ANPR Vehicle Identification
License plate recognition and vehicle tracking across multiple camera feeds in real time.
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Call: +971 52 668 4165
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Mail: [email protected]
Traffic Monitoring & Vehicle Analytics For Safer Roads
Manually reviewing traffic footage doesn't scale past a handful of cameras. Codelabs builds AI video analytics that read vehicle movement, speed and license plates in real time — catching violations, congestion and unsafe patterns as they happen, not after the fact.
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Smart City System Integration
Connects with existing traffic lights and enforcement systems for automated reporting.
Why Choose Codelabs For Traffic Monitoring
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Vehicle speed, movement and license plate recognition tuned for real-world traffic conditions.
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Connects with traffic lights, enforcement units and existing municipal systems.
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Live density and flow analytics to support informed, predictive traffic planning.
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Violation records stored and organized automatically for digital enforcement workflows.
Real Work, Real Results
AI Video Analytics
Smart City Tech
Traffic & Vehicle Analytics
Codelabs built an AI and ANPR-based system that tracks vehicle movement, speed and license plates in real time, detects violations like wrong-way driving and lane breaches, and integrates with smart city infrastructure for automated enforcement and reporting.
Read Full Case Study
Our Traffic Monitoring Process
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We assess camera coverage across the roads, junctions or zones that need monitoring.
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Vehicle detection, speed estimation and plate recognition models configured for your camera angles.
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Connected to traffic lights, enforcement units and existing smart city infrastructure.
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Rollout with accuracy validation across camera feeds and ongoing performance monitoring.
What's Included
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ANPR Vehicle Identification
Automatic license plate recognition across multiple camera feeds.
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Speed & Violation Detection
Real-time identification of speeding, wrong-way driving and lane breaches.
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Smart City System Integration
Connected to existing traffic lights, enforcement units and municipal platforms.
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Automated Evidence Storage
Violation records captured and organized automatically for enforcement workflows.
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Congestion & Density Analytics
Live vehicle flow and density data to inform traffic planning decisions.
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Violation Heatmaps
Visual maps highlighting where violations and anomalies cluster.
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Predictive Traffic Reporting
Trend data that supports proactive planning, not just after-the-fact review.
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Central Monitoring Dashboard
Live analytics across every monitored junction or route from a single view.
What Does It Cost?
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Pilot / Single-Site$5,000 – $15,000
A single junction or route fitted with ANPR and traffic detection.
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Multi-Camera / Multi-Site$15,000 – $50,000
Multiple junctions or routes with centralized monitoring and enforcement integration.
Technologies We Use
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AnANPR Engines
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CvComputer Vision Models
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EdEdge AI Processing
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RtRTSP / ONVIF Cameras
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ApTraffic System APIs
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DbCloud Analytics Dashboard
Traffic Monitoring FAQs
Common questions about AI-based traffic and vehicle analytics.
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Can this work with our existing traffic cameras?
In most cases, yes. We assess your existing camera coverage and angles during the site assessment and configure detection models around what's already installed.
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How accurate is license plate recognition in real-world conditions?
Accuracy depends on camera angle, resolution and lighting, which is why we assess and tune the model to your specific junctions rather than deploying a generic default configuration.
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Can this integrate with our municipal or enforcement systems?
Yes. We build integrations with traffic lights, enforcement units and existing smart city platforms so violation data flows directly into your workflows.
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How is violation evidence stored?
Detected violations are automatically recorded and organized for evidence and reporting purposes, with retention and access configured to your requirements.
Let's Connect With Our Experts
Get valuable consultation from our professionals to discuss your project. We are here to help you with all of your queries.
