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AI CAMERA VEHICLE CLASSIFICATION SYSTEM

AI Count 200

The AI Count 200 is an AI video based real-time traffic count and classification device for permanent station. 

Measured Quantities

  • FHWA 13 class classification

  • Measure speed

  • Per-vehicle data: count, class, speed

  • Lanes: 1 to 4 lanes.

 

Performance

  • Per-lane volume accuracy:

  • Typical: 98%-99%

  • Minimum: 96%

  • Classification accuracy:

  • Typical: 97%-99%

  • Minimum: 95%

Physical Properties

  • Counter Weight: 25 lbs. (11.3 kg).

  • Camera Weight: 10 lbs. (4.6 kg)

  • External Lights: 9 lbs. ( 4.1 kg)

  • Physical dimensions: 23 in. × 14 in. × 7in. (60 cm x 36 cm x 18 cm).

  • Stainless steel enclosure.

  • Resistant to corrosion, fungus, moisture

  • Vent and internal fan for air flow.

  • Liquid-Tight Electrical conduit for wiring.

  • Waterproof connectors for IR light.

  • Junction box for camera wiring.

  • Mounting for camera and IR lights.

Power

  • Power consumption: 220 W

  • Supply voltage:

    • 120 VAC

    • 12 VDC

  • 3 Pin plug

Communication Ports

  • Ethernet for camera connection.

  • Wi-Fi for remote access.

  • Cellular modem for cellular communication.

 

Configuration

  • Program auto start

  • Auto lanes search

 

Operating Conditions

  • Accurate performance in:

  • Rain

  • Snow

  • Wind

  • Dust

  • Fog

  • Sunlight

  • Shadow

  • Sunrise, sunset

  • Night with street light

  • Night without light (use internal IR light)

Manufacturing

  • Manufactured in the USA

  • 50-hours burn-in

 

Support

Training and tech support available from Leetron Vision LLC

 

Warranty

One-year warranty against material and workmanship defect ( Extended Warrant available after one year)

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WE DESIGN FOR YOUR NEEDS

At LeetronVision, we put our customers at the center of everything we do. Our AI camera vehicle classification system is designed with your needs in mind, providing a solution that is tailored to your specific requirements.

ENVIRONMENTALLY FRIENDLY

Our AI camera vehicle classification system is designed to be energy-efficient and environmentally friendly, making it a sustainable solution for traffic analysis and management.

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