A system for quantifying building envelope energy loss, including a camera assembly for acquiring a building image set of said building envelope reflecting actual energy loss from the building envelope, a comparison image generator for generating a comparison image set using the building image set, data relating to said building, and a predetermined energy loss standard, the comparison image set reflecting a standard energy loss profile of the building envelope that meets the predetermined energy loss standard, an image comparator for comparing the building image set to the comparison image set to determine at least one extent to which the actual energy loss exceeds to the energy loss profile.

A burner work measurement system configured to measure work using a burner is provided. The burner work measurement system includes one or more cameras configured to capture the work and a control unit configured to perform computing processing on images captured by the cameras, the control unit is configured to create work data obtained by calculating, based on the images captured by the cameras, at least one of a positional relation between a work object and the burner or flame, a positional relation between the work object and a brazing filler metal, and a positional relation between the burner or the flame and the brazing filler metal.

A method of training a neural network for spectrographic monitoring includes polishing a test substrate, measuring by an in-situ spectrographic monitoring system a sequence of test spectra of light reflected from the substrate and measuring by an in-situ non-optical monitoring system a sequence of test values from the substrate during polishing of the test substrate, measuring at least one of an initial characterizing value for the substrate before polishing or a final characterizing value for the substrate after polishing, inputting the sequence of test values and the initial characterizing value and/or final characterizing value into a thickness predictive model that outputs a sequence of training values with each respective training value in the sequence of training values associated with a respective test spectrum from the sequence of test spectra, and training an artificial neural network using the plurality of training spectra and the plurality of training values.

Systems, methods, and devices for thermal detection. A thermal detection device includes a visual sensor, a thermal sensor (e.g., a thermopile array), a controller, a user interface, a display, and a removable and rechargeable battery pack. The thermal detection device also includes a plurality of additional software and hardware modules configured to perform or execute various functions and operations of the thermal detection device. An output from the visual sensor and an output from the thermal sensor are combined by the controller or the plurality of additional modules to generate a combined image for display on the display.

A system for interdicting access to a secured venue by automatically detecting the presence of weapons or other threats on attendees as they enter the site is provided. Cameras or other detectors, coupled with machine learning techniques identify from video streams or other sensor signals whether attendees openly or covertly have weapons or other threats on or near their person. In addition, wellness checks such as temperature measurements are performed. The system may also incorporate an automatic ticket scanner.

A cellular trail camera system is disclosed and may include a housing; a mounting bracket for mounting the camera; a visible sensor; an infrared sensor; and a plurality of Fresnel lenses each operable to be individually mounted to or with the infrared sensor and to focus infrared light to the infrared sensor from a different direction. One of the Fresnel lenses may be mounted to or with the housing during operation. The housing may include a wireless transceiver, which may communicate via a cellular network. The camera may communicate with a wireless communication device via the wireless transceiver. The camera may communicate images and/or video to the wireless device. The infrared sensor may include a plurality of elements. The camera may be powered by a solar cell that is mounted on the camera or remote from the camera. The visible sensor may be activated when the infrared sensor detects a heat-generating object.

A thermometer includes one or more temperature sensors mounted on a housing. The one or more temperature sensors determine a temperature of at least one measurement site without contact. The non-contact thermometer displays an indicator to assist alignment of the one or more temperature sensors with the at least one measurement site, receives at least one measurement reading from the at least one measurement site, determines a temperature based on the at least one measurement reading, and displays the temperature on a display unit.

Systems and methods are provided for logging temperatures of food products using a temperature assembly including a housing and one or more temperature sensors, e.g., an infrared sensor for surface temperatures and an elongate probe for acquiring a temperature within a food product, and a mobile electronic device including a camera, a communication interface for communicating with the temperature assembly, a processor configured to acquire a temperature reading from the temperature assembly and an image from the camera when the temperature reading is acquired, and memory for storing the temperature reading and image.

An example method of infrared access, comprising, receiving a plurality of visual images, receiving a plurality of infrared images, calibrating the plurality of visual images to the plurality of infrared images, determining an average temperature of the plurality of infrared images, determining an outlier temperature of an outlier infrared image of the plurality of infrared images and matching the outlier infrared image to a visual image.

A thermal image sensing system including at least one thermal sensor, at least one light sensor, an image identification module, a storage module and a computing module is provided. The thermal sensor senses thermal radiation emitted by an object and generates a thermal radiation image signal correspondingly. The light sensor senses visible light reflected by the object and generates at least one visible light image signal correspondingly. The image identification module receives the visible light image signal generated by the light sensor and determines a material of the object according to the at least one visible light image signal. The storage module stores a radiation coefficient of the material of the object. The computing module calculates a surface temperature of the object according to the radiation coefficient of the material of the object and the thermal radiation emitted by the object. A thermal image sensing method is also provided.