Provide remote assistance empowered with AR


HELPAR is an efficient collaborative solution for remote guidance, which combines video streaming and AR technology. This superimposes the user’s camera image with computer-generated visuals to enable interactions and AR markings.

  • Audio and video streaming Resolve issues much faster with live audio and video streaming through remote support, regardless of the types of issues you face.
    Show and explain issues more easily by being able to start a live transmission on the spot with your smartphone or smart glass. Like in conventional remote support applications, videos and images are broadcast in real time between users, but enhanced with AR annotations.
  • Sticky annotations Enrich remote support with virtual arrows and markings to make explaining remotely easier.
    Once placed, sticky annotations remain in their position throughout the entire remote support call. This makes it easier to refer to the issues at hand. Just mark the position you are referring to with AR markings.
  • Object tracking Object tracking enables users to detect and track objects based on a 3D model. Set up trackers using 3D models, CAD data, or 3D scans as a reference without any complex configurations. Superimposing objects in the real world enables you to show object animations or mark positions on an object that are out of focus during the call.
  • Time rewind Through this feature, the admin can annotate something that was previously shown even though he is not currently focusing on it.
    It is possible to set an annotation at a previous position. When the call is further advanced, the admin can go back, choose a frame that was saved during the call, and add an annotation. Simply navigate back to a previous frame of the call and annotate at the position of your choice.
  • Indoor navigation Reduce the time for orientation and help your workers find the fastest way to any service point.
    HELPAR helps your workers find any service points by calculating the most efficient route, even in the most complex building. Navigation can be enhanced with additional features to visualise data and information along the way. Workers’ safety is increased, and repair time is reduced by 50%.

  • Mobile

HELPAR runs on all augmented reality capable mobile devices. The advantage of mobile devices is obvious. Communicate better and recognise issues easier with digital annotations that stay in place. The information is easily accessible and manageable for everyone in the company. Our applications are optimised for a variety of devices, both new and old.

  • Desktop

All HELPAR desktop applications are cloud / browser based and don’t need any local installation. Solve issues remotely with over the shoulder-guidance powered by augmented reality. It is easy to come back and see the hints and tips that were given some time before. Provide instant access to experts to reduce errors and downtimes in the long run.

  • AR Glasses

HELPAR will support the Magic Leap 2 very soon. All available and upcoming HELPAR features will be ported and optimised for a gesture control usage.

Minimum Requirements
 Recommended Requirements  
OPERATING SYSTEMS iOS 12 or later, Android 11 or later

Our AR Partners

The VIEWAR System offers a comprehensive framework for developing, managing, testing, and publishing augmented reality applications in the industrial sector.

VIEWAR is an ecosystem specifically designed for industrial augmented reality. It empowers individuals without prior AR expertise to create immersive experiences for indoor navigation, workflow optimisation, remote support, and maintenance tasks. By utilising digital twins and 3D scans, the system enables operators to have a complete understanding of their surroundings, allowing them to navigate visually through their workspaces and receive guidance for their tasks.

VIEWAR is compatible with standard web browsers, smartphones, tablets, and HMDs (Head-Mounted Displays). 

Founded in 2011, ViewAR is headquartered in Vienna, Austria, and currently consists of a team of 32 dedicated professionals.

Automation Case Studies