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AI Traffic Monitoring & Vehicle Intelligence

Obzerve Traffic turns your existing cameras into an AI-powered traffic management system — reading license plates, counting and classifying vehicles, detecting red-light and parking violations, and monitoring parking occupancy in real time.

See More. Detect Smarter. Manage Traffic Better.
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Intelligent Traffic. Automated Enforcement.

Most roads, gates and parking areas already have IP cameras, but their footage is only reviewed after something goes wrong. Obzerve Traffic adds AI video analytics to those cameras so every vehicle is detected, identified and tracked as it moves through the scene.

The result is a single intelligent traffic management system for license plate recognition, vehicle analytics, traffic violation detection and smart parking — giving operators live alerts, searchable vehicle records and traffic flow data to improve mobility, security and day-to-day operations.

License Plate Recognition

License Plate Recognition (LPR/ALPR)

Automatic license plate recognition reads vehicle number plates in real time and links each read to the vehicle’s make, model and color. Every detection becomes a searchable record for access control, security investigations and traffic management.
  • High-accuracy plate reading — Recognizes plates as small as 200×100 pixels, including all standard plate formats.
  • Vehicle identification — Captures make, model and color alongside plate number.
  • Whitelist/blacklist management — automatic access and alerts.
  • Multi-lane monitoring — Reads plates across multiple lanes from a single deployment.
  • Direction detection — Records each vehicle’s direction of travel to separate entries from exits.
  • Vehicle metadata — Stores plate, timestamp, camera, direction and image for every vehicle.
sensitivity adjustment, area of interest, whitelist/blacklist rules.
Red Light Violation Detection

Red Light Violation Detection

Obzerve Traffic automatically detects vehicles that cross the stop line while the signal is red and records the evidence needed for enforcement.
  • Signal synchronization — Reads the live traffic light status so violations are judged against the actual signal phase.
  • Detection zones and stop lines — Stop lines and intersection boundaries are defined for each approach.
  • Multi-lane monitoring — Tracks every lane at the junction simultaneously.
  • License plate capture — Reads the plate of each violating vehicle.
  • Violation evidence — Saves vehicle details, timestamp and images for every event.
Signal integration, detection zones, and a grace period for yellow-to-red transitions.
Vehicle Analytics & Insights

Vehicle Analytics & Insights

Turn camera feeds into reliable traffic data. Obzerve Traffic counts, classifies and measures vehicle movement continuously, so planning, staffing and infrastructure decisions are based on real traffic patterns rather than manual surveys.
  • Vehicle counting — Counts vehicles crossing defined lines, with separate entry and exit totals.
  • Vehicle classification — Sorts vehicles into configurable categories for traffic mix analysis.
  • Speed estimation — Estimates vehicle speed and flags vehicles that exceed a set threshold.
  • Dwell-time analysis — Measures how long vehicles remain in a zone, such as gates, loading bays or drop-off points.
  • Directional traffic analysis — Shows how traffic flows through junctions, entrances and roads, including peak periods.

Counting lines, detection zones, vehicle categories, and speed thresholds.

Smart Parking Solutions

Smart Parking Solutions

AI-based parking management that shows which spaces are free, guides drivers to them and enforces parking rules automatically — improving space utilization and reducing congestion around parking areas.
  • Parking occupancy detection — Monitors each mapped parking space and reports whether it is free or occupied in real time.
  • Park Assist — Uses live occupancy data to guide drivers to available spaces.
  • No-parking enforcement — Detects vehicles stopped in designated no-parking zones.
  • Parking violation detection — Flags overstays and other breaches of the time limits and rules you set.
  • Space utilization insights — Reports on occupancy trends and peak demand to support capacity planning.

Space definition, occupancy thresholds, time limits, and violation rules.

