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Distributed Automated Situational Awareness
OpenScout: Distributed Automated Situational Awareness
OpenScout utilizes Gabriel, a platform for wearable cognitive assistance applications, to transmit the video stream from the device to a backend server where object detection, face recognition, and activity recognition (in a future release) are done. The results are then returned to the device and can be propagated to other services.
Prerequisites
OpenScout requires a server running the backend application to connect with. The backend runs on a machine with a discrete GPU. Please see https://github.com/cmusatyalab/openscout for instructions on how to setup the server.
What's New in the Latest Version 0.5
Last updated on Dec 18, 2021
* Updated to use v.2.3.0 of the gabriel client, gabriel camera, and gabriel server list libraries.
* Redesigned server list (based on edu.cmu.cs.gabriel.serverlist library)
* Add a servery by clicking the + sign action button, connect by taping on server card, and delete by swiping left or right on a server
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OpenScout
0.5 by CMU Satya Lab
Dec 18, 2021