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27
docs/docs/hardware.md
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@ -11,23 +11,26 @@ I recommend Dahua, Hikvision, and Amcrest in that order. Dahua edges out Hikvisi
Here are some of the camera's I recommend:
- [Loryta(Dahua) T5442TM-AS-LED](https://www.amazon.com/Loryta-IPC-T5442TM-AS-LED-Starlight-Eyeball-Network/dp/B07S5QZJDH/)
- [Loryta(Dahua) IPC-T5442TM-AS](https://www.amazon.com/Loryta-IPC-T5442TM-AS-Starlight-Eyeball-Network/dp/B07S21FVC7/)
- [Amcrest IP5M-T1179EW-28MM](https://www.amazon.com/Amcrest-5-Megapixel-NightVision-Weatherproof-IP5M-T1179EW-28MM/dp/B083G9KT4C/)
- [Loryta(Dahua) T5442TM-AS-LED](https://amzn.to/2Wck2hQ) (affiliate link)
- [Loryta(Dahua) IPC-T5442TM-AS](https://amzn.to/39FODrm) (affiliate link)
- [Amcrest IP5M-T1179EW-28MM](https://amzn.to/39H1zgt) (affiliate link)
I may earn a small commission for my endorsement, recommendation, testimonial, or link to any products or services from this website.
## Server
My current favorite is the Minisforum GK41 because the dual NICs allow you to setup a dedicated private network for your cameras where they can be blocked from accessing the internet.
My current favorite is the Minisforum GK50 because the dual NICs allow you to setup a dedicated private network for your cameras where they can be blocked from accessing the internet. I may earn a small commission for my endorsement, recommendation, testimonial, or link to any products or services from this website.
| Name | Inference Speed | Notes |
| ----------------------- | --------------- | ----------------------------------------------------------------------------------------------------------------------------- |
| Minisforum GK41 | 9-10ms | Great alternative to a NUC with dual Gigabit NICs. Easily handles several 1080p cameras. |
| Intel NUC NUC7i3BNK | 8-10ms | Great performance. Can handle many cameras at 5fps depending on typical amounts of motion. |
| BMAX B2 Plus | 10-12ms | Good balance of performance and cost. Also capable of running many other services at the same time as frigate. |
| Atomic Pi | 16ms | Good option for a dedicated low power board with a small number of cameras. Can leverage Intel QuickSync for stream decoding. |
| Raspberry Pi 3B (32bit) | 60ms | Can handle a small number of cameras, but the detection speeds are slow due to USB 2.0. |
| Raspberry Pi 4 (32bit) | 15-20ms | Can handle a small number of cameras. The 2GB version runs fine. |
| Raspberry Pi 4 (64bit) | 10-15ms | Can handle a small number of cameras. The 2GB version runs fine. |
| ------------------------------------------------------------------- | --------------- | ----------------------------------------------------------------------------------------------------------------------------- |
| [Minisforum GK41](https://amzn.to/3kI0njr) (affiliate link) | 9-10ms | Great alternative to a NUC. Easily handles several 1080p cameras. |
| [Minisforum GK50](https://amzn.to/3m49yKk) (affiliate link) | 9-10ms | Dual gigabit NICs for easy isolated camera network. Easily handles several 1080p cameras. |
| [Intel NUC](https://amzn.to/3kImYMT) (affiliate link) | 8-10ms | Overkill for most, but great performance. Can handle many cameras at 5fps depending on typical amounts of motion. |
| [BMAX B2 Plus](https://amzn.to/3uccBnD) (affiliate link) | 10-12ms | Good balance of performance and cost. Also capable of running many other services at the same time as frigate. |
| [Atomic Pi](https://amzn.to/3i9YRVw) (affiliate link) | 16ms | Good option for a dedicated low power board with a small number of cameras. Can leverage Intel QuickSync for stream decoding. |
| [Raspberry Pi 3B (32bit)](https://amzn.to/3lZUi16) (affiliate link) | 60ms | Can handle a small number of cameras, but the detection speeds are slow due to USB 2.0. |
| [Raspberry Pi 4 (32bit)](https://amzn.to/2ZpgDNW) (affiliate link) | 15-20ms | Can handle a small number of cameras. The 2GB version runs fine. |
| [Raspberry Pi 4 (64bit)](https://amzn.to/2ZpgDNW) (affiliate link) | 10-15ms | Can handle a small number of cameras. The 2GB version runs fine. |
## Google Coral TPU

2
docs/docs/installation.md
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@ -35,7 +35,7 @@ The shm size cannot be set per container for Home Assistant Addons. You must set
By default, the Raspberry Pi limits the amount of memory available to the GPU. In order to use ffmpeg hardware acceleration, you must increase the available memory by setting `gpu_mem` to the maximum recommended value in `config.txt` as described in the [official docs](https://www.raspberrypi.org/documentation/computers/config_txt.html#memory-options).
Additionally, the USB Coral draws a considerable amount of power. If using any other USB devices such as an SSD, you will experience instability due to the Pi not providing enough power to USB devices. You will need to purchase an external USB hub with it's own power supply. Some have reported success with [this](https://www.amazon.com/-/en/RSHTECH-Active-Splitter-Lightweight-Portable/dp/B091F7C5K4).
Additionally, the USB Coral draws a considerable amount of power. If using any other USB devices such as an SSD, you will experience instability due to the Pi not providing enough power to USB devices. You will need to purchase an external USB hub with it's own power supply. Some have reported success with [this](https://amzn.to/2XTEqp7) (affiliate link).
## Docker