Insurance is one of the oldest types of protection against future losses and dates back from ancient years. Over the past years, insurance has become very sophisticated requiring the collection of high amounts of data at frequent time intervals. Towards that end, XRain will provide digital tools which will automate the documentation of the different parts of the asset by creating a virtual representation of it from its early design through building and operation (T3.1). Additionally, XRain will introduce semi-autonomous drones equipped with visual sensors in order to accelerate the process and access parts of the asset which are not easily accessible (T3.3). Due to the significance of the insurance inspection, insurance agents need to be thorough and to ensure that they gathered all the required information for avoiding costly revisits. In consequence, XRain will develop an AR application which will drive and assist the agents during an inspection process (T3.2) by automatically generating checklists. Expert insurance agents will have also the ability to connect remotely to the asset in cases of incidents and assist users to collect useful information (T3.4). Furthermore, a VR training platform based on historical data securely stored in a centralized repository (T4.1), will be developed for allowing novice users to familiarize themselves with the inspection procedures prior to real-life inspections (T4.2). Decision makers will be able to better understand the value of the collected data by exploiting XRain’s AR collaborative platform (T4.3). XRain will leverage the recent advances in deep learning in order to provide a novel tool for comparing 3D models of the same asset in different timescales (T4.4). Therefore, insurance agents will be able to easily identify differences, modifications and even assess the extent of the damages in incident cases.
Project leader: Kristoffer Hammer
Institution: FINANCE INNOVATION