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Person detection in snowfall
03

Detection & Field Operator Validation

Objective

Validation of person detection under adverse weather conditions, and functional testing of field operator lifecycle management.

Person detection

Test of real-time person detection using a local detection model under an overcast sky and active snowfall. The camera was positioned statically on the ground. The target person wore inconspicuous clothing in olive green and black and moved a few meters away in front of bushes – a deliberately difficult scenario with low contrast against the background.

Despite the challenging conditions, the person was reliably detected throughout. Detection remained stable even with changing positions and partial occlusion by vegetation.

Field operator validation

Validation of the complete field operator lifecycle: adding, managing and removing field operators via the platform. Registered operators transmit their position and data to the station in real time, where they are displayed live on the map.

All lifecycle operations worked flawlessly. Position data was synchronized reliably and in real time.

Result: Both functions validated successfully. Detection works robustly under adverse weather conditions and poor contrast. Field operator management is ready for operational use.

Validated functions

  • Person detection in adverse weather
  • Reliable detection despite low contrast
  • Static ground camera position with real-time analysis
  • Adding, managing and removing field operators
  • Real-time position transmission to the station
  • Live display of operators on the map
EnvironmentOutdoor, Austria
WeatherOvercast, snowfall
StatusSuccessfully completed
Detection modelLocal
Camera positionStatic, ground
Field Operator Handheld Mode
Field operator – handheld mode

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