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robmarkcole · Aug 6, 2019 · b5ed42e · b5ed42e
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diff --git a/README.md b/README.md
@@ -40,12 +40,14 @@ Now run the app:
 pi@raspberrypi:~/coral-pi-rest-server $ python3 coral-app.py
 ```
 
-I am running on a pi 3 with the raspi camera below. FYI the camera is mounted on a [pan-tilt stage](https://shop.pimoroni.com/products/pan-tilt-hat).
+I am running on a pi3 with the raspi camera below. FYI the camera is mounted on a [pan-tilt stage](https://shop.pimoroni.com/products/pan-tilt-hat).
 
 <p align="center">
 <img src="https://github.com/robmarkcole/coral-pi-rest-server/blob/master/images/my_setup.png" width="500">
 </p>
 
+Using the pi3 (which has only usb2) processing a single request from another machine via this server takes ~ 300 to 500 ms. Therefore this is certainly fast enough to process images at 1 FPS which in my experience is suitable for tasks such as counting people in a room.
+
 ## Models
 If you have installed the raspberry pi disk images from edgetpu-platforms then you already have all the models in `home/pi/all_models`. If you are using a linux desktop you will need to download the models.
 * The official pre-compiled models are at -> https://coral.withgoogle.com/models/

diff --git a/coral-app-usage.ipynb b/coral-app-usage.ipynb
diff --git a/development/coral-usage.ipynb b/development/coral-usage.ipynb
diff --git a/usage/coral-app-usage.ipynb b/usage/coral-app-usage.ipynb