Face Recognition can be applied to many applications. It provides the most benefits for applications which demand higher security, streamlined business operations, and improved marketing services.
When it comes to security, Face Recognition not only enhances control over who is entering and exiting a special area or building, but when combined with an access control system, also ensures that entry/exit is limited only to authorized personnel. When an unwanted or unknown individual appears, the system can send an alarm and notify the staff, aiding organizations in being more operationally efficient.
Face Recognition can also help businesses in need of rapid and reliable methods of recognizing and identifying key customers or clients. This makes business operations run more smoothly, and can provide customers with a better experience, which in turn can lead to an overall business improvement.
Dahua Face Recognition is based on Dahua deep learning algorithms. It automatically captures faces in real time, compares or adds faces to a pre-defined list, and then takes appropriate action such as generating an alert once the captured face matches a pre-defined face list in the database
With its advanced AI technology, the Dahua Face Recognition solution uses deep learning algorithms to ensure high accuracy. At the same time, Dahuaemploys a professional AI R&D team which is dedicated to optimizing recognition performance in various real scenarios encountered worldwide.
Dahua ranked #1 in a 2016 LFW test, which is a strong testament to its professionalism and achievements.
Dahua Face Recognition offers an up to ≥98% detection rate and ≥90% recognition rate.
Dahua’s Face Recognition solution is based on a RESTful API to access the Dahua DSS-Pro or 3rd party platform. Various solutions are currently available and Dahua’s knowledgeable support staff is ready to assist with your 3rd party API integration.
The Face Recognition solution can be applied to a wide range of applications:
Metro Stations
Shopping Malls
Airports
Streets
Businesses
Campuses
Main processor: Intel Xeon E3-1200 V5
Memory: 8GB
HDD: 1T
Network card: 2x1000Mbps
Supports alarm linkage and face trajectory
Main processor: 2* Xeon E5 2600 Series
Memory: 64GB
HDD: 5* 3T 3.5 inch SATA Hard disk
Network card: 2x1000Mbps
Supports face detection, face recognition, face image search, and database functions
1/2.8” 2Megapixel progressive scan STARVIS™ CMOS
H.265 & H.264 triple-stream encoding
50/60fps@1080P(1920×1080)
WDR(140dB), day/night(ICR), 3DNR, AWB, AGC, BLC Supports face detection