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.

An improved home automation system is provided to facilitate senior care, as well as to facilitate care for individuals suffering from Alzheimer's disease or other dementias. A home control unit is provided that is connected to, and interfaces with, a combination of health equipment, smart home appliances, a smart medicine cabinet, a smart pantry, wearable sensors, motion detectors, video cameras, microphones, video monitors, speakers, smart thermostat, lighting, floor sensors, bed sensors, smoke detectors, glass breakage detectors, door sensors, and other perimeter sensors. A distributed computational architecture is provided having a CPU associated with each video camera and an associated proximate microphone and speaker, wherein speech detection and processing, and video processing, is performed by each such CPU in conjunction with its associated video camera, microphone, and speaker. Remote backup for such distributed speech processing is selectively provided by a remote server based upon confidence scopes generated by each such CPU. The distributed computational architecture is also utilized for video processing to facilitate peer-to-peer video conferencing communication using industry standard formats and to reduce latency and response times that would otherwise be encountered using remote servers.

A system for monitoring a plurality of machines of a facility is disclosed. The system comprises a plurality of data network devices configured to communicate with one another via at least one network. The data network devices are configured to collect machine data from the plurality of machines and distribute the machine data via the at least one network. The system further comprises data display devices configured to provide a graphical user interface that enables a user to view and analyze the machine data that is collected and distributed by the data network devices.

Multispectral imaging and related techniques are provided to detect thermal and non-thermal anomalies at reduced false detection rates. A multispectral imaging system includes an infrared light imaging sensor that captures infrared image data in a first spectral band, of a scene and an ultraviolet light imaging sensor that captures ultraviolet image data in a second spectral band, of the scene. The system also includes a processor that combines the ultraviolet image data and the infrared image data to generate composite image data, determines a ratio of a first radiant intensity in the first spectral band to a second radiant intensity in the second spectral band, from the composite image data, and determines whether the ratio corresponds to a predetermined radiant intensity ratio of a known thermal or electrical anomaly. The processor can detect the thermal or electrical anomaly when the determined ratio corresponds to the predetermined radiant intensity ratio.

An arrangement for data recording and sampling for an agricultural machine includes a sensor set-up arrangement to detect properties contained in a material stream, means of taking a sample of the material from the material stream, and an electronic control unit. The control unit is configured to perform the following steps in response to a tripping signal: (a) instruct an actuator to bring the means into a position for sampling; (b) starting a recording of raw sensor arrangement data in a memory; (c) after depositing the sample at a desired sampling location, stop recording the raw data and instruct the actuator to return the means from the sampling position to an inactive position; and (d) store identification data to identify the sample together with the raw data in memory.

A rearview mirror system for a vehicle providing a direct reflection of scenes in good light and an enhanced display of scenes in bad lighting includes a housing defining an opening, a display screen arranged at the opening, a camera, a fill light lamp, and a controller. The display screen is light-pervious at only one side. The camera and the fill light lamp are arranged on the housing. An image processing chip and the controller are arranged between the display screen and the housing. When ambient brightness is below a preset brightness value, the camera and the fill light lamp are activated, the camera captures images of side and rear scenes of the vehicle and generates an optical signal, the image processing chip, based on the optical signal, outputs an enhanced image on the display screen for better driving safety. A vehicle including the rearview mirror system is also disclosed.

Techniques for providing real-time vehicle surveillance is disclosed. An in-vehicle surveillance device continuously captures images from the surroundings of a vehicle and the interior of the vehicle and transmits them to a surveillance management system. The images are processed in real-time using machine learning modules to determine primary, secondary, and adverse events. Upon determining the events, alerts are generated and sent to a display unit provided on the in-vehicle surveillance device to improve the safety of the passengers. The techniques further allow vehicle-to-vehicle communication and vehicle to third party device communication upon determining an event.

Described herein are techniques that may be used to identify and indicating events within a media content file. Such techniques may comprise receiving a media content having been collected by a media collection device as well as receiving sensor data corresponding to the media content. The techniques may further comprise determining, based on the received sensor data, at least one event to be associated with the media content, generating at least one event indicator to be associated with the media content based on the determined at least one event, and providing the media content and the at least one event indicator to a recipient computing device.

Systems and methods are provided to perform PdM surveys using data acquisition units which scan screen multiple locations where equipment or structures to be evaluated are present. Video data will be acquired and processed to measure translational and vibratory motion and additional data will be collected from other camera, sensors or via data links. The motion present in the equipment or structures under test and the supplemental data will be automatically evaluated to detect suspect equipment conditions and to minimize the amount of video data maintained on the data acquisition unit and transmitted back the central PdM server for review by a PdM analyst and long term archival.

A teleoperations system may be used to selectively override conditions detected by an autonomous vehicle to enable the autonomous vehicle to effectively ignore detected conditions that are identified as false positives by the teleoperations system. Furthermore, a teleoperations system may be used to generate commands that an autonomous vehicle validates prior to executing to confirm that the commands do not violate any vehicle constraints for the autonomous vehicle. Still further, an autonomous vehicle may be capable of dynamically varying the video quality of one or more camera feeds that are streamed to a teleoperations system over a bandwidth-constrained wireless network based upon a current context of the autonomous vehicle.