Dahuasecurity.com uses cookies and similar technologies. Dahua uses functional cookies to ensure that its websites operate properly and analytical cookies to make your user experience optimal. Third-party cookies may collect data outside our websites as well. By clicking on " Agree" or by continuing to use this website, you give consent for the setting of cookies and the processing of personal data involved. More information on our cookie statement.

SOLUTIONS

Innovative Technology | Reliable Quality | End-to-End Service

Face Recognition

Title

Face Recognition

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.

Automatic Recognition and Actions

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

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.

Key Technologies

Advanced Algorithms to Increase Recognition Rate

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.

Open API for System Integrators

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.

Typical Applications

The Face Recognition solution can be applied to a wide range of applications:

  • Metro Stations

  • Shopping Malls

  • Airports

  • Streets

  • Businesses

  • Campuses

Deployable System Design

Typical Installations

Face Recognition cameras should be installed at the center of the entrance point and in front of the capture point at an angle, as follows:
  • parameter
    height
    Horizontal
    Camera
  • Recommended value
    2.25m
    6m
    15°
  • Recommended range
    2m~2.5m
    4m~10m
    0°~30°

Product Selection

  • DHI-DSS-Pro

    Main processor: Intel Xeon E3-1200 V5

    Memory: 8GB

    HDD: 1T

    Network card: 2x1000Mbps

    Supports alarm linkage and face trajectory

  • DHI-IVS-F7500

    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

  • DH-IPC-HF8231F

    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