2 Megapixel Full HD AI Access ANPR Camera
Overview
High vehicle capture rate
With build-in vehicle deep learning algorithm, in the standard entrance
scenario(refer to the installation guide), the camera can achieve very
high vehicle capture rate (≥99% for vehicle front face) from the video in
day and night. As the algorithm is based on vehicle model, the camera
can also capture the vehicle with dirty plate and even without plate
when the vehicle approaches or leaves. It is recommended to use the
camera to capture the vehicle front face and within 40kmh.
World-wide license plate recognition
The camera can provide the high performance license plate recognition
for world-wide. The majority countries and areas in Europe, South
America, Mid and South Asia, and etc., are supported. The AI ANPR
camera will provide a cutout snapshot of plate, the vehicle overview
image and also record the surveillance video
Metadata
With the leading deep learning algorithm, the camera can provide the
structuring data from the vehicles, including vehicle direction, vehicle
size and vehicle color detection (in daytime). These data can also be
overlay on the vehicle images
Embedded White List
Embedded with whitelist inside the camera, the camera can control the
barrier opened by relay out port if the plate number recognized is in
the whitelist. Support to import the list with a batch as much as 10000
records
Excellent image quality
Embedded with leading image processing and wide dynamic range
(WDR) technology, clear image of vehicle and plate detail can be
achieved even in the night and most intense contrast lighting conditions.
With True WDR (120Db), the camera can prevent the impact of head
light when the vehicles approach in night (The camera installation height
should between 1.2m~2m).
Adequate physical interface
The device supports external one channel HDCVI video stream input,
which can connect to an extra camera for video surveillance on the
entrance or behind the barrier.
3 ports to control the barrier and 3 port for the alarm input, which can
support traditional trigger methods like loop detector.