For presenting an AR demo to get funding for a POC.
Small scale application
To measure ROI.
Proof of concept
An advanced application for AR realization.
Larger scale execution and integration projects.
ADVANCED GESTURE RECOGNITION
Increasing the productivity of an activity relies heavily on the usability of a new technology, not just the fact of its existence. Using mid-air gestures for technology interaction promises huge potential for applications.
RUDIMENTARY CONTEXT RECOGNITION AI
Performant real-time machine based context awareness is still in its infantry in terms of cost efficient customizability, but with the right use cases worthy to explore.
WIFI – CLOUD ACCESS
WIFI cloud allows to build systems much more powerful than just what’s happening inside the Augmented Reality glasses. Import and Export functionality further allow integration into existing workflows.
BLUETOOTH – MOBILE SYNCHRONIZATION
Mobile phone synchronization can be a useful additional helper for advanced information consumption or interaction possibilities.
Indoor navigation helps in orientation issues using smart tracking technologies.
Indoor maps come in handy in larger environments. Maps can be cloud stores and automatically kept up to date by all users through the device built-in area scanning.
SENSOR DATA VISUALIZATION
Visualizing sensor data is a key critical part for operational interfaces and indoor AR management applications.
ENTERPRISE DESKTOP ADMINISTRATION AND CREATION FUNCTIONALITIES
The desktop app functionalities allow to embed AR use cases into existing processes and workflows managed by desk knowledge workers.
MULTI-MEDIA CONTENT CONSUMABILITY
Multi-media content can be easily embedded into the spatial environment of the AR head mounted display for a fused experience between reality and virtuality.
Depending on the environment, voice interfaces can become a comfortobale alternative ontop of the existing interaction design.
Especially for maintenance use cases where remote people have to be connected to on-site factory workers, video streaming technology serves as a crucial component.
DATA INFRASTRUCTURE IN- AND OUTPUTS
To connect with existing infrastructures to either display big data or output into data lakes for AI training, the in and outputs are a relevant part.
Gather data, analyze and evaluate performance of the trainees. For example to see how you can get better at assembling a bike.Contact