Public Funding for Ethersec Industries Ltd

We intend to develop an autonomous, AI based, medical surveillance system that measures and models the viral exposure of front line medical staff in real time. To capture this data we shall develop a novel wearable device, uniquely suited to a hospital environment, to provide IoT style data, captured by reliable, commercial off the shelf products that have been repurposed, again in a innovative way. In an operational innovation, the risk that the staff are exposed to, may then be measured and this risk minimised: a workflow successfully in operation in the nuclear industry. This information and technology will allow the country to prepare for the next infective wave, SARS-CoV-2 mutation or zoonotic disease to challenge the health service. -------------------------------------------------------------------------------- The underlying technologies are now developed and shown to work well at TRL 4, in which the individual components of the system operate together in laboratory conditions. Our future intention is to develop the system to TRL 6, at pace, so that it is capable of deployment in real life. Our strategy is composed of three strands, namely: quickly develop a V2.0, low cost, robust, fully featured, version of the wearable device, incorporating the lesson learnt from building the prototype. Secondly, quickly move to testing this V2.0 device in a benign clinical setting to test it in operation over a significant duration. Thirdly, develop a minimally featured version of the device, tailored to an ultra low cost wearable. On completion of these strands, the system will be within the correct costings and proven efficacy to be introduced to the market successfully.

This project intends to develop the world's first commercially available 3D Video Analytics system. The 3D nature of the Video Analytics shall enable dramatically increased accuracy when identifying an alarm condition. The breakthrough in precession will allow currently active markets such as border security and utilities to be effectively monitored by far fewer human observers who can, for the first time, rely on the autonomy of the system. Further, we can explore novel markets that take place in environments that are too problematic to monitor with current 2D technology. The R&D performed during this project will lay the base for a suite of new products in security and related industries. As a demonstration of this step change in product functionality, the project will also include a further extension to the Video Analytics product described above. This new product will provide an entirely new modality of interaction between the user and the system, namely a synthesised multi-camera augmented reality environment. This technical leap is only possible due to the novel characteristics inherent in 3D data sets and the transition to 3D Video Analytics.