DAHUA 2 Megapixel Full HD AI Access ANPR
- 2 Megapixel Full HD AI Access ANPR Camera
- 1/2.8 inch 2Megapixel Progressive scan CMOS
- WDR, Day/Night(ICR), 3DNR,BLC, HLC
- H.265& H.264 dual-stream encoding Micro SD memory
- Powerful 2.7-13.5mm motorized lens and white light, ideal for monitor ANPR distance 3-8m
- IP67, and superior performance for outdoor applications
- Embedded with LPR algorithm inside the camera
- Vehicle data structuring: license plate recognition, vehicle size, vehicle color detection and etc.
Overview
The 2-megapixel CMOS full HD AI access ANPR camera with the features as high color restoration, low illuminance and build-in white light, can be used in parking and access control environment. In standard entrance scenario(refer to the installation guide), It can detect the vehicles from the video with over 99% capture rate, recognize the plate in low speed less than 40kmh and structure the vehicle data with the embedded deep learning algorithm. Besides, with whitelist inside, this camera can control the barrier open by itself
Function
High vehicle capture rateWith 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