Abstract: Embodiments herein describe a scanning station for identifying an air gap between one or more items stored in a container (e.g., a cardboard box) and a surface of the container (e.g., a top lid of the cardboard box). After identifying the air gap, in one embodiment, the scanning station provides instructions to a downstream cutting station where the container is cut opened. In one embodiment, the scanning station includes one or more articulating arms that each includes a scanner (e.g., a radar sensor) attached on an end of the articulating arm facing the container. Moving the articulating arms along the boundaries of the container provides a 3D image of the inside of the container. By processing this image, the scanning station can identify an air gap along a desired cut line as well as a thickness of the sides of the container.

Abstract: In a disclosed method, a computing device receiver, from a wireless receiver (RX), first data indicative of channel properties of a first communication link between the wireless receiver (RX) in a first device and a wireless transmitter (TX) in a second device. The first device and the second device are located in a building. The computing device further executes a neural network to process the first data to distinguish humans from stationary objects within the building and detect presence of the human in the building. The computing device transmits result data indicative of the presence to at least one of the first device or the second device.