Systems and methods for detecting or following a person within an observed area. One example system includes a sensor and a processor configured to: receive, from the sensor, a series of readings indicative of the person in the observed area, wherein the observed area is divided into a plurality of zones; determine a sequential occurrence of each of a plurality of ordered events by applying a detection threshold value to the series of readings, wherein the detection threshold value is lower than a noise threshold of the sensor, and wherein each of the plurality of ordered events is associated with at least one of the plurality of zones; and determine a trigger condition based on the sequential occurrence of each of the plurality of ordered events; and provide an instruction to a fixture based on the trigger condition.

The application provides an ear thermometer with a probe cover ejection device. The ear thermometer comprises a holding body and a measuring assembly disposed at one end of the holding body, which comprises a probe, a rotating member, and a socket. The rotating member includes a ring cover with an opening formed in a middle of the ring cover, at least one first abutting portion axially extended from a lateral side of the ring cover, and a lever portion radially extended from the lateral side of the ring cover. The socket includes a circular bottom surface and a closed section and an open section defined on a periphery of the circular bottom surface, a side wall surface vertically provided on the closed section, an accommodating space sandwiched between the side wall surface and the circular bottom surface, and at least one second abutting portion formed on the circular bottom surface. In this way, the dual motions of the radial and axial directions can be used to ensure that the probe cover can be reliably ejected and removed from the probe.

Disclosed herein is a vehicle theft prevention device. The device can include a data store including event configuration data. The device can include one or more sensors that can sense various types of measurements proximate to a vehicle. The device can include a computing device in communication with the sensors. The computing device can read measurements from the sensors and determine that a particular event has occurred. The computing device can analyze the measurements to determine the particular event occurred based on the event configuration data. When the particular event occurs, the computing device can perform one or more remedial actions.

Systems and methods include an infrared camera configured to capture an infrared image of a scene, a visible-light camera configured to capture a visible-light image of the scene, and a logic device configured to simultaneously capture a pair of images of the scene comprising the infrared image of the scene and the visible image of the scene, align the pair of images so that a pixel location in one of the pair of images has a corresponding pixel location in the other image, classify the visible image, annotate the infrared image based, at least in part, on the classification of the visible image, and add the annotated infrared image to a neural network training dataset for use in training a neural network for infrared image classification. A beamsplitter is arranged to reflect a first image of the scene towards the infrared camera and pass through a second image of the scene to the visible-light camera, and a first blackbody is attached thereto and positioned in a field of view of the infrared camera.

A distance measurement system according to the invention includes a processor, a distance measurement device, and a heat detection device. In the distance measurement system, the distance measurement device can measure a distance to a subject and can generate a distance image related to the subject whose distance has been measured. The heat detection device can measure the temperature of the subject and can generate a temperature image related to the subject whose temperature has been measured. The processor can associate the distance image and the temperature image acquired from the same point of view and determine whether or not the subject is an object on the basis of a distance value and a temperature value at the same position in the images.

A method for controlling a chemical recovery boiler. The method includes measuring concentrations of sodium carbonate, sodium sulfide, and sodium sulfate from green liquor of the chemical recovery boiler, determining a target temperature for smelt, imaging at least an area of a char bed of the chemical recovery boiler, the area being close to a smelt spout, to obtain an image of the area, determining a measured temperature of the char bed using the image of the area. The method further includes determining that the measured temperature of the char bed is less than the target temperature for smelt, and controlling the chemical recovery boiler such that the temperature of the char bed increases. A chemical recovery boiler for the same.

A thermal image auxiliary processing method includes the following steps. A reference part is prepared. A reference positioning point or a reference positioning surface is established with the reference part. A cutting tool or a grinding tool is positioned with the reference positioning point or the reference positioning surface. According to a thermal image, a determined positioning point or a determined positioning surface is obtained. Through the above method, the present disclosure can be used for auxiliary positioning and wearing measurement of the cutting tool or the grinding tool, as well as for measuring the size, the angle or flatness of an object to be measured. Therefore, the present disclosure can avoid the problems of increased equipment downtime and realign errors caused by manual and visual measurement.

An apparatus and method for inspecting articles incorporating positive temperature coefficient resistors. The inspection apparatus includes a computing device, a power source, a housing, a support, and a thermal imager, each mounted within an interior volume of the housing. The inspection method includes receiving a first thermal image of the unpowered article mounted within the support and receiving a second thermal image of the powered article after an optimized time delay. The method further includes outputting a health indication of the positive temperature coefficient resistors based on a comparison of the first thermal image and the second thermal image.

A device for occupancy detection of a space includes a passive infrared (PIR) sensor having a fixed field of view; an infrared reflector positioned proximate to the PIR sensor for re-directing infrared radiation received from within the space toward the PIR sensor; an electromechanical device coupled to the infrared reflector and operative to alter a pointing angle thereof in response to a control signal; and, detection and control circuitry (or a microcontroller), coupled to the PIR sensor and the electromechanical device, operative to receive a signal from the PIR sensor indicative of motion of a person within the space, and further operative to selectively alter the pointing angle of the infrared reflector, using the electromechanical device, whereby the relative position of the person is shifted within the fixed field of view of the PIR sensor, thereby simulating motion of the person even when stationary.

Described herein is a method of detecting anomalies on a surface of a structure. The method may comprise taking a thermal image of the surface of the structure. The method may further comprise taking a visual image of the surface of the structure. The method may then comprise conducting a thermal image numerical analysis on the thermal image. The thermal image numerical analysis may comprise obtaining a thermal image numerical value table. The thermal image numerical analysis may then comprise obtaining a surface nominal thermal value of the surface material. The thermal image numerical analysis may then comprise eliminating a first subset of pixels having a thermal value within a nominal thermal variation from the plurality of pixels. The thermal image numerical analysis may then comprise comparing the thermal value of each pixel of the plurality of pixels not in the first subset of pixels to the surface nominal thermal value to identify at least one anomaly. The thermal image numerical analysis method may then comprise removing a first number (n.sub.1) of first anomalies from the thermal image numerical analysis. Finally, the method may comprise comparing the first anomalies from the thermal image numerical analysis to the visual image.