Face Recognition

Face Recognition quickly detects faces in images, analyzes key facial points, obtains facial attributes, and implements precise face verification and retrieval. This service is perfect for customers working with identity verification, e-attendance, trace tracking, and customer attribute analysis.

The first 2,000 API calls are free (excluding Face LiveDetect and Face Label).

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Product Advantages
  • Accurate Recognition

    Accurately detects faces to recognize people with different ages, genders, and clothing styles in face verification and VIP identification scenarios. The face verification accuracy in Labeled Faces in the Wild (LFW) exceeds 99.6%.

  • Abundant Services

    Includes the Face Detection, Verification, and Retrieval sub-services and will open Dynamic Portrait, Age Recognition, and Feature Point Positioning in the future.

  • High Reliability

    Supports face retrieval, detection, and verification among numerous images in image libraries. The functions are stable with controllable latency after years of practices.

  • High Efficiency

    Provides easy-to-use APIs with specific functions and related documents with detailed descriptions.

Application Scenarios
  • Identity Verification

  • e-Attendance

  • Track Analysis

  • Customer Attribute Analysis

Identity Verification

Identity Verification

The Face Detection and Verification functions can be used for identity verification in scenarios such as airports and customs where consistency between a certificate and a person must be checked.

Advantages

Accurate Recognition

The recognition algorithms are robust, enabling accurate recognition in complex scenarios.

Ultra-low Latency

Face Recognition supports millisecond-level recognition of a single face.

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e-Attendance

e-Attendance

The Face Detection and Verification functions allow enterprise customers to implement e-attendance of employees and assist them in security surveillance.

Advantages

Accurate Recognition

The recognition algorithms are robust, enabling accurate recognition in complex scenarios.

Ultra-low Latency

You can obtain the similarity between the face to be detected and a single face in the library in milliseconds.

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Track Analysis

Track Analysis

Face Retrieval helps you search for N facial images that are most similar to the input one and displays the similarity degrees. You can perform track analysis based on the information about the returned images.

Advantages

Usefulness

Supports face retrieval by multiple criteria, and import and filtering of facial images with multiple attributes.

Real-Time Retrieval

Supports real-time retrieval. Images can be retrieved after being imported to the library.

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Customer Attribute Analysis

Customer Attribute Analysis

With face detection, verification, and retrieval technologies, shopping malls can accurately analyze a customer's age and gender and distinguish old and new customers, achieving precise marketing.

Advantages

Real-Time Analysis

The recognition algorithms have a low latency and allow you to analyze customer attributes in real time.

High Intelligence and Efficiency

Face Recognition intelligently and quickly analyzes customer attributes and provides references for marketing strategies.

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Functions

  • Face Detection

    Quickly detects faces in an image and returns their locations.

  • Face Verification

    Compares and analyzes the facial features of persons in two images to determine whether they are the same person.

  • Face Retrieval

    Searches the library for N facial images that are most similar to the one you input.

Face Detection

Face Verification

Face Retrieval

  • Dynamic Portrait

    (Coming soon) Provides the track analysis capability based on face information.

  • Face LiveDetect

    Detects the living figure in a video and the sequence of the figure's actions.

  • Face Label

    Recognizes and groups features of facial images to implement automatic labeling and label-based retrieval.

Dynamic Portrait

Face LiveDetect

Face Label

Usage Guides

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