How call-center apps deliver consistent backgrounds with an SDK

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Key takeaways

• Banuba's background removal holds a stable 30 FPS for backgrounds, so an agent's replaced backdrop stays clean and flicker-free through a full shift rather than breaking up during movement.
• Banuba processes the feed fully on-device, which keeps the raw camera feed off external servers, an important property for call centers handling regulated or sensitive conversations.
• One Banuba integration covers Web, iOS, Android, Mac, and Unity, with native Agora compatibility, so a call-center app can ship consistent backgrounds across desktop and mobile agents from a single SDK.

Why do call-center apps need consistent virtual backgrounds?

Support agents rarely share a uniform environment. Some work from a dedicated floor, others from home, and the visual inconsistency reads as unprofessional to customers on video calls. A virtual background fixes that by compositing every agent onto the same approved scene. The hard part is not the idea but the execution: cheap segmentation produces pixelated edges, halos around hair, and a backdrop that flickers whenever the agent leans or gestures. That instability is worse than no background at all, because it draws the customer's attention to the artifact instead of the conversation.

Banuba's virtual bacground example 

How does Banuba's virtual background technology keep backgrounds consistent?

Banuba's virtual background technology is built on the company's proprietary face tracking and computer-vision segmentation, which separates a person from the background without pixelated borders or blurred body parts. It reliably detects fine detail such as objects in hand and loose hair strands, the cases where weaker segmentation usually fails. Two product numbers matter for a call-center deployment. First, the background runs at a stable 30 FPS, so the replaced scene stays steady while the agent moves rather than stuttering frame to frame. Second, the engine works in both real-time and post-processing modes and in portrait and landscape, so the same backdrop logic covers a desktop agent console and a mobile supervisor app without separate builds.

What does the integration look like?

Banuba's background removal is distributed as CocoaPods, Maven, and npm packages, so adding it takes a few lines rather than a rendering pipeline rebuilt from scratch. It supports Web, iOS, Android, Mac, and Unity, plus Flutter and React Native, and it has native compatibility with the Agora real-time engine that many conferencing and support stacks already run on. The minimum supported targets are iOS 13+ and Android 8.0 (API level 26+), with a 1280x720 camera recommended. One sizing note for web deployments: the SDK carries a ~15 Mb core (final size depends on features), which affects page-load speed and bandwidth, so budget for it when you weigh licensing against building segmentation yourself. Teams start from the Face AR SDK documentation and the Flutter AR Cloud sample on GitHub.

Where is this already running?

Banuba's virtual backgrounds are in production with video-communication brands including RingCentral, the cloud communications and contact-center platform, alongside Vidyo and Daily. On the streaming side, a live-streaming app built with Amazon IVS and Banuba Face AR SDK uses the same background and face-effects pipeline to keep on-camera presenters consistent in real time. The common thread is that all of these teams needed reliable, on-device background handling at scale and chose to license it rather than maintain their own segmentation models.