems, receive alerts, and respond to incidents from a smartphone or tablet, keeping control in hand from anywhere, not just the control room.
Analyses historical event data to identify patterns and forecast emerging risks, helping teams move from reactive monitoring to proactive threat prevention.
Centralises visibility into available security personnel, vehicles, and equipment, so operators can dispatch the right response assets to the right location, every time.
Applies live changes to rules, thresholds, and device configurations across all connected subsystems without interrupting operations or requiring changes to each system individually.
Continuously checks the status of every connected device, flagging a faulty camera, offline sensor, or failed component before it creates a coverage gap, not just after a security event occurs.
Runs on redundant servers, gateways, and databases with automatic failover, so a subsystem failure never interrupts control room operations or compromises business continuity.