Face API for Face Recognition, Tracking, and Detection

Face API for Face Recognition, Tracking, and Detection

Face API by Banuba is a reliable facial detection and tracking technology for Entertainment, eCommerce, Security, Social Media, Automotive, and other domains. Businesses use it to engage users, make products safer, or increase sales.

Trusted by over 120 Brands worldwide

  • Detect, track, identify
    Face API is a simple way to integrate different face-related technology into a desktop, web, or mobile app. It is a part of Banuba Face AR SDK – a ready-made software module that includes face detection software, face tracking, rendering & scripting engines, and more. You can get only the features you need and quickly add them to your product, significantly decreasing the time-to-market and hedging risks.

Key features

  • Multi-face detection & tracking

  • Multiple platform support

  • Face analysis

  • AI face recognition

  • Face segmentation

  • Useful extras

Why Choose Banuba

Why Choose Banuba

Integrate a face detection API from one of the leading computer vision labs.

  • 9+ years in the face detection software business means the technology is reliable.
  • Trusted by major brands like Samsung and Gucci – a testament to the quality.
    100+ global companies show that our products fit a wide range of audiences. Banuba’s client success stories show it. 
  • AI face detection performs well even on low-end devices, letting you reach as many users as possible.
  • Patented technology means uniqueness and additional security.
  • Diverse datasets means Banuba’s face detection API works with people regardless of skin tone, age, gender, etc.

Banuba’s Face API Benefits

For Developers

- Easy integration on all supported platforms
- Extensive face recognition, tracking, detection functionality
- Detailed documentation and community support
- Works on still images as well as live & prerecorded videos

For Businesses

- Shorter time-to-market thanks to rapid integration
- Unique features to stand out from the competition
- Reliable face recognition model and liveness detection for secure access
- Tools for enhanced user experience

How to Integrate AI Face Detection

How to Integrate AI Face Detection

Banuba Face API supports Web, Windows, Mac, Android, iOS, Flutter, React Native, and Unity.

  1. Fill the form below to request a trial token.
  2. Follow the instructions in the email to start your 14-day free trial.
  3. Consult the documentation as needed.
  4. Enjoy your new facial recognition, detection, and tracking capabilities.

Technical Requirements

Face AR SDK supports HTML5, iOS, Android, Windows, macOS, Unity, Flutter and React Native. It runs on iOS 13+ / Android 6.0+ devices with a 1280x720 camera (recommended) at min 30 FPS

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Mobile

OpenGL ES 3.0+
Android 6.0, API level 23+
iOS 13+
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Desktop

OpenGL 4.3+ (4.1+ for MacOS)
Windows 8.1+
MacOS 10.13+
Ubuntu 18.04+
VC++ 15+ runtime available
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Web

WebGL 2.0+
Mobile: Chrome, FireFox, Safari, Samsung Browser.
Desktop: Chrome, FireFox, Safari.
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Use Cases of Banuba Face API

  • eCommerce and Retail

  • Entertainment & Social Media

  • Security

  • Automotive

FAQ
  • Face API is an intermediary piece of software that lets you integrate third-party face-related functionalities (face detection & tracking, filters, morphing, etc.) with your app. You don’t have to know the specifics of how the technology works, but you can still access it. APIs are often platform-specific, for example Android face detection API, iOS face recognition API, face detection API Unity, etc.

  • Face recognition API provides a number of controls that other applications can interact with and access specific features. The specific face recognition processes could differ, but developers integrating the API can work with them regardless through the API.

  • Using a face API in your app will let you access certain face-related features without developing them from scratch or knowing the specifics of how they work. It saves your time and money, as well as mitigates risks associated with long development.

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