GeoVision GV-LPR2811-DL 2 Megapixel Full HD Network Camera – Color

The GeoVision GV-LPR2811-DL is a premium 2 megapixel Full HD network camera purpose-built for license plate recognition (LPR) within modern access control and security ecosystems. Featuring a built-in deep-learning LPR processor, this color camera reads license plates with impressive accuracy and speed, making it ideal for parking facilities, corporate campuses, gated communities, and any environment that requires automated vehicle verification. With seamless compatibility to on-board databases and GV-ASManager, the GV-LPR2811-DL streamlines vehicle entry, enhances security, and reduces the need for manual checks, all while delivering crisp, reliable imaging under a range of lighting conditions.

• Advanced license plate recognition on device: The GV-LPR2811-DL is equipped with a dedicated deep-learning LPR processor that can detect and read license plate numbers directly in the camera unit. This on-device intelligence enables fast plate capture, high recognition accuracy, and rapid decision-making at entry points, helping facilities control access efficiently and securely without relying on continuous server processing.
• Flexible database integration for access control: Plates captured by the camera can be verified against an on-edge standalone database or synced with GV-ASManager — GeoVision’s centralized access control system. This dual-path approach gives you the freedom to deploy the camera in standalone mode for self-contained verification or integrate it into a larger security workflow with centralized management and logging for audit trails.
• High-quality 2MP Full HD color imaging: Delivering crisp, color-rich video at 1080p, the GV-LPR2811-DL provides clear plate capture across varying lighting and environmental conditions. Its imaging capabilities are paired with thoughtful exposure and contrast handling to optimize plate readability, even as headlamps, glare, and shadows shift throughout the day.
• Designed for reliability in real-world deployments: This camera is built to support continuous operation in access-control scenarios. By combining robust image processing with stable network delivery, it minimizes misreads and supports consistent plate verification—helping reduce bottlenecks at gatehouses and entrances while maintaining a secure, auditable record of vehicle activity.
• Integrated security ecosystem and easy management: As part of GeoVision’s GV software ecosystem, the GV-LPR2811-DL works with familiar tools for device configuration, firmware updates, and monitoring. Its compatibility with GV-ASManager and related security solutions makes it straightforward to extend license plate recognition capabilities across multiple sites, lanes, and entry points while maintaining centralized oversight.

Technical Details of GeoVision GV-LPR2811-DL 2 Megapixel Full HD Network Camera - Color

• Camera type: Network IP camera with built-in deep-learning LPR processor for license plate recognition
• Resolution: 2 MP Full HD (1920x1080)
• License plate recognition: On-device deep-learning LPR engine capable of comparing captured plates against an on-edge database or GV-ASManager
• Database options: On-edge standalone database or GV-ASManager integration
• Software ecosystem: Geovision GV platform compatibility for streamlined management and analytics

How to install GeoVision GV-LPR2811-DL

• Plan device placement at vehicle approaches where license plate capture is optimal, ensuring a clear line of sight to approaching plates and minimal occlusion by vehicles or environmental elements.
• Connect the camera to your network and power supply using the standard installation method for network cameras. Configure network settings so the GV-LPR2811-DL can communicate reliably with the chosen database path (on-edge or GV-ASManager).
• Access the camera’s management interface through your GeoVision software or web portal. Enable LPR mode and confirm that the built-in deep-learning processor is active for license plate recognition.
• Set up database options: either configure the on-edge standalone database for local plate matching or connect to GV-ASManager for centralized access control and logging. Ensure user permissions, access rules, and alert policies are aligned with security requirements.
• Calibrate and test: run a series of plate captures under different lighting and traffic scenarios. Adjust camera angle, exposure, and any region-specific settings to maximize plate readability and minimize false positives. Monitor recognition results and refine thresholds as needed for reliable operation.

Frequently asked questions

• Q: What is the GV-LPR2811-DL designed to do?
  A: It is a 2 MP Full HD network camera with a built-in deep-learning license plate recognition processor, designed to capture and recognize vehicle plates for automated access control and security workflows.
• Q: How can license plate data be used with GV-ASManager?
  A: Plates captured by the camera can be compared against a local or centralized database as part of GV-ASManager, enabling automated access decisions and comprehensive event logging across sites.
• Q: Can this camera operate with other GeoVision systems?
  A: Yes. The GV-LPR2811-DL is built to integrate within GeoVision’s GV software ecosystem, allowing you to extend LPR capabilities alongside other GeoVision devices and analytics.
• Q: What kind of environments is this camera suited for?
  A: It is well-suited for entry lanes in parking facilities, gated communities, corporate campuses, and other locations where automated vehicle verification enhances security and throughput.
• Q: Where can I find the latest specifications and compatibility information?
  A: Refer to the official GeoVision product pages and the Synnex EC specifications listing for the most up-to-date technical details and integration notes.

Note: This description emphasizes the core capabilities and use cases of the GV-LPR2811-DL based on the provided product data. For precise specifications, firmware versions, and compatibility, consult the official GeoVision materials and the Synnex/EC listing for your region.