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[![CI](https://github.com/scottlamb/moonfire-nvr/workflows/CI/badge.svg)](https://github.com/scottlamb/moonfire-nvr/actions?query=workflow%3ACI)
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* [Introduction](#introduction)
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* [Documentation](#documentation)
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2016-01-02 01:06:47 -05:00
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# Introduction
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Moonfire NVR is an open-source security camera network video recorder, started
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by Scott Lamb <<slamb@slamb.org>>. It saves H.264-over-RTSP streams from
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IP cameras to disk into a hybrid format: video frames in a directory on
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spinning disk, other data in a SQLite3 database on flash. It can construct
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`.mp4` files for arbitrary time ranges on-the-fly. It does not decode,
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analyze, or re-encode video frames, so it requires little CPU. It handles six
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1080p/30fps streams on a [Raspberry Pi
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2](https://www.raspberrypi.org/products/raspberry-pi-2-model-b/), using
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less than 10% of the machine's total CPU.
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**Help wanted to make it great! Please see the [contributing
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guide](CONTRIBUTING.md).**
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So far, the web interface is basic: a filterable list of video segments,
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with support for trimming them to arbitrary time ranges. No scrub bar yet.
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There's also an experimental live view UI.
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<table>
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<tbody>
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<tr valign=top>
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<td><a href="screenshots/list.png"><img src="screenshots/list.png" width=360 height=345 alt="list view screenshot"></a></td>
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<td><a href="screenshots/live.jpg"><img src="screenshots/live.jpg" width=360 height=212 alt="live view screenshot"></a></td>
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</tr>
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</tbody>
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</table>
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There's no support yet for motion detection, no https/TLS support (you'll
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need a proxy server, as described [here](guide/secure.md)), and only a
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console-based (rather than web-based) configuration UI.
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Moonfire NVR is currently at version 0.6.3. Until version 1.0, there will be no
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compatibility guarantees: configuration and storage formats may change from
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version to version. There is an [upgrade procedure](guide/schema.md) but it is
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not for the faint of heart.
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I hope to add features such as video analytics. In time, we can build
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a full-featured hobbyist-oriented multi-camera NVR that requires nothing but
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a cheap machine with a big hard drive. There are many exciting techniques we
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could use to make this possible:
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* avoiding CPU-intensive H.264 encoding in favor of simply continuing to use
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the camera's already-encoded video streams. Cheap IP cameras these days
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provide pre-encoded H.264 streams in both "main" (full-sized) and "sub"
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(lower resolution, compression quality, and/or frame rate) varieties. The
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"sub" stream is more suitable for fast computer vision work as well as
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remote/mobile streaming. Disk space these days is quite cheap (with 4 TB
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drives costing about $100), so we can afford to keep many camera-months
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of both streams on disk.
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* off-loading on-NVR analytics to an inexpensive USB or M.2 neural network
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accelerator and hardware H.264 decoders.
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* taking advantage of on-camera analytics. They're often not as accurate, but
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they're the best way to stretch very inexpensive NVR machines.
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2017-10-02 01:02:39 -04:00
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# Documentation
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* [Contributing](CONTRIBUTING.md)
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* [License](LICENSE.txt) —
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[GPL-3.0-or-later](https://spdx.org/licenses/GPL-3.0-or-later.html)
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with [GPL-3.0-linking-exception](https://spdx.org/licenses/GPL-3.0-linking-exception.html)
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for OpenSSL.
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* [Change log](CHANGELOG.md) / release notes.
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* [Guides](guide/)
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* [Installing](guide/install.md)
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* [Building from source](guide/build.md)
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* [UI Development](guide/developing-ui.md)
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* [Troubleshooting](guide/troubleshooting.md)
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* [Design documents](design/)
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* [Wiki](https://github.com/scottlamb/moonfire-nvr/wiki) has hardware
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recommendations, notes on several camera models, etc. Please add more!
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