BlighterNexus HMI provides users with a simple interface to control and view one or more Blighter radars. Additional controls are available for advanced users to optimise the radar settings and the HMI display characteristics for specific applications through BlighterNexus Web-config.

Radar targets are clearly identified as coloured markers overlaid onto a background map with key target characteristics available on a mouse-click; including target location, speed and size. The colour of each target marker can be configured to represent target speed and direction or target size, allowing the operator to prioritise the targets to be observed. The user can select the duration of ‘snail-trail’ tracks that are displayed, allowing the path of the target to be plotted and predicted. BlighterNexus HMI can control a variety of high-performance camera and thermal imaging systems allowing the user to automatically cue the cameras to the target location.

To enable un-manned operation, BlighterNexus HMI includes user-definable alert, exclusion and action zones. An intruder entering an alert zone will generate a visible and audible alarm thereby alerting the operator to the event. Exclusion zones allow targets to be ignored within defined areas so that they do not distract the operator. Zones may be overlaid and prioritised to select or ignore specific target characteristics such as size and speed.

BlighterNexus HMI operates on a standard PC or laptop running Microsoft Windows. Typically, up to six Blighter radars may be displayed simultaneously on a single HMI. Each radar can be controlled independently to optimise for its environment. For fixed installations each radar may be manually located on the background map, however mobile radars may use their local GPS receiver and compass to locate themselves automatically on the map. BlighterNexus HMI uses Envita MapLink Pro mapping.

BlighterNexus HMI offers capability to display the ground clutter map produced by the Doppler radar. The ground clutter map shows where radar reflections from static objects have been received and may be overlaid onto the background map to help easily identify radar shadow areas and predict ground cover.