ALPR Traffic Counting

The ALPR Traffic service combines traditional traffic counting with Automatic License Plate Recognition (ALPR). For each counted vehicle crossing your measurement cross-sections, the system captures and recognizes the license plate, providing detailed vehicle identification alongside traffic statistics.

Use Cases

• Origin-Destination (O-D) studies - Track vehicles between multiple measurement points

• Toll road analysis - Monitor vehicle passages with license plate evidence

• Traffic pattern research - Correlate license plate data with traffic flow

• Fleet monitoring - Track specific vehicle groups through measurement zones

• Border crossing analysis - Document vehicle movements between regions

Camera Requirements

Fixed/Stationary Cameras

Cameras mounted on poles, bridges, or permanent structures above or beside the road.

Daytime requirements:

• Resolution: Full HD (1920×1080) minimum

• Frame rate: 20-30 FPS

• Clear view of license plates (front or rear)

• Optimal angle: 15-45° to the road surface

Nighttime requirements:

• Infrared (IR) illumination recommended

• Fast shutter speed (1/500s or faster) to avoid motion blur

• Low-light capable sensor

• Individual camera calibration may be required

Note: Night-time ALPR accuracy depends heavily on camera setup. Contact us for professional assessment and camera configuration guidance.

Generated Reports and Data

The ALPR Traffic service produces comprehensive reports combining traffic counting with license plate recognition data.

Output Files

File	Description
History.csv	Complete vehicle history with all data fields
Alpr.csv	Filtered ALPR-specific data
Alpr0to500.xlsx, Alpr500to1000.xlsx, ...	Excel sheets with vehicle images and license plate crops (paginated for large datasets)
AlprOccurences.csv	License plate occurrence matrix grouped by time intervals
Quantity.csv	Standard traffic counting results
Report.docx	Generated measurement report

Data Fields

Each recognized vehicle record contains:

Field	Description
ALPR	Recognized license plate text
ALPR_score	Recognition confidence (0.0 - 1.0)
ALPR_type	License plate type classification
ALPR_region	Region/country code (e.g., "PL", "DE")
ALPR_lettercode	District/city letter code (e.g., "WA" for Warsaw)
ALPR_image	Cropped license plate image path
Image	Full vehicle image path

Recognition Statistics

The system calculates ALPR totals for quality assessment:

Metric	Description
Total vehicles	All counted vehicles in measurement
ALPR detected	Vehicles with license plates detected
ALPR read	Vehicles with successfully read plates
Region recognized	Plates with identified region codes
Letter code recognized	Plates with identified district codes

Excel Reports with Images

For detailed analysis, the system generates Excel files containing:

• Vehicle thumbnails in the Image column

• Cropped license plate images in the ALPR_image column

• All metadata fields for filtering and analysis

Note: Excel files are paginated (default 500 rows per file) to ensure stability with large datasets.

Accuracy

Condition	Expected Accuracy
Daytime, clear weather	85-95%
Nighttime with IR	70-85%
Rain/snow	60-80%
Dirty plates	50-70%

Overall measurement error (including traffic counting): ~10%

Processing speed: x3 real-time for 20 FPS video