A system for detecting an oil leak can include: at least one infrared imaging sensor; and an imaging analysis computer operably coupled with the at least one infrared imaging sensor. The imaging analysis computer can be configured to control any infrared imaging sensor and acquire infrared images therefrom at any rate and in any duration. The imaging analysis computer can be configured to analyze the infrared images in order to detect an oil leak. The imaging analysis computer can be configured to detect oil on a surface (e.g., solid surface or water surface) where oil should not be (or is not present in a baseline) in order to determine that there is an oil leak in the vicinity.

A computer system determines a likelihood of the presence of flame in a scene. The system obtains a series of digital infrared and optical images of the scene; identifies a candidate region in a location of the scene based on analysis of the infrared images;

identifies an optical image slice based on analysis of the optical images and the location of the candidate region; and determines a likelihood of the presence of flame in the scene based on analysis of the optical image slice. Analysis of the infrared images includes detecting a high-temperature image region that exceeds a threshold temperature; detecting a turbulent motion image region; and determining whether the turbulent motion region is within a specified proximity of or overlaps with the high-temperature region. The optical image slice may be provided to a trained neural network, which returns a degree-of-confidence value that indicates whether flame is present.

A compact, portable Raman spectrometer makes fast, sensitive standoff measurements at little to no risk of eye injury or igniting the materials being probed. This spectrometer uses differential Raman spectroscopy and ambient light measurements to measure point-and-shoot Raman signatures of dark or highly fluorescent materials at distances of 1 cm to 10 m or more. It scans the Raman pump beam(s) across the sample to reduce the risk of unduly heating or igniting the sample. Beam scanning also transforms the spectrometer into an instrument with a lower effective safety classification, reducing the risk of eye injury. The spectrometer's long standoff range automatic focusing make it easier to identify chemicals through clear and translucent obstacles, such as flow tubes, windows, and containers. And the spectrometer's components are light and small enough to be packaged in a handheld housing or housing suitable for a small robot to carry.

A system for detecting an hotspots can include: at least one infrared imaging sensor; and an imaging analysis computer operably coupled with the at least one infrared imaging sensor. The imaging analysis computer can be configured to control any infrared imaging sensor and acquire infrared images therefrom at any rate and in any duration. The imaging analysis computer can be configured to analyze the infrared images in order to detect temperatures and identify hotspots. The temperature and hotspot information can be used to control a cooling system that can spray water on and around hotspots for temperature control.

A system for measuring temperatures of a preheater of a rotary kiln can include: at least one infrared imaging sensor for each level of the preheater; and an imaging analysis computer operably coupled with the at least one infrared imaging sensor of each level of the preheater. The imaging analysis computer can be configured to: obtain a 3D model of a preheater level of the preheater; obtain at least one infrared image of a fixed field of view of the preheater level of the preheater; analyze all pixels in the fixed field of view of the at least one infrared image for each pixel temperature; generate a 2D temperature model of the preheater level; overlaying the 2D temperature model over the 3D model to generate a virtual 3D preheater level temperature model; and providing a visual representation of the virtual 3D preheater level temperature model.

Adaptive wireless node-implemented systems and methods are described for detecting an environmental anomaly related to a shipping container and reporting a layered alert notification to an external transceiver on a transit vehicle transporting the shipping container. The system has ID nodes within the container (a portion of which being associated with objects transported in the container), a primary command node within the container, and a designated survivor command node mounted to the container. The primary command node monitors signal activity from the ID nodes, identifies the environmental anomaly based upon the signal activity, generates the alert notification (identifying a targeted mediation recipient and mediation action, and establishing a mediation response priority), and transmits the alert notification to the external transceiver to initiate a mediation response. The designated survivor command node takes over as the primary command node when unable to communicate with the primary command node.

A temperature abnormality detection system of the present invention includes a first temperature sensor that measures a first temperature indicated by a target device and a second temperature sensor that measures a second temperature indicated by ambient air around the target device. A temperature difference between the first temperature and the second temperature is calculated, and when this temperature difference becomes a predetermined threshold value or more, it is determined that a temperature abnormality of the target device has occurred.

A method and system of verifying asphalt mat temperature values and location data generated by a paving machine includes identifying a location and temperature value of a threshold thermal characteristic of thermal data generated by the paving machine, and displaying the paver-generated location and temperature value of the threshold thermal characteristic on a display of the paving machine. The method further includes determining a location and temperature value of the threshold thermal characteristic by one or more external systems, and comparing the externally-determined location and temperature value to the paver-generated location and temperature value.

An enhanced shipping container apparatus generally includes a shipping container housing, sensor-based ID nodes in different locations on the housing, and a command node mounted to the housing. The ID nodes have environmental sensors that generate sensor data on an environmental condition proximate each respective ID node. The command node is programmatically configured to detect sensor data broadcasted from the ID nodes; identify an environmental anomaly for the shipping container when the detected sensor data does not include sensor data from a threshold number of ID nodes and when sensor data detected indicates an environmental condition exceeding an environmental threshold; and initiate a mediation response related to a targeted mediation action (identified by the command node) by transmitting a layered alert notification to an external transceiver.

Systems for layered initiation of a mediation response to a battery-related environmental anomaly may have a node-enabled battery, a secondary sensor-based node disposed next to the node-enabled battery, and a command node. The command node is programmatically configured to be operative to conduct an initial level of anomaly monitoring by monitoring signals from the node-enabled battery over time for unanticipated ceased broadcasting per a profile and monitoring environmental sensor data from the secondary node; identify an initial level of the environmental anomaly when both the unanticipated state of ceased broadcasting is detected and the monitored broadcasted environmental sensor data reflects at least a first threshold difference change in the environmental sensor data; conduct a secondary level of anomaly monitoring of sensor data broadcasts from the secondary node; and broadcasting a layered alert notification to initiate a mediation response to the anomaly based upon the secondary level of anomaly monitoring.