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Dual-Space Parking Guidance Camera JNT-VB02 1
Dual-Space Parking Guidance Camera JNT-VB02 1

Dual-Space Parking Guidance Camera JNT-VB02

A high-definition intelligent video bollard engineered for comprehensive on-street parking enforcement, guidance, and EV charging station management. By automatically tracking vehicle entry and exit, it enables seamless license plate recognition and fully online transaction processing to ensure 24/7 autonomous parking operations.
  • Dual-space smart monitoring – Equipped with a 2.34mm ultra-wide-angle lens for dual-space detection or a 4mm fixed lens for single-space tracking, delivering maximum visual coverage.
  • >99% AI license plate recognition – Embedded deep learning algorithms accurately identify numbers, colors, and types for a wide range of plates, including standard, EV, military, and cross-border plates.
  • Intelligent exception handling – Built-in edge computing automatically detects lens tampering, blockage, or smudges, and efficiently processes non-plated vehicle triggers to streamline field operations.
  • 24/7 reliability & low maintenance – Built with an IP66 rugged housing and integrated smart LED supplementary lighting to ensure high-accuracy performance day or night with minimal overhead.
Perfect for smart city operators, municipal parking authorities, and EV charging network providers seeking automated, high-precision on-street parking management systems.

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    Specification Category Parameter Details
    Sensor 1/2.8" CMOS (2MP)
    Standard Lens Dual-space: 2.34mm Fixed Wide-angle Lens
    Single-space: 4mm Fixed Lens
    Resolution 1920(H) × 1080(V)
    Operating Temperature -40°C to 70°C
    Power Supply 220V AC Mainboard 9–25V DC, Standard 12V/2A
    Mainboard Power Consumption ≤15W
    Protection Rating IP66
    Supplementary Light Standard LED Light Board
    Dual-space: 1 adjustable-brightness LED, power ≤2W
    Single-space: 2 adjustable-brightness LEDs, power ≤4W

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    Dual-Space Parking Guidance Camera
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    WhatsApp:+86 199 2771 4732
    Email:sylvia@joinetmodule.com
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