add information to docs

docs/docs/configuration/object_detectors.md

@@ -304,22 +304,7 @@ These SoCs come with a NPU that will highly speed up detection.
 
 ### Setup
 
-RKNN support is provided using the `-rk` suffix for the docker image.
+RKNN support is provided using the `-rk` suffix for the docker image. Moreover, privileged mode must be enabled by adding the `--privileged` flag to your docker run command or `privileged: true` to your `docker-compose.yml` file.
-```
-version: "3.9"
-services:
-  frigate:
-    container_name: frigate
-    image: frigate:latest-rk
-    privileged: true
-    restart: unless-stopped
-    volumes:
-      - /etc/localtime:/etc/localtime:ro
-      - ./data/config:/config
-      - ./data/media:/media/frigate
-    ports:
-      - "5000:5000"
-```
 
 ## Configuration
 

docs/docs/frigate/hardware.md

@@ -95,6 +95,16 @@ Frigate supports all Jetson boards, from the inexpensive Jetson Nano to the powe
 
 Inference speed will vary depending on the YOLO model, jetson platform and jetson nvpmodel (GPU/DLA/EMC clock speed). It is typically 20-40 ms for most models. The DLA is more efficient than the GPU, but not faster, so using the DLA will reduce power consumption but will slightly increase inference time.
 
+#### Rockchip SoC
+
+Frigate supports SBCs with the following Rockchip SoCs:
+- RK3566/RK3568
+- RK3588/RK3588S
+- RV1103/RV1106
+- RK3562
+
+Using the yolov8n model and an Orange Pi 5 Plus with RK3588 SoC inference speeds vary between 25-40 ms.
+
 ## What does Frigate use the CPU for and what does it use a detector for? (ELI5 Version)
 
 This is taken from a [user question on reddit](https://www.reddit.com/r/homeassistant/comments/q8mgau/comment/hgqbxh5/?utm_source=share&utm_medium=web2x&context=3). Modified slightly for clarity.

docs/docs/frigate/installation.md

@@ -95,6 +95,7 @@ The following community supported builds are available:
 
 `ghcr.io/blakeblackshear/frigate:stable-tensorrt-jp5` - Frigate build optimized for nvidia Jetson devices running Jetpack 5
 `ghcr.io/blakeblackshear/frigate:stable-tensorrt-jp4` - Frigate build optimized for nvidia Jetson devices running Jetpack 4.6
+`ghcr.io/blakeblackshear/frigate:stable-rk` - Frigate build for SBCs with Rockchip SoC
 
 :::