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Traffic

Smart Highway

An imaging-intelligence and real-time situational-awareness platform for freeways and expressways. Through existing CCTV, the VLM continuously understands crashes, stalled vehicles, debris, wrong-way driving, pedestrian intrusion, smoke, fire, roadworks and other anomalies, converting footage that once required human viewing into structured information with time, location, event type and severity. The Digital Twin places roads, cameras and events in one 3D space so managers shift from 'finding the feed' to 'seeing events and road state'; the AI Agent adds natural-language queries, event summaries, historical search, SOP suggestions and incident tracking. The core of the product is not more monitoring screens but turning existing CCTV into an AI Sensor Network that understands the real world.

VLM output

An elevated CCTV camera overlooks a multi-lane divided highway in daylight, with heavy, densely packed but still-moving traffic in the near carriageway (including a heavy truck in the leftmost lane) and much lighter traffic in the opposite carriageway. Across the four frames vehicles advance steadily along both directions with no stoppage, collision, or lane obstruction; an overhead gantry and green directional sign are visible ahead.

  • Traffic DensityHeavy
  • Congestion LevelModerate
  • Traffic FlowMoving
  • Stopped Vehicle DetectedNo
  • Accident Or IncidentNo
  • Heavy Vehicles PresentYes
  • Shoulder Or Lane ObstructionNo
  • Pedestrian On RoadwayNo
  • Visibility ConditionsClear Daylight

Customer challenges

1

Hundreds of feeds, too few eyes; an event may show on one camera for seconds

2

Legacy IID detects objects, not situations: no severity, cause or handling status

3

Cameras are isolated; location, direction and surroundings are judged by hand

4

Slow vehicles, uncovered loads and dangerous goods in view are not recognised before they cause harm

5

Fog visibility, crosswind and flood depth cannot be read from video today

6

Event timelines, evidence and reports are compiled manually; footage is not searchable

Customer benefits

Reduced dependence on manual monitoring of large CCTV estates; the whole line covered round the clock

Shorter time from event to detection; tunnel slow-vehicle alerts lift overall throughput

From object recognition to event and situation understanding: not just that traffic is jammed but why

Managers grasp events without switching cameras one by one; site integration and scenario build-out in 30 days

Far less time compiling, searching and reporting events

Previously unsearchable footage becomes searchable, analysable road-event data

An AI perception base for future intelligent, automated road management

Key features

Slow Vehicle Detection

Detects slow-moving vehicles on the highway.

Unsecured Truck Load Detection (Uncovered Gravel Trucks)

Detects unsecured truck loads such as uncovered gravel trucks.

Specialized Vehicle Detection (Dangerous Goods)

Detects specialized vehicles carrying dangerous goods.

Adverse-Weather Trajectory Anomaly Detection

Detects abnormal vehicle trajectories in adverse weather.

Abnormal Congestion Point Detection

Detects abnormal congestion points along the corridor.

High-Risk Segment Driving Behavior (Weaving, Frequent Lane Change)

Detects risky driving behavior such as weaving and frequent lane changes in high-risk segments.

Incident Handling Status Tracking (Rescue Arrival to Reopening)

Tracks incident handling status from rescue arrival to reopening.

Road Hazard Detection (Open-Set Debris, Stalled Vehicles)

Detects road hazards including open-set debris and stalled vehicles.

Wrong-Way Driving & Emergency Vehicle Yield Detection

Detects wrong-way driving and failure to yield to emergency vehicles.

Fog Visibility Grading & Crosswind Anomaly Detection

Grades fog visibility and detects crosswind anomalies.

Flooding & Water Depth Grading

Detects flooding and grades water depth.

Work-Zone Traffic Control Compliance Check

Checks work-zone traffic control compliance.

VLM Road Event Understanding

Uses a vision language model to interpret road events.

Multi-Camera Event Monitoring

Monitors events across multiple cameras.

Natural Language Event Description

Describes events in natural language.

Road Digital Twin

Provides a digital twin of the road corridor.

Event Visualization

Visualizes events on the road view.

AI Agent Assistant

Provides an AI agent assistant for operators.

Incident Summary & Reporting

Summarizes incidents and generates reports.

Historical Event Search

Searches historical events.

Before & after

Before Operators scan feeds in rotation; only a small share watched at any moment After — with Linker AI Nexa 100% of integrated streams under continuous AI watch, 24/7
Before Events surface only when someone reports them After — with Linker AI Nexa Around 4–5 auto-detected events per stream per day across 7 event types
Before Slow vehicles in tunnels unnoticed until queues form After — with Linker AI Nexa Overall tunnel throughput +6%
Before Anomalies known when reported After — with Linker AI Nexa Awareness 8 minutes earlier, mitigation time -20%
Before Uncovered loads sampled by roadside checks, under 1% of trucks After — with Linker AI Nexa 100% of passing vehicles screened with violation confidence scored
Before Each event compiled and reported by hand After — with Linker AI Nexa Time per event report -70%, historical event search in seconds