Performance & Requirements

Detection & Recognition Performance

Fast & Accurate AI Recognition

  • 200×100 px plate accuracy
  • Real-time processing
  • Multi-vehicle tracking
  • 24/7 continuous operation

System Requirements

Simple Edge Deployment

  • RTSP IP camera support
  • Obzerve Edge Box included
  • Network + power required
  • Real-time dashboard sync

Camera Positioning Guidelines

Optimal Installation Setup

  • Angle: 15° – 30°
  • Height: 8 – 10 ft
  • Distance: Lens based
  • Lighting: Adequate / IR optional

Powerful Controls, Simple Interface

Configure every aspect of your traffic management system
LPR Settings:

  • Recognition confidence threshold adjustment

  • Character set and format validation (regional rules)

  • Multi-plate handling per vehicle

  • Plate cleaning and normalization rules

  • Image quality requirements

  • Whitelist import/export (authorized vehicles)

  • Blacklist import/export (restricted vehicles)

  • Bulk upload via CSV/Excel

  • Real-time list updates

  • Expiration date management for temporary access

Area of Interest (AOI):

  • Draw detection zones for plate capture

  • Multiple zones per camera (entry/exit lanes)

  • Inclusion/exclusion area definition

  • Zone-specific rules and sensitivity

Counting Lines:

  • Virtual lines for directional counting

  • Entry vs. exit differentiation

  • Multi-lane line configuration

  • Crossing direction detection

Parking Space Mapping:

  • Individual space definition

  • Zone-based grouping

  • Space numbering and labeling

  • No-parking zone marking

Dashboard Configuration:

  • Real-time metrics display

  • Historical trend charts

  • Custom date range reports

  • Vehicle type breakdowns

  • Peak time analysis

Report Generation:

  • Scheduled automatic reports

  • Custom report templates

  • Multi-format export (PDF, CSV, Excel)

  • Email delivery options

  • API-based data retrieval

Real-World Applications

See how organizations transform operations with Obzerve Traffiq

Smart City Traffic Management
Smart City Traffic Management

Detect congestion, accidents, and debris on highways instantly.

Corporate Campus Security
Corporate Campus Security
Real-time occupancy tracking for street parking and lots.
Shopping Mall Parking
Shopping Mall Parking
Automated vehicle classification and license plate recognition.
Logistics & Fleet Management
Logistics & Fleet Management
Optimize signal timing based on real-time vehicle counts.

Optimize Your Recognition Performance

Best practices for camera placement and configuration

Positioning for LPR

  • Mount cameras at 15-30 degree angle to vehicle approach

  • Height: 8-12 feet for optimal plate capture

  • Ensure plates are minimum 200×100 pixels when in recognition zone

  • Position to minimize headlight glare and shadows

Coverage Planning

  • One camera per lane for best accuracy

  • Capture zone: 15-20 feet for clear plate recognition

  • Consider vehicle speeds when setting capture distance

  • Overlap coverage for redundancy at critical points

Environmental Considerations

  • Adequate lighting for clear plate visibility (300+ lux recommended)

  • IR illumination for night operation

  • Weather considerations for outdoor installations

  • Reduce direct sunlight and backlight interference

Positioning for Vehicle Counting

  • Overhead mounting perpendicular to traffic flow

  • Height: 15-25 feet for wide area coverage

  • Bird’s-eye view reduces occlusion issues

  • Clear view of all lanes to monitor

Coverage Planning

  • One camera covers 2-4 lanes depending on height

  • Position to see vehicles throughout entire zone

  • Consider turns and merging lanes

  • Multiple cameras for complex intersections

Environmental Considerations

  • Account for shadows from buildings/trees

  • Weather-proof cameras for outdoor use

  • Consider lighting changes throughout day

Frequently Asked Questions

Browse through our FAQs for clear, concise answers to your most pressing questions.

What is Obzerve Traffic?
Obzerve Traffic is an AI-powered traffic monitoring and vehicle intelligence solution that adds real-time video analytics to existing IP cameras. It supports license plate recognition, vehicle analytics, traffic violation detection and smart parking.
AI license plate recognition automatically detects and reads vehicle number plates from camera footage and converts them into searchable vehicle records.
Obzerve Traffic is designed to recognize standard license plate formats supported by its configured AI models.
Yes. Obzerve Traffic is designed to work with RTSP-compatible IP cameras, with video processed through the on-site Obzerve Edge Box.
Recognition performance depends on camera placement, plate visibility, lighting, resolution, vehicle speed and scene conditions.

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