2149 results about "Thermal infrared" patented technology

The invention relates to a high voltage overhead transmission line line-inspection unmanned aerial vehicle photoelectric detection device belonging to the technical field of power line inspection. The invention aims at solving the problem of single technology of the existing overhead transmission line line-inspection. The high voltage overhead transmission line line-inspection unmanned aerial vehicle photoelectric detection device mainly comprises an unmanned aerial vehicle, a GPS (global position system) inertial integrated attitude azimuth detection device, a damping device, a rotation detection nacelle, a ground data receiving processor and a controller. The high voltage overhead transmission line line-inspection unmanned aerial vehicle photoelectric detection device is characterized in that the GPS inertial integrated attitude azimuth detection device is arranged at the inner part of the unmanned aerial vehicle; the rotation detection nacelle is hung below the unmanned aerial vehicle by the damping device; a photoelectric stabilized platform is installed in the rotation detection nacelle; flexible combination of any two or more of a visible light camera, an ultraviolet ray imager and a full-digital dynamic thermal infrared imager and a laser ranging device are borne on the photoelectric stabilized platform; and the rotation detection nacelle is provided with a visible window. With the adoption of the high voltage overhead transmission line line-inspection unmanned aerial vehicle photoelectric detection device, a high voltage transmission line can be monitored, and a comprehensive and precise high voltage overhead transmission line line-inspection task is realized by combining interchange among a plurality of sensors.

A methodology for forming a composite color image fusion from a set of N gray level images takes advantage of the natural decomposition of color spaces into 2-D chromaticity planes and 1-D intensity. This is applied to the color fusion of thermal infrared and reflective domain (e.g., visible) images whereby chromaticity representation of this fusion is invariant to changes in reflective illumination.

A system for direct injection of selected thermal-infrared (IR) wavelength radiation or energy into food items for a wide range of processing purposes is provided. These purposes may include heating, raising or maintaining the temperature of the food articles. The system is especially applicable to operations that require or benefit from the ability to irradiate at specifically selected wavelengths or to pulse or inject the radiation. The system is particularly advantageous when functioning at higher speeds and in a non-contact environment with the target.

The invention provides a method and a system for detecting forest fire. The system is composed of a forest monitoring point which comprises a heavy-duty digital tripod head 1, a thermal infrared imager 2, a visible light camera 3, a micro-meteorological station 4, embedded video processing equipment 5 and a communication bridge 6, and a command and control center which comprises a telemonitoring computer 7 and a communication bridge 8, wherein, the two communication bridges are communicated by a microwave wireless Tcp/IP network. The fire detection work is sequentially performed by the following six major steps: (1) field data acquisition, (2) image data processing, (3) fire recognition and analysis, (4) transmission of recognition results, (5) fire probability assessment and (6) automaticfire early warning. The method and the system combines video compression and decompression technology, thermal infrared image recognition and analysis technology, visible light color image recognition and analysis technology, embedded technology, wireless communication technology, remote sensing (RS) technology and 3D geographic information system technology to automatically recognize forest fireand analyze fire strategies, thus the method and the system are characterized by high detection probability of forest fire, low false alarm rate, no artificial participation, strong timeliness, highreliability, advanced technological means and wide market prospects.

A thermal imaging interface for control of a computer program may obtain one or more thermal infrared images of one or more objects with one or more thermographic cameras. The images may be analyzed to identify one or more characteristics of the objects. Such characteristics may be used as a control input in the computer program.

The invention discloses a binocular visible light camera and thermal infrared camera-based target identification method. The method comprises the steps of calibrating internal and external parametersof two cameras of a binocular visible light camera through a position relationship between an image collected by the binocular visible light camera and a pseudo-random array stereoscopic target in a world coordinate system, and obtaining a rotation and translation matrix position relationship, between world coordinate systems, of the two cameras; according to an image collected by a thermal infrared camera, calibrating internal and external parameters of the thermal infrared camera; calibrating a position relationship between the binocular visible light camera and the thermal infrared camera;performing binocular stereoscopic visual matching on the images collected by the two cameras of the binocular visible light camera by adopting a sift feature detection algorithm, and calculating a visible light binocular three-dimensional point cloud according to a matching result; performing information fusion on temperature information of the thermal infrared camera and the three-dimensional point cloud of the binocular visible light camera; and inputting an information fusion result to a trained deep neural network for performing target identification.

