A system includes a camera aimed externally to a vehicle, a window of the vehicle, a projector positioned to project on the window, and a computer communicatively coupled to the camera and the projector. The computer is programmed to, upon receiving data from the camera indicating a first person outside the vehicle, instruct the projector to project an image on the window depicting a second person inside the vehicle.

A display system for a vehicle includes a display unit mounted to the vehicle and is selectively operable in a first mode as a holographic display and in a second mode as a mirror. Holographic images may include rear view images obtained from a camera or computer generated graphics. Holographic images are displayed at a virtual image plane behind the display to reduce the operator's eyes accommodation.

An autonomous robotic vehicle is capable of detecting, identifying, and locating the source of gas leaks such as methane. Because of the number of operating components within the vehicle, it may also be considered a robotic system. The robotic vehicle can be remotely operated or can move autonomously within a jobsite. The vehicle selectively deploys a source detection device that precisely locates the source of a leak. The vehicle relays data to stakeholders and remains powered that enables operation of the vehicle over an extended period. Monitoring and control of the vehicle is enabled through a software interface viewable to a user on a mobile communications device or personal computer.

A marine drone system utilizing an unmanned aerial vehicle to provide visual feedback for conditions including temperature, depth, and conditions which may suggest favorable fishing conditions, such as weed lines, flotsam, breaks, and objects, such as birds or fish. The system utilizes a plurality of sensors, including, but not limited to, cameras, laser, GPS, radar, and LIDAR. The visual feedback may be shown as a video fees or a map, wherein the feedback is shown as a visual backgrounds, wherein an overlay of interactive functions provides information regarding the conditions. The system also includes method steps for implementing, obtaining, and displaying the information. The system hardware includes the unmanned aerial vehicle, a base station, and a hardwired tether between the unmanned aerial vehicle and the base station providing power and bi-directional data transfer.

A system and method for alerting a driver of a motor vehicle or a person walking along a road or hiking on a trail of potentially dangerous hazards in their path. Hazards may be deep water, ice, oil slicks or other hazards. In the case of a motor vehicle, the system uses cameras mounted on or within the vehicle to detect potential hazards and then analyzes the images combined with the known topography of the location to evaluate the ability of the vehicle to safely traverse the hazard. In the case of a person walking or hiking, the person may use the camera on a personal mobile device to capture images of the hazard and to combine the images with the known topography at the location to evaluate the danger presented by the hazard.

The present disclosure describes various embodiments of systems, apparatuses, and methods for large-scale processing of weather-related data. For one such system, the system comprises a database of weather-related data providing from a plurality of weather monitoring stations and a plurality of interconnected processors for coordinating a data processing job for processing a set of input weather-related data from the database. Accordingly, the input data comprises sensor data from an array of weather monitoring stations positioned on an open shoreline during a hydrodynamic event, weather model data for the hydrodynamic event, and at least one of air-craft reconnaissance data or satellite reconnaissance data regarding the hydrodynamic event, wherein the plurality of interconnected processors are configured to assimilate the input data and generate, using machine learning, an improved weather prediction model for the hydrodynamic event. Other systems, apparatuses, and methods are also provided.

The on-board information processing apparatus executes: detecting an object ahead of the vehicle from an image acquired by an on-board camera; compressing the image to generate a compressed image; transmitting first data including the compressed image and an image acquisition time of the image before compression; and transmitting second data including an object detection result and an image acquisition time of the image used for object detection. The remote monitoring server executes: receiving the first data to store it in a memory; receiving the second data to store it in the memory; extracting the compressed image and the object detection result whose image acquisition times are the same time from the memory in time series; and superimposing an extracted object detection result on a restored image acquired by restoring an extracted compressed image to display the restored image on which the object detection result is superimposed on a monitoring screen.

A method of displaying an operational parameter of a surgical system is disclosed. The method includes receiving, by a cloud computing system of the surgical system, first usage data, from a first subset of surgical hubs of the surgical system; receiving, by the cloud computing system, second usage data, from a second subset of surgical hubs of the surgical system; analyzing, by the cloud computing system, the first and the second usage data to correlate the first and the second usage data with surgical outcome data; determining, by the cloud computing system, based on the correlation, a recommended medical resource usage configuration; and displaying, on respective displays on the first and the second subset of surgical hubs, indications of the recommended medical resource usage configuration.

A method, computer program product, and computing system for proactive encounter scanning is executed on a computing device and includes obtaining encounter information of a patient encounter. The encounter information is proactively processed to determine if the encounter information is indicative of one or more medical conditions and to generate one or more result set. The one or more result sets are provided to the user.

A medical image processing apparatus includes an image processor configured to: receive a plurality of first image data captured at different times and generated by illumination of light in a first wavelength band in sequence; receive a plurality of second image data captured at different times and generated by illumination of light in a second wavelength band different from the first wavelength band in sequence; generate first and second images based on the received first and second image data, respectively; and output the generated first image and second image to a display in chronological order of the first and second images and in accordance with a preset display pattern of the first and second images.