diff --git a/docs/docs/guides/getting_started.md b/docs/docs/guides/getting_started.md
index f0f2f0f98..efc9edb42 100644
--- a/docs/docs/guides/getting_started.md
+++ b/docs/docs/guides/getting_started.md
@@ -174,8 +174,47 @@ cameras:
 
 ### Step 4: Configure detectors
 
-By default, Frigate will use a single CPU detector. If you have a USB Coral, you will need to add a detectors section to your config.
+By default, Frigate will use a single CPU detector. 
 
+In many cases, the integrated graphics on Intel CPUs provides sufficient performance for typical Frigate setups. If you have an Intel processor, you can follow the configuration below.
+
+<details>
+  <summary>Use Intel OpenVINO detector</summary>
+
+You need to refer to **Configure hardware acceleration** above to enable the container to use the GPU.
+
+```yaml
+mqtt: ...
+
+detectors: # <---- add detectors
+  ov: 
+    type: openvino  # <---- use openvino detector
+    device: GPU
+
+# We will use the default MobileNet_v2 model from OpenVINO.
+model: 
+  width: 300
+  height: 300
+  input_tensor: nhwc
+  input_pixel_format: bgr
+  path: /openvino-model/ssdlite_mobilenet_v2.xml
+  labelmap_path: /openvino-model/coco_91cl_bkgr.txt
+
+cameras:
+  name_of_your_camera:
+    ffmpeg: ...
+    detect:
+      enabled: True # <---- turn on detection
+      ...
+```
+
+</details>
+   
+If you have a USB Coral, you will need to add a detectors section to your config.
+
+<details>
+   <summary>Use USB Coral detector</summary>
+   
 `docker-compose.yml` (after modifying, you will need to run `docker compose up -d` to apply changes)
 
 ```yaml
@@ -204,6 +243,8 @@ cameras:
       ...
 ```
 
+</details>
+
 More details on available detectors can be found [here](../configuration/object_detectors.md).
 
 Restart Frigate and you should start seeing detections for `person`. If you want to track other objects, they will need to be added according to the [configuration file reference](../configuration/reference.md).