The invention discloses a night pedestrian identification method and a system thereof based on thermal infrared gait. The steps of the method comprise detecting and dividing the pedestrian from infrared video images to obtain image sequences of the thermal infrared gait, employing an average gray image to describe videos of the thermal infrared gait to obtain features of the thermal infrared gait and identifying the thermal infrared gait of the pedestrian in the thermal infrared video images, based on a nearest neighbor classifier and taking the average gray image as the description of identity. The system comprises an acquisition module of the thermal infrared video images and an analysis processing module for the infrared images. Experiments on a CASIA night infrared gait data bank and an NLPR day visible light modal gait data bank prove that the invention has effectiveness for identification of the night pedestrian and strong identification ability of gait representation mode. The invention is applied to security monitoring of special occasions.

The invention relates to a large-scale photovoltaic power station inspection device based on double cameras carried on an unmanned aerial vehicle. The large-scale photovoltaic power station inspection device is mainly characterized in that a lightweight unmanned aerial vehicle or an unmanned system is used for performing inspection on the large-scale photovoltaic power station; and furthermore a thermal infrared imager and a visible light camera as detecting tools are mounted on the unmanned aerial vehicle for detecting a photovoltaic cell panel. An infrared image and a visible light image which are acquired by the double cameras are processed by a computer through an algorithm, thereby obtaining a conclusion whether the fault of the photovoltaic cell panel occurs. Furthermore a man-machine interaction interface is designed for displaying the image, the conclusion, etc. Compared with an existing fault monitoring method of the photovoltaic cell panel, the large-scale photovoltaic power station inspection device has advantages of improving reliability of a monitoring result, reducing manpower and physical resource, improving cost benefit, reducing work hour and realizing detection for invisible faults in the photovoltaic cell panel.

The invention provides face detection and tracking algorithm of the infrared thermal image sequence, which is characterized by carrying out face detection on the infrared thermal images in combination with the face detection algorithm of the visible-light images and carrying out face tracking on the infrared thermal image sequence in combination with the face tracking algorithm of the visible-light image sequence. The algorithm provided by the invention can realize selective target (face) temperature measuring and selective target (face reaching the warning temperature) tracking and temperature measuring. The algorithm provided by the invention avoids the difficulty of whole registration of the infrared thermal images and the visible-light images with different properties. The algorithm is applied to the thermal infrared imagers and can organically combine the infrared thermal image information systems and the visible-light image information systems of the thermal infrared imagers, construct an image information system with certain intelligent information processing capability and expand the application field of the thermal infrared imagers.

The invention discloses a forest fire detection, prevention and control method based on an unmanned aerial vehicle. According to the forest fire detection, prevention and control method, the mode that visible-light images and thermal infrared images are combined is adopted, a forest fire can be judged by observing thermal image difference values of high-brightness points of the images, and fire extinguishing bags are released so as to extinguish fire head points in time or control fire behaviors primarily; accurate analysis is further conducted through a receiving station on the ground, abnormal areas missed during rough judgment conducted by the unmanned aerial vehicle can be found in time, and particularly monitoring can be achieved more effectively by forming a percentage distribution diagram of fire behavior possibility coefficients; efficiency and accuracy are high.

A handheld target marker is provided, wherein the target marker includes a housing retaining a gas laser, a collimating or focusing lens, a driver and a power supply. The laser produces a thermal infrared beam which can be selectively directed to impinge upon a target. The impinging beam is viewable by a thermal imager. The handheld target marker operates at ambient temperatures and incorporates the driver and power supply necessary for operation of the laser, wherein the beam can be pulsed for enhancing imaging on the thermal imager.

