Abstract: The invention describes a non-contact system and a method for a microwave-based imaging solution for non-destructive testing (NDT) and evaluation of an area under testing (AUT) of assets such as facades, cladding systems, concrete pillars, concrete walls, bridges, tunnels, and dams. The system is comprised of a combination of a various subsystems including but not exclusive to: a front-end subsystem, a system-in-package (SiP) subsystem, and a signal processing subsystem responsible for 3D imaging and detection of defects of the asset.

Abstract: Embodiments include a system and method for a virtual cleaning supervisor (VCS) for monitoring the cleanliness of a washroom, alerting cleaners and/or stakeholders and predicting cleaning schedules. Sensors are installed within a washroom at various locations that measure its cleanliness in real time. Sensors can measure patterns of use, wetness on floors, indoor air quality by detecting concentrations of gases and receive input from users. The sensor network does not rely on the use of a camera or other image based system. Artificial intelligence (AI) based machine learning algorithms on cloud servers can match the observed values with historical values to detect anomalies and send alerts if cleaning or a check is required. The system can also generate reports for facility managers to track cleaning operations and cleaning companies to evaluate their workforce using a time to service parameter.