Axle and length based classification using in-pavement piezo-electric sensors and inductive loops.

XL-1000-C       

 Classification (inductive loop & Class 2 piezo, axle-based classification)

The XL-1000-C is a 19" rack-mountable vehicle detector capable of monitoring up to 16 lanes of traffic using in-pavement sensors. It can be configured with 240VAC, 12VDC or 24VDC power supplies and supports options for UPS backup.

The XL-1000-C supports real-time host communications using either RS-232 serial or Ethernet TCP connections as well as optional FTP file server functionality for access to historical vehicle logs.

The XL-1000-C can be configured with up to 17 contact closure outputs for interfacing with PLC equipment. The XL-1000-C is also capable of classifying vehicles based on length and axle configuration according to Austroads 4 and 12 bin schemes respectively.

 

Datasheet

User Manual

Image-based detection for classification

VIDAR Axle Counting Camera

The Vidar Axle Counting Camera was designed to revolutionise vehicle monitoring and classification with reliable, non-intrusive detection.  This cutting-edge technology offers unparalleled accuracy and efficiency for applications including vehicle counting and classification, heavy vehicle monitoring, VMS warnings, and more.

 
This non-intrusive technology requires little to no maintenance once deployed.


Key Features:

  • Vehicle Categorisation: Accurately categorises vehicles based on the number of axles, lifted axles, and axle spacing

  • Side Scan Image Output: Generates full-length vehicle images for visual verification and detailed analysis

  • Wide Secondary Optics: Provides additional overview images and continuous video streams for comprehensive monitoring

  • Durable Industrial Design: IP67 and IK10-rated for weatherproof and vandal-resistant performance, ensuring long-term reliability

  • Easy Installation & Low Maintenance: Streamlined installation process with minimal upkeep, reducing downtime and operational costs

  • Flexible Integration via a REST API or automatically uploaded via the UI in real-time.

Datasheet

User Manual