Moonfire NVR, a security camera network video recorder
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Scott Lamb 0236ab8d64 add live stream viewing to React prototype
It's a start. It can display several streams at once, which is nice.
There are lots of opportunities for improvement:

*   it doesn't keep the videos approximately in sync.
*   it accumulates extra buffering, drifting behind live. This is
    particularly noticeable when it's paused and played again; it can
    be several seconds before it jumps to after the break.
*   it always uses the sub stream rather main. I'd prefer it support
    "auto" (use main if the viewport is larger than the sub stream and
    there's sufficient bandwidth), "main", or "sub".
*   it has a kludgy heuristic where it throws away everything buffered 5
    seconds before the current timestamp. It should throw away
    everything before the current GOP instead, but I need to alter the
    API so it can easily know when that is.
*   it can't tell you when a camera connection is down. This needs an
    API change also.
*   it'd be nice to quickly double-click on a stream to view only it,
    then double-click again to go back to the multi-pane view.
*   it doesn't allow you to zoom in on part of the video. This would be
    nice particularly when viewing 4k video streams on small screens.
*   it has only four preconfigured layouts that subdivide a 16x9
    viewport. You have to choose every camera every time. It'd be nice
    to both allow more flexibility and have more memory.

React prototype: #111
live stream: #59
2021-03-26 16:45:47 -07:00
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CI

Introduction

Moonfire NVR is an open-source security camera network video recorder, started by Scott Lamb <slamb@slamb.org>. It saves H.264-over-RTSP streams from IP cameras to disk into a hybrid format: video frames in a directory on spinning disk, other data in a SQLite3 database on flash. It can construct .mp4 files for arbitrary time ranges on-the-fly. It does not decode, analyze, or re-encode video frames, so it requires little CPU. It handles six 1080p/30fps streams on a Raspberry Pi 2, using less than 10% of the machine's total CPU.

So far, the web interface is basic: a filterable list of video segments, with support for trimming them to arbitrary time ranges. No scrub bar yet. There's also no support for motion detection, no https/SSL/TLS support (you'll need a proxy server, as described here), and only a console-based (rather than web-based) configuration UI.

screenshot

Moonfire NVR is currently at version 0.6.2. Until version 1.0, there will be no compatibility guarantees: configuration and storage formats may change from version to version. There is an upgrade procedure but it is not for the faint of heart.

I hope to add features such as salient motion detection. It's way too early to make promises, but it seems possible to build a full-featured hobbyist-oriented multi-camera NVR that requires nothing but a cheap machine with a big hard drive. I welcome help; see Getting help and getting involved below. There are many exciting techniques we could use to make this possible:

  • avoiding CPU-intensive H.264 encoding in favor of simply continuing to use the camera's already-encoded video streams. Cheap IP cameras these days provide pre-encoded H.264 streams in both "main" (full-sized) and "sub" (lower resolution, compression quality, and/or frame rate) varieties. The "sub" stream is more suitable for fast computer vision work as well as remote/mobile streaming. Disk space these days is quite cheap (with 4 TB drives costing about $100), so we can afford to keep many camera-months of both streams on disk.
  • off-loading on-NVR analytics to an inexpensive USB or M.2 neural network accelerator.
  • using HTTP Live Streaming rather than requiring custom browser plug-ins.
  • taking advantage of on-camera analytics. This is the lowest CPU usage option, although many cameras' analytics aren't as good as what can be done on the NVR, they're hard to experiment with, and even when they use modern ML-based approaches, their built-in models can't be retrained.

Documentation

Getting help and getting involved

Please email the moonfire-nvr-users mailing list with questions, or just to say you love/hate the software and why. You can also file bugs and feature requests on the github issue tracker.

I'd welcome help with testing, development (in Rust, JavaScript, and HTML), user interface/graphic design, and documentation. Please email the mailing list if interested. Pull requests are welcome, but I encourage you to discuss large changes on the mailing list or in a github issue first to save effort.