Geovision 55-LPRPT-004 4-Channel License Plate Recognition Module
Overview
The Geovision 55-LPRPT-004 is a dedicated 4-channel License Plate Recognition (LPR) processor designed to extract and match vehicle plate data across four independent lanes in real-time. Deploy this module when you need automated plate detection and database comparison without manual intervention — typical scenarios include toll plazas, parking access control, border security, and perimeter monitoring where rapid vehicle identification and access decisions drive operational efficiency. The unit operates on single PoE (802.3af) power, eliminating the need for separate power supplies and reducing installation complexity on standard network infrastructure.
Compatibility
The 55-LPRPT-004 integrates with Geovision GV-LPR series cameras and existing Geovision surveillance ecosystems. It accepts video streams from up to four camera inputs and performs plate detection and recognition without requiring external processing hardware. The module supports ONVIF-compliant systems, enabling integration with standard VMS platforms for centralized management, alerting, and live database queries. Confirm camera model compatibility with your Geovision system administrator before deployment, as LPR accuracy depends on camera positioning, lens focal length, and mounting height relative to the traffic lane.
Installation Notes
Mount the 55-LPRPT-004 in a climate-controlled equipment room or cabinet adjacent to your network core. Connect up to four camera feeds via standard video inputs, then wire PoE from a compatible switch or injector rated for 802.3af power delivery (13W maximum draw). Ensure camera lanes are physically aligned and calibrated — misalignment reduces plate capture accuracy. Position cameras perpendicular to traffic flow at 20–40 degrees downward pitch for optimal plate angle. Test plate recognition in your target lighting conditions (daylight, night, overcast) before full deployment, as recognition quality degrades significantly under poor lighting or high vehicle speed variations.
