AI & Video Intelligence · Intelligent Traffic Management

Intelligent Traffic Management: Transform Roadside Cameras Into Traffic Intelligence

Traffic environments generate continuous video and vehicle data. MLT’s TruSight platform applies AI video intelligence specifically to traffic management and enforcement workflows.

Solution TruSight · ANPR · Violations · Speed · e-Challan 5 min read
Busy Indian urban junction at golden hour with a roadside camera pole and AI boxes classifying a car, bus, auto-rickshaw, two-wheeler and truck, with a lane count panel

Transform Roadside Cameras Into Traffic Intelligence

Traffic environments generate continuous video and vehicle data.

MLT’s TruSight platform applies AI video intelligence specifically to traffic management and enforcement workflows, turning roadside and junction cameras into vehicle detections, identifications, events and evidence. It is part of MLT’s wider AI & Video Intelligence portfolio.

ITMS at a glance
SolutionIntelligent Traffic Management System (ITMS)
PlatformTruSight
EnvironmentsJunctions, Flyovers, Highways & Districts
Core TechnologiesVehicle Detection · ANPR · Classification · Speed
WorkflowVehicle → Detection → Identification → Event → Evidence → Authorized Workflow
Integrationse-Challan & Centralized Monitoring
DeploymentsTheni District · GD Naidu Flyover · Kallakurichi–Salem Highway
Solution highlights
0
Traffic capabilities
0
Workflow stages
0
Real-world deployments
ANPR
Vehicle identification
Speed
Spot & section
Evidence
For authorized workflows

Capabilities

Depending on deployment, capabilities can include:

What TruSight ITMS can do
Traffic SurveillanceRoads & junctions
Vehicle DetectionEvery lane, every vehicle
ANPRNumber plate recognition
Vehicle ClassificationCar, bus, truck, two-wheeler
Traffic Violation DetectionConfigured violations
Speed IntelligenceSpot speed insights
Section-Speed MonitoringAverage speed A to B
Evidence ManagementImages, clips & metadata
Centralized MonitoringOne command view
e-Challan IntegrationVerified cases onward
Traffic Event ManagementLog, review & act

Vehicle Detection, ANPR & Classification

Each vehicle can be detected, classified by type and, where ANPR is deployed, identified by its number plate, with images and time stamps attached to the record.

Roadside ANPR camera with an infrared illuminator on a pole at night, with an inset capture showing a vehicle front, class, colour and timestamp
ANPR at night: infrared-assisted capture with vehicle class, colour and time recorded

Traffic Violation Detection

Configured violations, such as signal jumping, helmet non-compliance or wrong-way movement, can be flagged automatically as traffic events for review.

Signalised junction camera view with AI flags for a red-light jump by a car, a two-wheeler rider without a helmet and a wrong-way vehicle, with the stop line highlighted
Violation detection: red-light jump, no helmet and wrong-way movement flagged at a junction

Speed Intelligence & Section-Speed Monitoring

Speed can be measured at a point or as an average over a defined section between two camera locations, which reflects how a vehicle is driven along the whole stretch.

Aerial view of an elevated flyover with entry and exit camera gantries, a measured section between them and a card showing a section average speed of 78 km/h against a 60 km/h limit
Section-speed monitoring: average speed calculated between entry and exit camera points

Centralized Monitoring & Traffic Event Management

Camera feeds, maps and traffic events come together in a central command view, where operators can see what is happening across the network and manage each event.

Traffic monitoring command centre with operators in front of a video wall of junction camera feeds, a city map with camera pins and a traffic event queue
Centralized monitoring: junction feeds, camera map and traffic event queue in one command centre

Typical Workflow

From the moment a vehicle enters the camera view to the point an authorized team acts, each stage adds information.

Vehicle to authorized workflow
1
VehicleEnters camera view
2
DetectionVehicle & class
3
IdentificationANPR where deployed
4
EventViolation or traffic event
5
EvidenceImages, clip & metadata
6
Authorized WorkflowReview, verify & act
Traffic violation evidence package on a monitor with three sequential frames, a number plate close-up, violation details and buttons to verify and send to e-Challan
Evidence management: a violation package is verified before being sent onward to e-Challan
Manual traffic monitoring
  1. Operators watch many camera feeds
  2. Violations noticed inconsistently
  3. Evidence gathered by hand
  4. Slow handover to enforcement
TruSight ITMS
  1. Vehicles detected and classified
  2. Configured violations flagged as events
  3. Evidence packaged automatically
  4. Authorized review and verification
  5. e-Challan integration where deployed

Enforcement decisions remain with the authorized personnel responsible for reviewing and verifying each case.

Real-World Deployments

MLT has real-world experience implementing TruSight in traffic environments, including deployments involving Theni District, GD Naidu Flyover in Coimbatore and the Kallakurichi–Salem highway.

State highway through open countryside at dusk with a solar-powered roadside camera pole and AI overlays showing vehicle classification and speeds
From city junctions and flyovers to open highways

Roadside Cameras, Turned Into Traffic Intelligence

By applying AI video intelligence to traffic environments, TruSight helps authorities move from watching camera feeds to working with detected vehicles, identified events and ready evidence, with authorized people making the final call.

From Camera. To Intelligence. To Action.

Planning an intelligent traffic project?

Whether you need junction surveillance, ANPR, violation detection, section-speed monitoring or e-Challan integration, the right camera placement, AI configuration and workflow design are critical.

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Share a few details about your roads, junctions and enforcement needs, and our team will help design the right traffic intelligence approach.

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