This tool connects to Arlo cameras and displays their images. It allows you to update a camera image with a snapshot or a live video stream. It also downloads all video from the Arlo cloud. Low battery and motion detection notifications are displayed on the computer.
The GUI looks like this for a two-camera Arlo installation:
Left-clicking on a camera image updates it with a snapshot; right-clicking displays a live video stream. The video stream ends when either the left or the right mouse button is clicked.
All videos in the cloud from up to 30 days old will be downloaded to the local
Videos/Arlo directory.
Notifications are sent when a camera's battery is low or when motion is detected by any of the cameras. The motion detection notification initially looks like this:
The initial notification alerts you mentioning the time and camera where the motion was detected. After video for that motion event becomes available in the cloud, the alert is updated to look like this:
The updated notification includes a link to the video, which can be played or
downloaded. It will also automatically be downloaded to the Videos/Arlo directory.
The notifications above were seen on Kubuntu. They look slightly different on other systems. On Windows, the second notification does not contain web links. Instead it lists the filename of the video.
Several command-line parameters are supported. The user name and password can be given there and the method for two-factor authorization can be selected.
usage: arlo.py [-h] [--username USERNAME] [--password PASSWORD] [--tfa TFA]
options:
-h, --help show this help message and exit
--username USERNAME, -u USERNAME
Arlo username (usually e-mail address).
--password PASSWORD, -p PASSWORD
Arlo password.
--tfa TFA, -t TFA Method for two-factor-authorization, either e-mail or text message, supported values 'EMAIL' and 'SMS'; default 'EMAIL'.
All these parameters are optional. A GUI dialog opens when they are not given.
This code needs Python 3.7 or later. It relies on the package pyaarlo to communicate with the Arlo cloud.
On Ubuntu Linux, all dependencies can be met with:
sudo apt install -y python3-opencv python3-tk python3-pil python3-pil.imagetk python3-dbus
pip3 install git+https://github.com/twrecked/pyaarlo
On other platforms pip installs the packages:
pip install opencv-python Pillow
pip install git+https://github.com/twrecked/pyaarlo
On Windows package win10toast is used to send notifications. It can be
installed with
pip install win10toast
On Linux notifications are sent to the dbus.