Scott Lamb 478323ec62 write fragmented .mp4s that Safari likes
As required for live view (#59) to work on Safari.

Safari has some "interesting" expectations:
*   There must be a non-empty list of compatible brands. The major brand
    is not automatically included. (Looks like ISO/IEC 14496-12 doesn't
    spell out which is correct.)
*   The tfdt box must be before the trun boxes. Moonfire NVR was not
    compliant with ISO/IEC 14496-12:2015 section 8.8.12.1 before.
    Chrome and Firefox didn't care, but Safari does.
*   The mdat must be written with the small format. Safari is not
    implementing the spec properly.

I figured these out by painstakingly comparing Moonfire NVR's output
with gpac's, making it match almost byte-for-byte until it worked, then
backing out changes one at a time to check which were relevant. Ugh!
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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.

Description
Moonfire NVR, a security camera network video recorder
Readme 17 MiB
Languages
Rust 85.1%
TypeScript 14.7%
HTML 0.1%