The invention relates to a rat infestation intelligent monitoring system and method based on a cloud server. The system comprises a thermal infrared camera equipment, an intelligent terminal and a cloud server connected in order; the thermal infrared camera equipment monitors motion trails of the rate by using thermal infrared sensing technology and the camera technology and sends the monitored video frame to an intelligent terminal; the intelligent terminal judges a mobile object, records the current video frame and marks the motion trails, and transmits the video clip with the motion trailsto the cloud server; the cloud server identifies the mobile rate and saves the current video clip, and marks the rat location and the motion trails in the current video clip, and then performs the data summary analysis processing to obtain the related parameter information about the rat activity so as to realize the rat infestation intelligent monitoring. The system performs rough identification through the intelligent terminal and finely identifies the mobile rate in cooperation with the cloud server, the rat infestation intelligent monitoring is realized, the rat infestation can be discovered and controlled as early as possible, the unnecessary loss is reduced, the manual cost is lowered, and the monitoring efficiency is improved.

The invention discloses an infrared radiation precise temperature measuring method. The infrared radiation precise temperature measuring method comprises the following steps that: Step 1: ambient reflection temperature Tu is measured; step 2: ambient atmospheric temperature T alpha is measured through using a thermometer, and atmospheric transmittance tau alpha is calculated according to the distance between a measured object and infrared radiation temperature measuring equipment; step 3: the radiation temperature Tr of the measured object is measured through using the infrared radiation temperature measuring equipment; step 4: the emissivity epsilon n and the reflectivity Rho n of the measured object as well as the sum alpha of the emissivity and the reflectivity are determined, wherein the alpha <= 1; step 5: measurement values of T alpha, Tu and Tr are input to the infrared radiation temperature measuring equipment, such that the value I (T alpha) of an ambient atmospheric temperature signal, the value I (Tu) of an ambient reflection temperature signal and the value I (Tr) of a radiation temperature signal of the measured object are calculated, and the values are substituted into an actual object infrared temperature measuring formula which is mentioned in the description, such that the value I (T0) of the infrared radiation temperature measuring signal is calculated; and step 6: according to the calibration formula of a thermal infrared imager, conversion calculation is performed so as to obtain the authentic temperature T0 from the value I (T0) of the infrared radiation temperature measuring signal.

An infrared solid state imaging device includes a pixel area with arranged infrared detection pixels and a integration circuit for modulating output current based on the output of the pixel. The integration circuit contains an integrating transistor that modulates a current based on the difference in potential between first and second constant current devices, a integration capacitor for storing the modulated current and being reset periodically, a bias current supply transistor, a switch for connecting the drain with the gate of the bias current supply transistor, a capacitor providing AC coupling between the output of the integrating transistor and the integrating capacitor, a gate bias switch for providing the integrating transistor with a bias voltage, a switch for selecting, as input to the integrating transistor, either one of outputs from the first and second constant current devices, and a capacitor for providing AC coupling between the switch and the gate of the integrating transistor.

A hand-held mobile communication device, such as smart telephone, alone or in protective case, incorporating sensors and signal conditioning modules for measuring signals from external sources of electromagnetic radiation (EMR) in different spectral ranges. These include detector monitoring EMR that pose potential health hazards or may interfere with various electronic devices. Other integrated EMR sensor is a photodiode for the ultraviolet detection to monitor the user's sun exposure and a thermal infrared detector for non-contact measurement of temperature of humans or inanimate objects. This detector in combination with a digital camera and a pattern recognition signal processing allows accurate non-contact measuring temperatures at specific location.

A thermal infrared detector includes a substrate; a temperature sensor having electrical characteristics changed in accordance with changes in temperature caused by infrared absorption; heat-insulating supporting legs supporting and thermally insulating the temperature sensor and serving as signal lines for reading out electrical signals from the temperature sensor; and an infrared absorption layer in thermal contact the temperature sensor. Each of the temperature sensor, the heat-insulating supporting legs, and the infrared absorption layer is in a different plane and the planes are spatially separated from each other.

A thermal infrared sensor is provided in a housing with optics and a chip with thermoelements on a membrane. The membrane spans a frame-shaped support body that is a good heat conductor, and the support body has vertical or approximately vertical walls. The object is to provide a thermopile infrared sensor in monolithic silicon micromachining technology, wherein the infrared sensor has a high thermal resolution capacity with a small chip size, a high degree of filling and a high response rate. The thermopile sensor structure consists of a few long thermoelements per sensor cell. The thermoelements being arranged on connecting webs that connect together hot contacts on an absorber layer to cold contacts of the thermoelements. The membrane is suspended by one or more connecting webs and has, on both sides of the long thermoelements, narrow slits that separate the connecting webs from both the central region and also the support body. At least the central region is covered by the absorber layer.

