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SUMMARY:OpenRiverCam: FOSS for operational monitoring of river flows with 
 cameras - Hessel Winsemius
DTSTART;TZID=Europe/Amsterdam:20260709T140500
DTEND;TZID=Europe/Amsterdam:20260709T142500
DTSTAMP:20260726T041239Z
UID:pretalx-foss4gnl-ZKNPCG@pretalx.com
DESCRIPTION:Over a decade ago\, researchers started to investigate how to 
 monitor river flows with camera video footage. This offers the promise tha
 t river monitoring may become low-cost\, and carried out with off the shel
 f IoT materials. This led to first successful applications of river flow m
 onitoring from videos. The workflow typically consists of acquiring a vide
 o from an oblique angle\, pre-process to bring forward moving tracers such
  as advecting ripples\, bubbles or eddies\, orthorectification (i.e. repro
 jecting pixels to meter distance\, some form of tracing patterns or partic
 les from frame to frame and from location to location\, and combining velo
 cities with a surveyed cross-section to yield river flow in cubic metre pe
 r second. Several free and sometimes open-source existing applications all
 ow users to load videos in a user interface\, and perform the steps intera
 ctively. However\, operational\, real-time\, automated flow observations w
 ith camera videos so far was only feasible with proprietary hardware and s
 oftware solutions\, compromising the promise of affordability and local ma
 intenance of services.\n\nWith OpenRiverCam\, for the first time any user 
 can acquire materials for a station\, setup an automated workflow using th
 e on-site OpenRiverCam Operating System (_ORC-OS_)\, and even collect data
  centrally on a central server-side REST API called LiveOpenRiverCam (_Liv
 eORC_). Not only does the ecosystem provide software\, it also provides ex
 tensive doumentation that guides a user how to establish a field hardware 
 setup\, and how to install and survey the station. The documentation forms
  an integral part of the ecosystem\, as it allows a user truly become inde
 pendent of the developers. In this presentation\, I will demonstrate the c
 urrent capabilities of the software\, the underlying methods\, the on-site
  application _ORC-OS_ and how it runs on a standard Raspberry Pi 5\, and t
 he REST API _LiveORC_. I will also demonstrate how first users are able to
  establish services in their own local context with locally fit business p
 ropositions with examples from Zambia\, California – US\, and Indonesia.
LOCATION:Brunsemazaal
URL:https://pretalx.com/foss4gnl/talk/ZKNPCG/
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