GeoVision 610-LPR1200-000 GV-LPR1200 1 MP Network Camera

610-LPR1200-000 Includes Only:

• The GV-LPR1200 camera
• Screw Anchor x 4
• Screw x 4
• Washer x 4
• Torx Wrench
• Power Adapter (DC 12V, 5A)
• AC Power Cord
• Silica Gel Bag
• Adhesive tape for Silica Gel Bag
• Micro SD card
• Download Guide
• GV-LPR Camera Installation Guide

GV-LPR1200 is a 1 MP B/W network camera designed for recognition of reflective license plates on vehicles traveling at 200 km/h (124.27 mph) or less. With its multiple high power LEDs and intelligent IR, the camera is able to automatically adjust its shutter speed to the scene and produce clear license plate capture for one lane under low-light conditions. The motorized varifocal lens take the advantage of its motorized focus / zoom in that the user can remotely adjust the focus and zoom through the Web interface. It is weather proof (IP67) and also able to work in environments with temperatures ranging from -40°C (-40°F) to 50°C (122°F). GV-LPR1200 is capable of recognizing the license plate numbers with the built-in LPR processor. GV-LPR1200 can compare captured license plates either with a standalone database created on GV-LPR1200, or a database downloaded from the access control software GV-ASManager. When there is a match, GV-LPR1200 will open a gate or barrier.

Features:

• Megapixel B/W progressive scan CCD
• Motorized varifocal lens for remote focus / zoom adjustment
• Dual streams from MJPEG or H.264
• Up to 30 fps at 1280 x 720
• Maximum speed 200 km/h (124.27 mph)
• Built-in LPR processor to perform recognition
• Recognition for reflective License Plate only
• Standalone database
• Vandal resistance (IK10 for metal casing)
• Ingress protection (IP67)
• Maximum IR distance 20 m (65 ft)
• Built-in heater and fan
• Support for TV-out
• 10x optical zoom
• Two-way audio
• Recognized plate numbers export
• Support for I/O (2 in / 2 out)
• Defog
• Motion detection
• Text Overlay
• IP address filtering
• Supports iPhone, iPad, Android & 3GPP
• ONVIF (Profile S) conformant
• 30 languages on Web interface