NVR on Mi&Bee Blog

MiBeeNvr v0.6.0: Timelapse + Transcoding UI + ONVIF Enhancements + Documentation Restructure

Fri, 05 Jun 2026 00:00:00 +0000

After running continuous recording for a few weeks, storage became the first bottleneck. A single 1080p camera writes tens of GB per day — with a 30-day retention policy, a 1TB硬盘 is mostly consumed. Many community members reported the same issue, and during discussions, the ideas of timelapse and transcoding storage gained the most traction: most of the time the画面 is static, and compressing it with timelapse requires only 5% of the space for the same duration.

MiBeeNvr v0.6.0's Test Machines: Three Camera Projects Updated in Sync

Fri, 05 Jun 2026 00:00:00 +0000

The concurrently released MiBeeNvr v0.6.0 brought major features like timelapse, video transcoding, and ONVIF enhancements. Unit tests alone are far from enough — the full workflow must be tested against real camera hardware. To provide reliable test machines for this release, three camera projects were updated on the same day, June 5th — both to supply testing environments for the NVR and to solve some typical embedded development engineering problems along the way.

MiBeeNvr v0.5.0: Full ONVIF Protocol Support + Hardware Transcoding + rpi-cam Co-development

Sat, 30 May 2026 00:00:00 +0000

Less than a week after v0.4.0, another 31 commits were pushed. v0.5.0 is a feature-dense release: full ONVIF protocol support (covering all five major services: Device/Media/PTZ/Imaging/Event), hardware transcoding (H.265 → H.264), and recorder reconnection optimizations. 127 files changed, +24,509 / -730 lines. See the full changelog at GitHub Release Notes.

If you haven’t seen the previous versions, check out MiBeeNvr Introduction and v0.4.0 Technical Post.

Full ONVIF Protocol Support

v0.4.0 already had ONVIF device discovery and stream URL retrieval, but that was just the tip of the ONVIF iceberg. v0.5.0 completes the core services of ONVIF Profile S:

MiBeeNvr v0.4.0: Audio Recording Finally Arrives, Auto-Recovery When Cameras Go Down

Mon, 25 May 2026 00:00:00 +0000

Previously, MiBeeNvr’s MP4 files only had a video track — playback was silent. v0.4.0 fills this gap with audio recording. It also adds more practical camera health monitoring and auto-recovery.

Recordings Now Have Sound

Each camera can independently enable audio recording:

yaml


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cameras:
 - id: "front-door"
 name: "Front Door Camera"
 protocol: "rtsp"
 encoding: "h264"
 audio_enabled: true

Supported audio formats:

MiBeeNvr v0.4.0: Audio Recording Pipeline and Multi-Layer Health Monitoring Architecture

Mon, 25 May 2026 00:00:00 +0000

After v0.3.1 shipped, I put in another 196 commits. v0.4.0 is a feature-dense release: audio recording pipeline, multi-layer health monitoring engine, HLS/LL-HLS playback stability optimization, and a major UI redesign. For the full changelog, see GitHub Release Notes.

The previous post covered v0.3.x’s multi-protocol streaming and Xiaomi camera support (v0.3.0 Tech Post). If you haven’t read the first post, start with MiBeeNvr Introduction.

Audio Recording: From Silent to Sound

In the v0.3.x era, recorded MP4 files only had a video track. v0.4.0 introduces a complete audio capture and muxing pipeline, supporting AAC audio from RTSP cameras and G.711 audio from ONVIF/Xiaomi cameras.

MiBeeNvr v0.3.1: Multi-Protocol Streaming and Native Xiaomi Camera Support

Fri, 22 May 2026 00:00:00 +0000

A lot of work went into the releases after v0.2.0. v0.3.x brings several major updates: native Xiaomi camera support, recording archiving, multi-protocol streaming architecture (WebRTC/HTTP-FLV/RTMP/SRT/LL-HLS), and a wave of security hardening. The architectural evolution from external dependencies to built-in implementation, from single protocol to full protocol support, was much more曲折 than I expected.

The previous post introduced v0.2.0’s 15 new features (v0.2.0 Update). If you haven’t read the first post, start with MiBeeNvr Introduction. v0.3.0 focuses on deep Xiaomi camera integration, and v0.3.1 builds on that with a complete multi-protocol streaming architecture. For the full changelog, see GitHub Release Notes.

MiBeeNvr v0.3.0: One-Click Xiaomi Camera Integration, Recordings Never Lost

Wed, 20 May 2026 00:00:00 +0000

Got Xiaomi cameras at home? Want to keep your recordings on your own storage instead of relying on the cloud?

As someone with several Xiaomi cameras at home, I always had one frustration: every time I wanted to check the footage from my doorbell camera, I had to log into Xiaomi Cloud, wait for ages while it loaded, and it would often just spin. Plus, cloud storage charges by the day — it adds up over the month. And if you swap cameras, all your old recordings are gone. Pretty frustrating.

MiBeeNvr v0.2.0 Update: Docker Deployment, HLS Streaming, Recording Merging, and a Complete Installation Guide

Tue, 12 May 2026 00:00:00 +0000

The previous article introduced MiBeeNvr’s basic features and design philosophy. It’s only been a week since v0.1.0, and v0.2.0 follows right behind. This update is substantial — 15 new features, some I needed myself, others from community feedback.

This article covers three things: what’s new in v0.2.0, how to deploy from scratch, and some practical tips for real-world use.

v0.2.0 New Features Overview

This update has a lot of content. Here’s a breakdown by category:

MiBeeNvr: A Lightweight Home NVR System I Built

Wed, 06 May 2026 00:00:00 +0000

I have several cameras at home — a few Xiaomi cameras, some DIY ESP32 cameras, and multiple Raspberry Pi CSI cameras. I’d been using cloud storage solutions, but I was never comfortable with them: vendor lock-in, network dependency, and the costs add up. So I decided to build my own NVR system, called MiBeeNvr.

Why Build MiBeeNvr

To be honest, I was never satisfied with existing cloud storage solutions. Take Xiaomi cameras, for example. By default, you can only view them through the Mi Home app. Recordings are either stored on an SD card (limited capacity, frequent plugging/unplugging) or in the cloud. Cloud storage costs tens of dollars per month, and there’s the privacy concern — you never know when the manufacturer might use your video data for AI training or sell it to third parties. Not to mention vendor lock-in — switching platforms is nearly impossible.