Traffic Intelligence

From perception to signal phase — autonomic traffic flow optimisation across the full stack.

SeeBlocx delivers the complete traffic intelligence loop: cameras perceive, AI understands, and signal controllers act. From raw video to violation detection, flow analysis, licence plate reading, and autonomic signal phase optimisation — every layer is integrated in one platform. No handoffs between separate systems, no manual signal tuning.

Capabilities

  • Full-stack: perception → analytics → signal control in one platform
  • Autonomic signal phase optimisation from real-time CV data
  • Violation detection (parking, no-helmet, wrong-turn, overstay, wrong-way, red-light)
  • Vehicle counting, classification & attribute analysis
  • Congestion detection & flow tracking
  • Licence plate recognition (ALPR)
  • Emergency vehicle detection & signal pre-emption
  • Speed estimation & enforcement
  • Queue length & occupancy measurement

Pipeline Blocks Used

Object Detection Object Tracking Classification ALPR Speed Estimation Zone Counting Line Crossing Zone Timing Attribute Recognition Alert Engine Signal Controller Interface
Detailed Breakdown

What's Inside

Specific capabilities within this domain

Violation Detection

  • Illegal parking
  • No-helmet riding
  • Wrong-turn / prohibited manoeuvre
  • Overstay — too long in a zone
  • Wrong-way / wrong-direction driving
  • Red-light running
  • Speed limit violations

Flow & Analytics

  • Vehicle counting by lane and direction
  • Traffic flow tracking & origin-destination
  • Congestion detection & level classification
  • Queue length measurement
  • Intersection occupancy & saturation
  • Historical trend analysis & reporting

Vehicle Intelligence

  • Vehicle classification (car, truck, bus, motorcycle, bicycle)
  • Attribute analysis (colour, make, model)
  • Licence plate recognition (ALPR / ANPR)
  • Emergency vehicle detection (rotation / strobe light)
  • Speed estimation per vehicle

Autonomic Signal Control

  • Real-time intersection sensor data from CV pipelines
  • Autonomic phase optimisation — no manual signal plans
  • Green wave corridor coordination
  • Emergency vehicle pre-emption from detection to signal
  • Integration with existing traffic controllers
  • Closed-loop: perception feeds control, control informs perception
Screenshots

See It in Action

From pipeline configuration to real-time analytics

ALPR pipeline with vehicle detection and plate recognition
License plate recognition in SeeBlocx

ALPR pipeline with vehicle detection and plate recognition

Pipeline editor with traffic intelligence blocks
Traffic pipeline configuration

Pipeline editor with traffic intelligence blocks

End-to-end traffic pipeline from camera to analytics
Traffic pipeline overview

End-to-end traffic pipeline from camera to analytics

Traffic intelligence is the flagship domain of SeeBlocx — and what sets it apart is the **complete loop from perception to signal control**. Most systems stop at analytics. SeeBlocx goes further: camera streams are perceived by AI, structured data drives real-time understanding, and that understanding feeds directly into intersection signal controllers for **autonomic traffic flow optimisation**.

Perception Layer

Every camera frame is processed through CV pipelines that detect, track, and classify vehicles, pedestrians, and cyclists. Violations — illegal parking, wrong-way driving, no-helmet riding, wrong turns, red-light running, overstay in restricted zones, speed violations — are identified and structured into events with timestamps, evidence images, vehicle crops, licence plates, and GPS metadata.

Analytics Layer

Vehicle counts by lane, direction, and class. Flow patterns, congestion levels, queue lengths, and occupancy are computed in real time. Historical trends feed reporting dashboards and urban planning models. Vehicle attributes (colour, make, model) and emergency vehicle detection (rotation/strobe lights) provide richer intelligence than any loop detector.

Autonomic Signal Control

This is the closing of the loop. Real-time perception data flows directly into traffic signal controllers. Phase timing adapts autonomically to actual demand — no manual signal plans, no periodic re-tuning. When an emergency vehicle is detected, signal pre-emption happens automatically from the same pipeline. Green wave corridors are coordinated across intersections. The system continuously learns from its own perception data to refine signal strategies.

Key outcome

One platform replaces separate solutions for traffic counting, ALPR, violation detection, and signal control. Cities get a unified, auditable system that closes the loop — from pixel to signal phase — across all intersections from a single control centre.

Interested in Traffic Intelligence?

Contact us to see how SeeBlocx can be configured for your specific traffic intelligence requirements.

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