diff --git a/docs/usage.md b/docs/usage.md index e9777bc..e23dc68 100644 --- a/docs/usage.md +++ b/docs/usage.md @@ -1,4 +1,16 @@ -### Usage +### User Interface + +The UI is available either via display if installed, or via http://pwnagotchi.local:8080/ if you connect to the unit via `usb0` and set a static address on the network interface (change `pwnagotchi` with the hostname of your unit). + + + +* **CH**: Current channel the unit is operating on or `*` when hopping on all channels. +* **APS**: Number of access points on the current channel and total visible access points. +* **UP**: Time since the unit has been activated. +* **PWND**: Number of handshakes captured in this session and number of unique networks we own at least one handshake of, from the beginning. +* **AUTO**: This indicates that the algorithm is running with AI disabled (or still loading), it disappears once the AI dependencies have been bootrapped and the neural network loaded. + +### Training the AI At its core Pwnagotchi is a very simple creature: we could summarize its main algorithm as: @@ -95,17 +107,6 @@ reward = h + a + c + b + i + m By maximizing this reward value, the AI learns over time to find the set of parameters that better perform with the current environmental conditions. -### User Interface - -The UI is available either via display if installed, or via http://pwnagotchi.local:8080/ if you connect to the unit via `usb0` and set a static address on the network interface (change `pwnagotchi` with the hostname of your unit). - - - -* **CH**: Current channel the unit is operating on or `*` when hopping on all channels. -* **APS**: Number of access points on the current channel and total visible access points. -* **UP**: Time since the unit has been activated. -* **PWND**: Number of handshakes captured in this session and number of unique networks we own at least one handshake of, from the beginning. -* **AUTO**: This indicates that the algorithm is running with AI disabled (or still loading), it disappears once the AI dependencies have been bootrapped and the neural network loaded. ### BetterCAP's Web UI