Skip to main content

EyeFi Server Framework

Project description

The EyeFi cards include both some 2-8GB of SDHC storage and an

embedded microprocessor with WiFi (802.11bgn) that can upload images as soon as they have been captured. While the software bundled with the cards is closed and Win/OSX only, the protocol is decently clean SOAP (like XML RPC via HTTP) and can be implemented with twisted and soappy.

After associating with one of the configured wireless networks, the card authenticates a session with the server. The shared secret needs to be obtained from the settings of the Win/OSX application. The server can cope with multiple cards that are identified by their MAC address. After authentication, the card pushes the images that have not yet been posted to the server. The server unpacks the tarred bundle (optionally in a directory per MAC address). It then resolves the wireless networks that were logged by the card at the time the picture was taken into a geolocation using the Google API. The geolocation data is stored in an XMP sidecar. Finally, you can trigger your own scripts on complete upload, extraction and tagging.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for eyefi, version 0.2
Filename, size File type Python version Upload date Hashes
Filename, size eyefi-0.2-py2.7.egg (35.3 kB) File type Egg Python version 2.7 Upload date Hashes View
Filename, size eyefi-0.2.tar.gz (28.3 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page