diff --git a/README.md b/README.md
index 14be2a2..aad8cfb 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,49 @@
 # Face Detect MQTT
-Face and Hand Gesture detector that emits MQTT events on detection
+Face detector that emits MQTT events when a face is detected and not detected.
+
+I built this as an alternative to using PIR motion sensors to turn on the lights in my office.
+I found that when sitting at my computer (somewhat motionless), the PIR motion sensors stop detecting
+motion and turn off the lights while I am still in the room.
+
+Instead of using motion sensors, this project is constantly monitoring a camera (attached to a raspberry pi)
+and looking to see if a face is present on the camera - if a face is present, the lights stay on.
+
+My raspberry pi + camera are placed on my desk under my computer monitors. When I walk into the room and sit
+down at my computer my face is detected - and continue to be detected while I sit at the computer.
+
+![Lights On](images/lights_on.png "Lights ON!")
+
+![Lights Off](images/lights_off.png "Lights OFF!")
+
+## MQTT Events
+Note: the mqtt client id is customisable via environment variables. The default `cvzone_tracker_01` is used in the examples below
+### Face Detected
+A face has been detected
+```
+MQTT Topic: home/cvzone_tracker_01/face_detected
+Payload: 1
+```
+
+### Face Not Detected
+A face is no longer detected (a face must be detected first)
+```
+MQTT Topic: home/cvzone_tracker_01/face_detected
+Payload: 0
+```
+
+### Connected
+MQTT client has connected
+```
+MQTT Topic: home/cvzone_tracker_01/status
+Payload: connected
+```
+
+### Face Not Detected
+MQTT client has disconnected (sent as MQTT last will message)
+```
+MQTT Topic: home/cvzone_tracker_01/status
+Payload: disconnected
+```
 
 ## Raspberry Pi Pre-requisites (using the RPi Camera Module)
 *Required*: Raspberry Pi OS 64-bit
@@ -32,6 +76,14 @@ docker run \
   selexin/face-detect-mqtt:latest
 ```
 
+### Environment Variables
+ - `MQTT_ADDRESS` - IP Address of MQTT broker on local network
+ - `MQTT_PORT` - Port of MQTT broker on local network
+ - `MQTT_CLIENT_ID` - Custom MQTT client ID to use
+ - `MIN_FACE_SCORE` - Number between 0.0 and 0.1. Ignore face detections with a confidence lower than this number. 
+ - `ROTATE_IMAGE` - Set to "1" to if your camera is upside-down
+
+
 ## Manually install and run
 ```
 sudo apt update
diff --git a/dockerrun.sh b/dockerrun.sh
index def26e8..6c53cc6 100755
--- a/dockerrun.sh
+++ b/dockerrun.sh
@@ -6,5 +6,6 @@ docker run \
   -e MQTT_PORT="1883" \
   -e MQTT_CLIENT_ID="cvzone_tracker_01" \
   -e MIN_FACE_SCORE="0.5" \
+  -e ROTATE_IMAGE="0" \
   --name=face-detect-mqtt \
   selexin/face-detect-mqtt:latest
diff --git a/images/lights_off.png b/images/lights_off.png
new file mode 100644
index 0000000..f328ec7
Binary files /dev/null and b/images/lights_off.png differ
diff --git a/images/lights_on.png b/images/lights_on.png
new file mode 100644
index 0000000..d32c6a3
Binary files /dev/null and b/images/lights_on.png differ
diff --git a/src/main.py b/src/main.py
index 968e0c4..d4d0799 100644
--- a/src/main.py
+++ b/src/main.py
@@ -13,7 +13,7 @@ tracker = Tracker(
     mqtt_client_id=mqtt_client_id,
     min_face_score=min_face_score,
     rotate_img=rotate_img == 1,
-    show_img=False)
+    show_img=True)
 
 while True:
     tracker.loop()