MediaPipe ships pre-built, optimised models for common real-time tasks so teams skip training and integrate quickly. Its selfie segmentation drives video-call background blur; its face and pose modules power filters and analytics, all running client-side with low latency.
The book · Volume 6 of 7
AI for Video: A Complete Guide to Intelligence in Video Products: From Models and Inference to Computer Vision, Speech, Search, and Generative Video
MediaPipe gives ready on-device pipelines for segmentation, face and pose, and the limits appear on low-end phones and odd lighting. This volume covers MediaPipe within its computer vision section: segmentation, face landmarks, pose and hand tracking, and deployment topologies for browser and mobile. Written by Nikolay Sapunov, CEO at Fora Soft.
Using MediaPipe for background blur or pose and hitting performance limits?
Tell us your target devices, and we will profile MediaPipe on them and propose model and pipeline changes with frame-rate and quality numbers. 250+ video products shipped since 2005.
