Jitsi
Fully encrypted, 100% open source video conferencing for the privacy-conscious enterprise.
All-Scenario 1080p AI Video Communication and Seamless Device Collaboration
Huawei MeeTime represents the pinnacle of distributed communication architecture as of 2026, leveraging the Huawei '1+8+N' strategy. Built upon the HarmonyOS Distributed Soft Bus technology, MeeTime is not merely a video calling application but a cross-device connectivity layer. It utilizes advanced AI-driven video processing algorithms to deliver 1080p HD quality even in suboptimal network conditions. Its technical foundation allows for 'distributed camera' functionality, where a user can switch between a smartphone, tablet, smartwatch, or a Huawei Vision TV mid-call without latency spikes. The platform's 2026 market position is solidified as a primary alternative to mainstream conferencing tools for users within the Huawei ecosystem, focusing heavily on hardware-software synergy. It employs GPU Turbo technology for efficient rendering and AI noise cancellation to isolate vocal frequencies in crowded environments. With a focus on privacy and high-fidelity transmission, MeeTime integrates deeply with the device's NPU (Neural Processing Unit) to handle real-time video beautification, low-light enhancement, and virtual background segmentation locally on the edge, ensuring data security and reduced server-side latency.
Leverages the Distributed Soft Bus to use a secondary device's camera as the primary video feed during a call.
Fully encrypted, 100% open source video conferencing for the privacy-conscious enterprise.
Enterprise-grade video conferencing and webinar software optimized for SMB reliability and compliance.
Enterprise-grade conferencing and screen sharing powered by a revolutionary pay-what-you-can model.
Enterprise-grade video conferencing with high-definition Dolby Voice and robust administrative analytics.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Uses NPU-accelerated algorithms to brighten video frames in environments with less than 1 lux of light.
Enables both parties to draw and annotate on a shared screen in real-time with sub-50ms latency.
Optimizes network packet delivery through hardware-level prioritization to prevent frame drops.
Uses AI person tracking to digital-crop and pan the frame, keeping the speaker centered.
Neural network-based audio filtering that removes non-vocal environmental sounds.
Dynamic bitrate scaling that prioritizes facial resolution over background detail.
Difficulty explaining complex UI navigations to parents or clients.
Registry Updated:2/7/2026
Guide user in real-time
A single camera angle doesn't capture full body posture.
Arriving home during an important call and needing to free up hands.