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Kanzelh\"ohe Observatory (KSO) regularly performs high-cadence full-diskimaging of the solar chromosphere in the H$\alpha$ and CaIIK spectrallines aswell as the solar photosphere in white-light. In the frame of ESA's SpaceSituational Awareness (SSA) programme, a new system for real-time H$\alpha$data provision and automatic flare detection was developed at KSO. The data andevents detected are published in near real-time at ESA's SSA Space Weatherportal (http://swe.ssa.esa.int/web/guest/kso-federated). In this paper, wedescribe the H$\alpha$ instrument, the image recognition algorithms developed,the implementation into the KSO H$\alpha$ observing system and present theevaluation results of the real-time data provision and flare detection for aperiod of five months. The H$\alpha$ data provision worked in $99.96$% of theimages, with a mean time lag between image recording and online provision of4s. Within the given criteria for the automatic image recognition system (atleast three H$\alpha$ images are needed for a positive detection), all flareswith an area $\ge$50 micro-hemispheres and located within $60^\circ$ of theSun's center that occurred during the KSO observing times were detected, intotal a number of 87 events. The automatically determined flare importance andbrightness classes were correct in $\sim$85%. The mean flare positions inheliographic longitude and latitude were correct within $\sim$1$^\circ$. Themedian of the absolute differences for the flare start times and peak timesfrom the automatic detections in comparison to the official NOAA (and KSO)visual flare reports were 3 min (1 min).

Real-time flare detection in ground-based H$\alpha$ imaging at Kanzelh\"ohe Observatory