AIEYE Smart Traffic Enforcement System

Redefining Smart Video Surveillance



Computer Vision-Driven Traffic Monitoring & Enforcement

Edge-enabled AI analytics designed for real-time intelligent transportation systems (ITS). Purpose-built for traffic engineers, system integrators, and government technical committees demanding compliance-grade, data-driven enforcement at scale.

Red-Light Violation Analytics

Signal-Phase Synchronised Video Analytics for Stop-Line Crossing Detection

Our red-light violation analytics module delivers signal-phase synchronised video processing that precisely detects stop-line crossing events in real time. By integrating directly with traffic signal controllers via relay interfaces or standardised APIs, the system correlates signal state data with vehicle trajectory analysis — ensuring every violation is captured with forensic-grade accuracy and timestamped evidence.

The module features advanced stop-line calibration tools that allow traffic engineers to define enforcement zones with pixel-level precision, adapting to any intersection geometry. Combined with integrated Automatic Number Plate Recognition (ANPR), each violation event is automatically linked to a vehicle identity, generating a complete evidence chain — from signal state, to crossing timestamp, to high-resolution plate capture — ready for adjudication workflows.

Signal Integration


Direct relay/API hookup with traffic signal controllers for real-time phase synchronisation and state verification.

Stop-Line Calibration


Pixel-accurate calibration tools enabling engineers to define enforcement zones across any intersection geometry.

ANPR Capture


Integrated Automatic Number Plate Recognition for instant vehicle identification tied to every violation event.

Timestamped Logging


Millisecond-precision violation logs with full audit trail for regulatory compliance and adjudication readiness.

Wrong-Way Detection Engine

Directional Vector Tracking for Real-Time Detection of Unauthorised Movement

The wrong-way detection engine employs directional vector tracking algorithms that continuously monitor vehicle movement trajectories against configured lane-flow parameters. When an unauthorised directional deviation is detected — whether on a multi-lane highway, urban one-way street, or controlled intersection — the system triggers instant alerts to the traffic control room, enabling rapid incident response.

Designed for deployment flexibility, the engine supports both high-speed highway environments and complex city intersection configurations. Built-in speed estimation further enriches event metadata, providing enforcement teams with comprehensive situational awareness. Every wrong-way event is captured with corroborating video evidence, vehicle trajectory data, and speed profiles — forming a robust dataset for post-incident analysis and compliance reporting.
Lane Direction Config


Per-lane directional flow configuration supporting multi-lane highway and urban intersection topologies.

Speed Estimation



Real-time speed profiling for enriched event metadata and incident severity classification.

Instant Alerts


Sub-second notification delivery to control room operators via dashboard, SMS, or API webhook.

Flexible Deployment


Optimised for highway corridors and dense city intersection environments alike.





Helmet & Seatbelt Detection Model

Deep Learning Models Trained for Compliance Monitoring Across Varying Lighting Conditions

This module leverages deep learning architectures purpose-trained on diverse, annotated datasets to detect helmet non-compliance on two-wheelers and seatbelt violations in passenger vehicles — across daylight, low-light, and infrared imaging conditions. Multi-object detection per frame enables simultaneous monitoring of multiple road users within a single camera field of view, maximising enforcement throughput without additional hardware investment.


Multi-Object Detection

Simultaneous per-frame analysis of multiple road users — riders, drivers, and passengers — for maximum enforcement coverage within a single camera view.
Night & IR Compatible

Optimised inference pipelines for low-light and infrared camera inputs, ensuring 24/7 enforcement continuity regardless of ambient lighting conditions.
Snapshot Evidence Storage

High-resolution violation snapshots auto-archived with tamper-proof metadata for regulatory compliance and legal admissibility in adjudication proceedings.
Configurable Thresholds

Adjustable confidence and violation sensitivity thresholds enabling traffic engineers to tune detection parameters per deployment context and regulatory requirements.




Vehicle Attribute Recognition

AI Classification Engine for Vehicle Make, Model & Colour Identification

Why It Matters

In modern ITS ecosystems, identifying vehicles extends far beyond licence plates. Our Vehicle Attribute Recognition engine leverages a large-scale trained dataset encompassing thousands of vehicle makes, models, and colour variants to classify every vehicle passing through the enforcement zone — enabling richer event metadata, faster investigations, and smarter traffic analytics.

Each classification output includes a confidence score, empowering downstream systems to apply automated filtering and prioritisation logic based on recognition reliability — a critical requirement for compliance-grade enforcement deployments.
Large Trained Vehicle Dataset


Extensive model library covering regional and international vehicle types, continuously updated through federated learning pipelines for evolving fleet compositions.

Confidence Score Reporting



Per-attribute confidence metrics (make, model, colour) enabling automated triage and human-in-the-loop verification for edge-case classifications.

Metadata Tagging


Structured metadata enrichment for every event — vehicle type, colour, make, model — enabling multi-dimensional search and cross-referencing across enforcement databases.

Searchable Event Database


Full-text and attribute-based search across the event repository, supporting rapid look-up by vehicle characteristics for investigations and forensic analysis.


Blacklist & Stolen Vehicle Monitoring

Real-Time Vehicle Watchlist Matching Using Integrated Database Synchronisation

The Blacklist & Stolen Vehicle Monitoring module delivers real-time watchlist matching by continuously cross-referencing detected number plates against synchronised law enforcement and regulatory databases. Powered by API-based database synchronisation, the system ensures that watchlists remain current across all deployment nodes — whether spanning a single corridor or an entire metropolitan enforcement network.

Upon a positive match, the system triggers instant alert notifications to command-and-control operators via the central monitoring dashboard, push notifications, or API webhooks to integrated dispatch systems. Multi-location deployment support ensures seamless coordination across jurisdictions, enabling enforcement agencies to respond within seconds of a flagged vehicle entering any monitored zone.

API Database Sync


Continuous synchronisation with national and regional law enforcement databases via secure, standards-compliant API interfaces.

Instant Alert Notification


Sub-second alert delivery to operators via dashboard, SMS, email, or API webhook upon positive watchlist match.

Central Monitoring Dashboard


Unified command-and-control interface with map overlays, live feeds, and event timelines for real-time situational awareness.

Multi-Location Deployment


Scalable architecture supporting distributed enforcement nodes across corridors, cities, and cross-jurisdictional networks.

Ready to Transform Your Traffic Enforcement Infrastructure?

AI Classification Engine for Vehicle Make, Model & Colour Identification

Ready to Transform Your Traffic Enforcement Infrastructure?

Deploy edge-enabled, compliance-grade AI analytics across your ITS ecosystem. Our team of traffic technology specialists is ready to walk you through a tailored demonstration aligned to your deployment requirements.

5


AI Modules

Integrated enforcement capabilities in a unified platform

24/7


Monitoring

Round-the-clock enforcement across all lighting conditions

<1s


Alert Latency

Sub-second notification for critical events and watchlist matches