diff --git a/docs/docs/configuration/detectors.md b/docs/docs/configuration/detectors.md
index 43a09d33c..63dd7299f 100644
--- a/docs/docs/configuration/detectors.md
+++ b/docs/docs/configuration/detectors.md
@@ -77,3 +77,33 @@ detectors:
 ```
 
 When using CPU detectors, you can add a CPU detector per camera. Adding more detectors than the number of cameras should not improve performance.
+
+## OpenVino
+
+The OpenVino detector allows Frigate to run an OpenVino IR model on Intel CPU, GPU and VPU hardware.
+
+### OpenVino Devices
+
+The OpenVino detector supports the Intel-supplied device plugins and can specify one or more devices in the configuration.  See OpenVino's device naming conventions in the [Device Documentation](https://docs.openvino.ai/latest/openvino_docs_OV_UG_Working_with_devices.html) for more detail. Other supported devices could be `AUTO`, `CPU`, `GPU`, etc.
+
+```yaml
+detectors:
+  ov_detector:
+    type: openvino
+    device: GPU
+```
+
+### OpenVino Models
+
+The included model for an OpenVino detector comes from Intel's Open Model Zoo [SSDLite MobileNet V2](https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/public/ssdlite_mobilenet_v2) and is converted to an FP16 precision IR model.  Use the model configuration shown below when using the OpenVino detector.
+
+```yaml
+model:
+  path: /openvino-model/ssdlite_mobilenet_v2.xml
+  width: 300
+  height: 300
+  input_tensor: [B, H, W, C]
+  input_pixel_format: "bgr"
+  labelmap_path: /openvino-model/coco_91cl_bkgr.txt
+
+```
diff --git a/docs/docs/configuration/index.md b/docs/docs/configuration/index.md
index a550f4de6..f721a5d03 100644
--- a/docs/docs/configuration/index.md
+++ b/docs/docs/configuration/index.md
@@ -76,9 +76,9 @@ detectors:
   # Required: name of the detector
   coral:
     # Required: type of the detector
-    # Valid values are 'edgetpu' (requires device property below) and 'cpu'.
+    # Valid values are 'edgetpu' (requires device property below)  `openvino` (see Detectors documentation), and 'cpu'.
     type: edgetpu
-    # Optional: device name as defined here: https://coral.ai/docs/edgetpu/multiple-edgetpu/#using-the-tensorflow-lite-python-api
+    # Optional: Edgetpu or OpenVino device name
     device: usb
     # Optional: num_threads value passed to the tflite.Interpreter (default: shown below)
     # This value is only used for CPU types