Abstract: In an example implementation, a monitoring system is disclosed. The monitoring system can include a camera enclosure including a camera configured to capture images within a field-of-view of the camera and an enclosure including at least a processor, a memory, and a display. The enclosure defines an aperture to provide access to the display. The monitoring system can also include a connector that connects the camera enclosure and the enclosure, wherein a height of the connector ranges from approximately fifty percent (50%) to approximately sixty-five percent (65%) of a total height.

Abstract: A system comprises a computer including one or more processors and memory. The memory includes instructions such that the one or more processors are programmed to receive at least one of Red-Green-Blue (RGB) image data or infrared (IR) image data from one or more cameras communicatively connected to the one or more processors, where the RGB image data and the IR image data represents an environment including at least one individual disposed along a support surface. The one or more processors receive annotated depth image data that corresponds to the RGB image data and the IR image data. The one or more processors train a neural network with at least one of the RGB image data and the IR image data corresponding to the annotated depth image data, where the neural network is trained to predict when the individual is exiting the support surface.