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License Plate Capture
Geovision GV-LPR2811-DL 2MP Deep Learning Bullet LPR Camera
Key Features:
- Built-in deep learning LPR processor for license plate recognition
- Double-lane recognition
- 1/2.8″ progressive scan super low lux CMOS
- Min. illumination at 0.04 lux
- Triple streams from H.265, H.264 and MJPEG
- Up to 60 fps at 1920 × 1080
- Motorized varifocal lens for remote focus / zoom adjustment
- Intelligent IR
- IR distance up to 22 m (70 ft)
- Day and Night function (with removable IR-cut filter)
- Wide Dynamic Range Pro (WDR Pro)
- DC 12V / PoE (IEEE 802.3af)
- Ingress protection (IP67)
- Vandal resistance (IK10 for metal casing)
- Standalone database
- Built-in micro SD card slot (SD/SDHC/SDXC/UHS-I, Class 10) for local storage
- Digital I/O (2 in / 2 out)
- Built-in heater and fan
- Recognize vehicles with speeds up to 100 km/h (62 mph)
- Two-way audio
- Recognized plate numbers export
- Defog
- Motion detection
- Text Overlay
- IP address filtering
- Supports iPhone, iPad, Android & 3GPP
- 31 languages on Web interface
- ONVIF (Profile S) compliant
- CE, FCC, LVD, RoHS compliant
Documentation
GVLPR2811-DL is capable of recognizing license plate numbers with its built-in deep learning LPR processor. GV-LPR2811-DL can compare captured license plates either with its on-the-edge standalone database, or the database stored at GV-ASManager, an access control system. When there is a match, GV-LPR2811-DL can grant access for the vehicle by opening a gate or barrier. GV-LPR2811-DL is a 2 MP, 2.5x zoom color network camera designed for recognition of non-reflective license plates on vehicles traveling at up to 100 km/h (62 mph). With its motorized lens, and intelligent IR, the camera’s zoom and focus can be adjusted remotely and can also automatically adjust its shutter speed to the scene to capture clear license plate images for single or dual-lane scenarios under low-light conditions. It adheres to IP67 and IK10 standards and is able to operate within a temperature range of -30°C (-22°F) to 50°C (122°F).
Specifications
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