The ETP contacted Linknode primarily because of their locality to Strathclyde. There had been previous engagement but nothing substantial in terms of support or indeed a consultancy project. Linknode’s key area of expertise lies in software development for mobile devices. They provide mobile 3D visualisation apps and services with specialism in the convergence of location, sensors, devices and model data for geospatial augmented reality (AR) - GIality.
Their flagship solution, known as VentusAR, has already been commercialised for wind, solar and grid infrastructure planning projects within industry. This application enables in-field visualisation and allows a development to be visualised from any location, pre-planned or not. It helps dynamically assess, reduces return visits and shortens development cycles. This means lowers costs, improved use of resources time saving. However, one issue that is currently being faced is how to adequately assess terrain landform features from captured images and how to process them in the minimum amount of time. As it stands, any discrepancy between the virtual reality reconstruction and the image has to be manually calibrated to account for roll, pitch and yaw error relative to the camera’s fixed position. As such, Linknode hoped to solve this issue by collaborating with Strathclyde’s signal processing department.