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Background Subtraction

Background Subtraction

Cut out the visual noise, boost productivity & secure privacy in video calls by allowing users to automatically remove backgrounds.

Video Background Remover

Banuba brings you real-time background subtraction technology for you to empower your users with the best quality virtual background service. Users can automatically remove, change or augment backgrounds and enjoy more private and meaningful video communication.

  • Powered by Deep Learning
    Banuba’s video background editing tool leverages our proprietary background separation neural networks that are designed to accurately distinguish between body and background. We are committed to improving our algorithms to deliver maximum performance for our users in terms of movements and dynamic lighting.
  • Subtly Robust
    We believe that the purpose of foreground detection is to increase the social meaningfulness and productivity of videos. Our algorithms are designed to enhance a user’s background fully yet subtly in order to create a truly immersive experience.
  • Cross-Compatibility
    Our background model is fully compatible with Banuba’s Face AR SDK which provides augmented reality effects such as facial features and beautification. Explore cross-platform video communication possibilities leveraging combinations between our various solutions.

No Green Screens Needed

  • Industry-leading background segmentation accuracy
  • Available both in real-time and during post-processing
  • Supports both video and image formats
  • Freedom to toggle between portrait and landscape modes
  • Background Blurring (Bokeh effect)
  • Compatibility with other Banuba AR Solutions
  • Effects are applied on the end-user’s device with no data being sent to Banuba servers, ensuring an added layer of privacy

Immersive Applications

Ensure privacy and secure video communication, anytime and anywhere.

  • Video Conferencing

    Elevate video meetings to new levels of professionalism and productivity with our virtual background technology

  • Video Calling

    Make facetiming intimate and private with customizable background images.

  • Games

    Enhance camera-based social interactions between gamers with background enrichments. Increase your exposure to the gaming content sharing niche by providing users with full control over their creations.

  • Live Streaming

    Create the perfect surrounding environment and add video effects in real-time to improve engagement levels with streamed content.

  • E-Learning

    Incorporate a new and engaging gamification experience into distance learning with 3D backgrounds and Face AR effects.

  • Photo / Video Editing

    Achieve professional-grade video qualities time after time with an easy-to-use automatic background remover.

Technical Features & System Requirements

iOS

iOS 10.0+ iPhone 5s and later

Android

Android 5.1 (API level 21)

Unity

Any mobile platform: ARMv8
Why Banuba’s Technology

Why Banuba’s Technology

  • Proprietary computer vision technology developed fully in-house with published patents
  • Guaranteed user data privacy and GDPR compliance thanks to offline processing
  • Software designed and optimized specifically for end-user devices
  • Long-term commitment to delivering new features developed by our R&D team
  • 7-years as a market leader in Augmented Reality development
  • Trusted by global enterprise partners including Meta, Gucci, and Yandex
  • Ongoing and rapid product support from a dedicated team of specialists
  • One of the few commercially available background models
FAQ
  • One of the most common background subtraction methods is this. A specially-trained neural network locates a person in the picture by attributing every pixel either to a human being or to their surroundings. Then the background picture can be replaced by something else as the user wishes.
  • From a computer vision standpoint, the foreground includes elements of the picture closer to the viewer. The background is everything else.
  • This combines the process of foreground detection (locating all the important elements close to the viewer, usually moving ones) and replacing everything else. The background image can be a picture, a video, a GIF, or a 3D environment.
  • Simply put, by tracking the moving objects. These are assigned to the foreground. However, there are many possible background models.

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