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 camera system includes an administrator and a series of camera nodes which includes an audio microphone for also including sound in the video data file. The administrator includes a computer server, a wireless transmitter/receiver (transceiver), and machine learning (ML) chips. Each camera node includes a video capturing device or camera, a wireless transmitter/receiver (transceiver), a plurality of ML chips, and a GPS sensor. The ML chips are capable of receiving data in the form of a video file and processing the data to determine if the data includes “actionable” data. The ML chip makes certain inferences from the captured video data. The camera nodes are wirelessly linkable to each other. The communication between the several camera nodes form a “mesh network” wherein the several camera nodes may transmit data to each other, thus propagating the camera nodes with the mesh network with common data, rules, or inferences.

Secure communication in a geographic incident area is disclosed. Computer-implemented methods are also disclosed, one of which is for restricting access to a resource and includes generating a key and splitting it into N key parts (where N is an integer greater than two). The method also includes encrypting the N key parts. The method also includes transmitting, over a network, to a device: the N encrypted key parts; and identifying information for N secret objects expected to be visible within the area. Each of the N encrypted key parts is decryptable based on at least one video analytics-discernable object attribute for each respective secret object of the N secret objects. The method also includes allowing an additional entity to access the resource only by presentation of a complete key formed from decrypted versions of less than all of the N key parts.

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.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for monitoring events using a Virtual Inductive Loop system. In some implementations, image data is obtained from cameras. A region depicted in the obtained image data is identified, the region comprising lines spaced by a distance that satisfies a distance threshold. For each line included in the region: an object depicted crossing the line is determined whether to satisfy a height criteria indicating that the line is activated. In response to determining that an object depicted crossing the line satisfies the height criteria, an event is determined to have likely occurred using data indicating (i) which lines of the lines were activated and (ii) an order in which each of the lines were activated. In response to determining that an event likely occurred, actions are performed using at least some of the data.

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.

An imaging system may include a housing having shape and size sufficient to receive an industrial tool inserted into the housing. The imaging system may further include a plurality of cameras and a plurality of light sources positioned within the housing in a manner to surround the industrial tool upon insertion of the industrial tool into the housing. The imaging system may include a processing unit to control operation of the cameras and light sources and adjust relative positions of the cameras and light sources in relation to the industrial tool to capture a plurality of images of relevant portions of the industrial tool. The plurality of images collectively reveals substantially all of the relevant portions of the industrial tool. A method and computer-readable medium are also disclosed.

An imaging system may include a housing having shape and size sufficient to receive an industrial tool inserted into the housing. The imaging system may further include a plurality of cameras and a plurality of light sources positioned within the housing in a manner to surround the industrial tool upon insertion of the industrial tool into the housing. The imaging system may include a processing unit to control operation of the cameras and light sources and adjust relative positions of the cameras and light sources in relation to the industrial tool to capture a plurality of images of relevant portions of the industrial tool. The plurality of images collectively reveals substantially all of the relevant portions of the industrial tool. A method and computer-readable medium are also disclosed.

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 disclosure provides an infrared optical imaging lens, a camera module and a DMS. From an object side to an image side along an optical axis, the infrared optical imaging lens sequentially includes a stop, a first lens with a positive refractive power, a second lens with a positive refractive power, a third lens with a negative refractive power, and a filter. An object side surface of the first lens is convex, an image side surface of the first lens is concave. An object side surface of the second lens is concave, an image side surface of the second lens is convex. A paraxial portion of an object side surface of the third lens is convex, and a paraxial portion of an image side surface of the third lens is concave.