OpenScout

CMUSatyaLab

Dec 18, 2021

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4.5 MB
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OpenScout 정보

분산 된 자동 상황 인식

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 0.5

Last updated on 2021-12-19

* 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