AI-Powered Smart Traffic Monitoring
Intelligent Traffic. Automated Enforcement.
License Plate Recognition (LPR/ALPR)
Configuration Options:
Sensitivity Adjustment: Fine-tune detection threshold based on your environment
PPE Type Selection: Choose which equipment to monitor independently
Visualization Modes: Display presence, absence, or both on video overlay
Detection Zones: Set regions of interest for focused monitoring
Alert Thresholds: Configure confidence levels before triggering notifications
Time-Based Rules: Different requirements for shifts or operational hours
Key Capabilities
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High Accuracy Recognition: Reads plates from as small as 200×100 pixels
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Recognition of all standard plates
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Whitelist/Blacklist Management
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Multi-Lane Support
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Direction Detection
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Vehicle Metadata
Configuration Options
Sensitivity Adjustment
Area of Interest
Whitelist/Blacklist Rules
Red Light Violation Detection
Automatically identifies and documents vehicles that run red lights at intersections. Captures violation evidence including vehicle details, timestamp, and visual proof for enforcement purposes.
Key Capabilities:
Flame Detection: Identifies active fire in various lighting conditions
Smoke Recognition: Detects smoke clouds and ambient smoke particles
Reflected Light Analysis: Spots fire through reflected glow on surfaces
Multi-Zone Monitoring: Different sensitivity for different risk areas
Key Capabilities
Signal Synchronization
Multi-Lane Monitoring
License Plate Capture
Configuration Options
Signal Integration: Configure traffic light status input
Detection Zones: Define stop lines and intersection boundaries
Grace Period: Set tolerance time for yellow-to-red transitions
Vehicle Analytics & Insights
Key Capabilities:
Real-Time Detection: Immediate identification of fall events
Pattern Recognition: Differentiates falls from intentional movements
Incident Documentation: Automatic recording of fall events
Location Tracking: Pinpoints exact camera and zone of incident
Response Coordination: Routes alerts to appropriate personnel
Key Capabilities
Vehicle Counting
Vehicle Classification
Speed Estimation
Dwell Time Analysis
Configuration Options
Counting Lines
Detection Zones
Vehicle Categories
Speed Thresholds
Smart Parking Solutions
Key Capabilities:
Flame Detection: Identifies active fire in various lighting conditions
Smoke Recognition: Detects smoke clouds and ambient smoke particles
Reflected Light Analysis: Spots fire through reflected glow on surfaces
Multi-Zone Monitoring: Different sensitivity for different risk areas
Key Capabilities
Occupancy Detection
Park Assist
No-Parking Enforcement
Violation Detection
Space Utilization Reports
Configuration Options
Space Definition
Occupancy Thresholds
Time Limits
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
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
Smart City Traffic Management
Detect congestion, accidents, and debris on highways instantly.
Corporate Campus Security
Shopping Mall Parking
Logistics & Fleet Management
Optimize Your Recognition Performance
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
- Ask us
Common Questions
Browse through our FAQs for clear, concise answers to your most pressing questions.
What types of license plates can Traffiq recognize?
How many cameras can one Edge Box handle?
How accurate is the license plate recognition?
Can I manage whitelist and blacklist databases?
What's the difference between near-edge and cloud deployment?
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