In an inspection method and apparatus, when an infrared (IR) image is obtained by using an IR camera and thermal image data corresponding to the obtained IR image is stored or inspected, confidence of the thermal image data is improved.

Embodiments of the present invention provide a computer-implemented method for identifying a specified object. The method includes collecting attributes of a physical object within a physical space, in which the attributes include an object temperature obtained via an (IR) sensor and an object shape obtained via an image sensor. A machine learning algorithm is executed to allocate a coordinate to the object based on the attributes. In response to a request from a user to locate the object, the physical space is scanned via the IR sensor and the image sensor to identify the object and to detect a present location. An indication of a location of the object is then displayed to the user, in which the indication is at least one of the present location of the object or a predicted location of the object.

A method of collecting radiation information of a turbine blade, the method including: 1) collecting a radiated light from the surface of the turbine blade, analyzing the radiated light using a spectrometer to calculate compositions and corresponding concentrations of combustion gas; 2) calculating an absorption coefficient of the combustion gas at different concentrations; 3) calculating a total absorption rate of the combustion gas at different radiation wavelengths under different concentrations of component gases; 4) obtaining a relationship between the radiation and a wavelength; 5) finding at least 3 bands with a least gas absorption rate; 6) calculating a distance between a wavelength of a strongest radiation point of the turbine blade and the center wavelength, and selecting three central wavelengths closest to the wavelength with the strongest radiation; and 7) acquiring radiation data of the turbine blade in the windows obtained in 6).

A system simultaneously tracks multiple objects. All or a subset of the objects includes a wireless receiver and a transmitter for providing an output. The system includes one or more wireless transmitters that send commands to the wireless receivers of the multiple objects instructing different subsets of the multiple objects to output (via their respective transmitter) at different times. The system also includes object sensors that receive output from the transmitters of the multiple objects and a computer system in communication with the object sensors. The computer system calculates locations of the multiple objects based on the sensed output from the multiple objects.

Embodiments of a system and a method for detecting voids in a cementitious board can be used in connection with the manufacture of products, including cementitious board products such as gypsum wallboard, for example. Such systems and methods can be used to generate numerical void measurements based upon a series of thermal images obtained during the continuous manufacture of the cementitious board.

A system simultaneously tracks multiple objects. All or a subset of the objects includes a wireless receiver and a transmitter for providing an output. The system includes one or more wireless transmitters that send commands to the wireless receivers of the multiple objects instructing different subsets of the multiple objects to output (via their respective transmitter) at different times. The system also includes object sensors that receive output from the transmitters of the multiple objects and a computer system in communication with the object sensors. The computer system calculates locations of the multiple objects based on the sensed output from the multiple objects.

A surgical system includes a first detector that includes a first array of pixels configured to detect light reflected by a surgical instrument and generate a first signal comprising a first dataset representative of a visible image of the surgical instrument. The surgical system also includes a second detector, comprising a second array of pixels configured to detect infrared radiation produced by the surgical instrument during a procedure using the surgical instrument and generate a second signal comprising a second dataset representative of an infrared image of the surgical instrument. The surgical system further includes a processor configured to receive the first and second signals, identify from the first dataset data representative of the surgical instrument, and identify from the second dataset data representative of one or more regions of the surgical instrument above a predetermined threshold temperature. The processor is also configured to generate a modified image of the surgical instrument based on data identified from the first and second dataset. The modified image includes visible indicia in the one or more region of the surgical instrument at or above the predetermined temperature.

A scale composition determination device (10) determines that Fe.sub.2O.sub.3 has been generated in the outermost layer of a scale (SC) in the case where the absolute value of a difference between temperatures of a steel material SM measured by radiation thermometers (20a, 20b) is equal to or more than a predetermined temperature, and determines that Fe.sub.2O.sub.3 has not been generated in the outermost layer of the scale (SC) in the case where the absolute value of the difference between the temperatures of the steel material SM measured by the radiation thermometers (20a, 20b) is not equal to or more than the predetermined temperature.

A system for analyzing thermal properties of a railroad includes a thermal imaging device configured to generate thermal image data reproducible as a thermal image of a portion of the railroad, the thermal image data being associated with a location of the portion of the railroad, an electronic display device, a memory device configured to receive and store therein the generated thermal image data; and one or more processors configured to: determine a temperature metric of the portion of the railroad based at least in part on the thermal image data; and cause the electronic display device to display (i) a first graph indicative of the temperature metric of the portion of the railroad and (ii) a second graph indicative of a railroad track geometry metric associated with the location of the portion of the railroad.

Embodiments of the present invention provide a computer-implemented method for identifying a specified object. The method includes collecting attributes of a physical object within a physical space, in which the attributes include an object temperature obtained via an (IR) sensor and an object shape obtained via an image sensor. A machine learning algorithm is executed to allocate a coordinate to the object based on the attributes. In response to a request from a user to locate the object, the physical space is scanned via the IR sensor and the image sensor to identify the object and to detect a present location. An indication of a location of the object is then displayed to the user, in which the indication is at least one of the present location of the object or a predicted location of the object.