Secondary development of virtual background function integration for Tomsk VB SDK

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Secondary development of virtual background function integration for Tomsk VB SDK

The VB SDK virtual background is an artificial intelligence effect that blurs and replaces the real background of the camera in real-time during video calls or live broadcasts.

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The virtual background function is suitable for

Video platform
Live streaming software
Educational software
Video production software

Virtual background is an artificial intelligence effect that blurs and replaces the real background of the camera in real-time during video calls or live broadcasts.

major function

Blurred background

Automatically blur the real background in the camera video source. Configure the strength of the blur function at runtime.

Replace Background

You can change the background to any custom image at runtime. Set the animation background. Add more fun to video communication.

Remove Background

Obtain video frames with transparent backgrounds. The segmentation mask can be used for any custom post-processing.

The speed and quality of image segmentation are amazing.

We are very close to the virtual backgrounds of Zoom and Skype.

Our virtual background SDK provides technical support for over 100 end users and over 20 companies.

A ready-made solution that can be pushed to the market in a short period of time

Easy integration

The virtual background API is simple to use and has detailed documentation. We provide code examples and help with integration.

Cross platform

The Virtual Background SDK is compatible with all mainstream platforms: Windows, macOS, iOS, Android, Web/WebRTC

Excellent quality and speed

We have optimized the machine learning model architecture to achieve the best balance between speed and quality. Can produce excellent results.

Customizable

Suitable for various application streams. Placing any type of video frame into the SDK can yield results. Using the original mask, you can do the post-processing yourself.

artificial intelligence technology

We have developed a video segmentation model and optimized the machine learning model using self collected and annotated datasets.

GPU acceleration

Supports DirectX, OpenGl, and Metal. At the same time, OpenVINO, WinML, and CoreML are also used, which can run on GPUs.

technical parameter

system requirements

Windows 10/11 (x64)
macOS 10.15 and newer
iOS 14 and newer
Android 5.0 (API 21) and newer

Supported languages

Win: C++ based SDK
macOS: C++ based SDK
iOS: C++ based with Objective-C wrapper
Android: C++ based with Kotlin wrapper
Web/WebRTC: JS + WASM based SDK

Frame Color Space

Win: bgra & nv12
macOS: bgra & nv12
iOS: bgra & rgba
Android: rgb bitmap & yuv420

Integrated processes

View trial version samples, documentation, and price list.
Integrate and evaluate the SDK into your software and applications, and evaluate its effectiveness in real-world scenarios.
Launch features to end users, sign contracts with customers, and deploy new features.