The invention provides an unmanned aerial vehicle cruising and monitoring system for forest fire. The weight of the unmanned aerial vehicle is reduced, flight time is prolonged, an unmanned aerial vehicle cruising range is enlarged, route planning is carried out for fire monitoring, and an unmanned aerial vehicle flight control system is combined with a geographic information system. The route planning not only guarantees monitoring quality and monitoring full coverage but also considers the hardware parameters and the flight safety of the cruising unmanned aerial vehicle, a rotary head carries a thermal infrared imager and a colorful high-definition camera, the thermal infrared characteristics of the image of the forest fire are fully utilized, and an automatic monitoring and identification method for forest fire information is designed. Even if the forest fire monitoring distance of the unmanned aerial vehicle is long, fire characteristics can be accurately captured. A colorful high-definition image is compressed and transmitted back to a ground command post, a high-definition fire video image can be quickly transmitted to the ground, a fire position can be accurately reported, so that convenience is brought to the ground command post in accurately judging a fire situation and organizing people to fight the fire, and precious fire-fighting time is saved.

The invention relates to a fire monitoring method, in particular to a visible light-thermal infrared based multispectral multi-scale forest fire monitoring method which utilizes the advantages of a large-scale satellite remote sensing monitoring means and a small-scale near ground monitoring means to invent a novel monitoring method through reasonable configuration and mutual coordination of the two means. In the invention, the spectral features as well as picture pattern and textural features of forest fire points are researched, the forest fire recognition algorithms of visible light images and thermal infrared images are organically combined, and the interference and the like on forest combustion smoke and open fire recognition, which are caused by the cloud, fog, lamplight, red substances and the like of a forest district, are eliminated, so that the visible light-thermal infrared based multispectral multi-scale forest fire monitoring method by which various factor interferences can be eliminated is invented, thus a fire alarm automatic recognition function can be achieved, the manpower cost for 24-hour manual monitoring can be greatly lowered, and the accuracy of forest fire monitoring can be effectively improved.

The invention relates to an environment-friendly emergent unmanned aerial vehicle integrated system which is characterized by comprising an unmanned aerial vehicle, an unmanned aerial vehicle load monitoring system, a ground control station and a ground data processing center. The unmanned aerial vehicle load monitoring system comprises a load box, an unmanned aerial vehicle special camera, a thermal infrared camera and a wireless high-definition video transmission system, wherein the load box is installed on the unmanned aerial vehicle, and the unmanned aerial vehicle special camera, the thermal infrared camera and the wireless high-definition video transmission system are installed on the load box and are connected to transmit video image information to the ground control station in a real-time mode. The ground control station is communicated with the unmanned aerial vehicle through a wireless communication manner to control an airline planning of the unmanned aerial vehicle and intuitively displays airplane information and the video image information. A small-size onboard imaging spectrometer is connected with a DGPS/ IMU positioning and directional system. The environment-friendly emergent unmanned aerial vehicle integrated system is reasonable in design, capable of playing a positive role in accidental environmental pollution accidents and conventional environmental monitoring, and the ability of fast processing and analyzing environment emergent monitoring data is improved.

The invention discloses a machine room intelligent inspection system and a working method thereof. The machine room intelligent inspection system comprises system architecture, a robot local control center, a network system and a robot body, wherein the system architecture comprises an intelligent acquisition system, a wired network system and a management background; and the robot body comprisesa chassis motor, a high-definition camera, a thermal infrared imager, a camera holder, a gas detection sensor, a real-time intercom platform, an audible and visual alarm and an ultrasonic obstacle stopping system. Therefore, the machine room intelligent inspection system utilizes the robot to autonomously complete inspection of equipment, improves the predictability of the equipment by means of adata analysis historical curve, provides effective data support for state maintenance or state evaluation, so as to reduce the occurrence of accidents are reduced, and has high safety and high stability.