The present invention relates to a fire pre-detection device and, particularly, to a fire pre-detection device for pre-detecting a fire on the basis of the difference between a temperature of a thermal image acquired by a thermal imaging camera and a temperature of a differential thermal image, and finally detecting the fire by using a flame detector. The fire pre-detection device according to the present invention can pre-detect a fire sign or a fire through a thermal image and finally detect the fire through the flame detector, so as to pre-detect a fire and more clearly detect the occurrence of a fire.

A non-contact body temperature measuring device includes a temperature measuring unit, a Doppler radar, a processing unit, and a display unit. The temperature measuring unit measures a temperature of a human body in a non-contact manner. The Doppler radar emits radar waves to the human body and receives reflected radar waves. The processing unit, which is electrically connected to the temperature measuring unit and the Doppler radar, determines measurement spots on the human body based on the reflected radar waves, controls the temperature measuring unit to measure temperatures of the measurement spots, and generates a body temperature measuring value based on the temperatures of the measurement spots. The display unit is electrically connected to the processing unit for displaying the body temperature measuring value.

A device including a sensor is disclosed. In one embodiment, the sensor includes a thermal infrared sensor or a sensor based on CMOS-SOI-MEMS technology (also referred to as “TMOS”). The sensor is capable of performing at least two functions at the same time. The first is remote temperature measurement and the second is presence detection. The sensor passively collects infrared information and a microprocessor coupled to the sensor determines the temperature as well as presence.

There is provided a recognition system adaptable to a portable device or a wearable device. The recognition system senses a body heat using a thermal sensor, and performs functions such as the living body recognition, image denoising and body temperature prompting according to detected results.

In an aspect of the present disclosure is a system for monitoring health of a motor, including at least one sensor configured to detect at least a motor metric and send motor datum based on the at least a motor metric, an augmented reality display configured to display a visual representation of the motor datum, and a computing device communicatively connected to the at least one sensor and the augmented reality display, wherein the computing device is configured to: receive the motor datum from the at least one sensor; and command the augmented reality display to display the visual representation of the motor datum.

Thermal imaging systems can include an infrared camera module (200), a user interface (208), a processor (222), and a memory. The memory can include instructions to cause the processor (222) to perform a method upon a detected actuation from the user interface (208). The method can include performing a non-uniformity correction (1702) to reduce or eliminate fixed pattern noise from infrared image data from the infrared camera module (200). The method can include capturing infrared images (1704) at a plurality of times and register the captured images via a stabilization process (1706). The registered, non-uniformity corrected images can be used to perform a gas imaging process (1700). A processor (222) can be configured to compare an apparent background temperature in each of a plurality of regions of infrared image data to a target gas temperature. The processor (222) can determine if such regions lack sufficient contrast to reliably observe the target gas.

In a method for estimating thermal sensation, thermal environment information at least regarding a thermal environment of or around a person is obtained, (1) a method for estimating a first thermal sensation, (2) a method for estimating a second thermal sensation, or (3) both the method for estimating the first thermal sensation and the method for estimating the second thermal sensation is selected as a method for estimating thermal sensation, which indicates a degree of warmth or coldness of the person, on the basis of the thermal environment information, and the thermal sensation is estimated using the selected method.

The object detection sensor includes: a sensing unit to detect to-be-detected rays from a target object to output a sensing signal, a control unit to command output of a predetermined detection signal in response to input of sensing signal, a sensor output to output predetermined detection signal in response to command, a test signal reception to receive a test signal, and a test signal response to output a test response signal in response to reception of test signal, and further includes: a learning mode transition input to start a learning mode, a test signal determination to determine a state of received test signal in learning mode, a test signal estimation to estimate a characteristic of test signal from determined state of test signal, and a test signal verification to verify whether estimated characteristic of test signal is included in test signal received by test signal reception.

Methods and systems of heating a substrate in a vacuum deposition process include a resistive heater having a resistive heating element. Radiative heat emitted from the resistive heating element has a wavelength in a mid-infrared band from 5 μm to 40 μm that corresponds to a phonon absorption band of the substrate. The substrate comprises a wide bandgap semiconducting material and has an uncoated surface and a deposition surface opposite the uncoated surface. The resistive heater and the substrate are positioned in a vacuum deposition chamber. The uncoated surface of the substrate is spaced apart from and faces the resistive heater. The uncoated surface of the substrate is directly heated by absorbing the radiative heat.

A flame detector configured for radiant energy monitoring, quantification, and information transmission. The system has at least one optical sensor channel, each including an optical sensor configured to receive optical energy from a surveilled scene within a field of view, the channel producing a signal providing a quantitative indication of the optical radiation energy received by the optical sensor within a sensor spectral bandwidth. A processor is responsive to the signal from the at least one optical sensor channel to provide a flame present indication of the presence of a flame, and a quantitative indication representing a magnitude of the optical radiation energy from the surveilled scene. An Artificial Neural Network may be used to provide an output corresponding to a flame condition.