Two basic tasks in the perioperative period are i) surgery and ii) patient monitoring and care. The outcome of diagnosis and surgical interventions can be improved by means of electromagnetic tracking systems (EMTSs) [1], widely used in surgical navigation. They employ very small EM sensors, which measure the magnetic field produced by a field generator, thus accurately estimating the pose of the instrument in the operative scenario. Moreover, in the pre- and postoperative phase, monitoring the flow rate of the fluid being administered to patients is very important for their safety. Hence, our proposed system [2] uses a camera to film the intravenous (IV) drip infusion kit and a deep learning-based algorithm to detect and count drops. The usage of a camera as a sensing element is safe in medical environments and can be easily integrated into current health facilities.

1. Example of Application field: Health, Tracking
2. Example of Activity: Monitoring, Diagnosis, Surgery