An infrared presence detector system includes a focal plane array and a processor coupled to the focal plane array. The array includes a first radiant energy sensor and a plurality of second radiant energy sensors, with the first and second radiant energy sensors configured to convert incident radiation into an electrical signal. The processor is coupled to the focal plane array, and is configured to control the focal plane array in a sleep mode, wherein the first radiant energy sensor is energized and the plurality of second radiant energy sensors are de-energized, and an active mode, wherein at least the plurality of second radiant energy sensors are energized when the first radiant energy sensor detects a presence.

A computer determines one or more temperature sensitive components from a part details in a bill of materials for soldering on a printed circuit board assembly, where the bill of materials is a record comprising part details having a reference designator. The computer determines whether temperature sensitive components exist in the bill of materials. Based on determining that at least one of the temperature sensitive components exist in the bill of materials, the computer determines temperature limits for each temperature sensitive component based on the reference designator, monitors, using the thermographic cameras the measured temperatures of the temperature sensitive components during soldering in the reflow oven. Then, based on determining that the measured temperatures of the temperature sensitive components exceeds the temperature limits, the computer determines an elapsed time outside of the temperature limit when the measured temperatures of the temperature sensitive components exceeds the temperature limits.

The present disclosure relates to systems and methods for processing infrared data. The methods may include obtaining one or more raw infrared data frames related to a target object. Each of the one or more raw infrared data frames may include raw infrared data including raw temperature information and raw grayscale information of the target object. The methods may further include generating one or more target infrared data frames corresponding to the one or more raw infrared data frames based on the raw infrared data. Each of the one or more target infrared data frames may include a frame header, an information header, and a data area. And for at least one of the one or more target infrared data frames, the data area may include substantially complete raw temperature information and substantially complete raw grayscale information.

The present disclosure relates to systems and methods for processing infrared data. The methods may include obtaining one or more raw infrared data frames related to a target object. Each of the one or more raw infrared data frames may include raw infrared data including raw temperature information and raw grayscale information of the target object. The methods may further include generating one or more target infrared data frames corresponding to the one or more raw infrared data frames based on the raw infrared data. Each of the one or more target infrared data frames may include a frame header, an information header, and a data area. And for at least one of the one or more target infrared data frames, the data area may include substantially complete raw temperature information and substantially complete raw grayscale information.

An image based correction system compensates for the image quality artifacts induced by thermal ghosting on evolving imaging member surfaces. With thermal ghosting directly tied to previous image content, a feed forward system determines thermal ghosting artifacts based on images previously rendered and generates an open loop gray-level correction to a current image that mitigates undesirable ghosting. For example, the correction system compensates for the thermal ghosting by making the current image “lighter” in areas that will be imaged onto warmer blanket regions, thereby cancelling out TRC differences between different temperature regions. A temperature sensor is used to measure the temperature of the imaging blanket due to the stresses induced by the image. This data is used to learn the parameters of the temperature model periodically during operation, and used in subsequent corrections to mitigate thermal ghosting in spite of changes in blanket properties over use and time.

An image based correction system compensates for the image quality artifacts induced by thermal ghosting on evolving imaging member surfaces. With thermal ghosting directly tied to previous image content, a feed forward system determines thermal ghosting artifacts based on images previously rendered and generates an open loop gray-level correction to a current image that mitigates undesirable ghosting. For example, the correction system compensates for the thermal ghosting by making the current image “lighter” in areas that will be imaged onto warmer blanket regions, thereby cancelling out TRC differences between different temperature regions. A temperature sensor is used to measure the temperature of the imaging blanket due to the stresses induced by the image. This data is used to learn the parameters of the temperature model periodically during operation, and used in subsequent corrections to mitigate thermal ghosting in spite of changes in blanket properties over use and time.

A method and device for detecting a body temperature, electronic apparatus and storage medium are provided, which relate to the field of infrared temperature measurement. The method includes: performing face recognition on an optical static image, to determine at least one face image in the optical static image and coordinates of the face image; performing coordinate transformation on a thermal imaging static image and/or the optical static image, to determine thermal imaging information of the face image, wherein the optical static image and the thermal imaging static image include a same image acquisition target with a same face; and determining a body temperature corresponding to the face image, according to the thermal imaging information of the face image. in the embodiment of the present application, efficiency of body temperature detection in public places can be improved and cross infection can be prevented.

A multisensory system provides both temporal and spatial coverage capacities for auto-detection of bird collision events. The system includes an apparatus having a first circuitry to capture and store a series of images or video of a blade of a wind turbine; and a memory to store the images from the first circuitry. The apparatus also has one or more sensors to continuously sense vibration of the blade or for acoustic recordings; and a second circuitry to analyze the sensor data stream and/or the series of images or video to identify a cause of the vibration and to trigger the camera(s). A communication interface transmits data from the second circuitry to another device, wherein the second circuitry applies artificial intelligence or machine learning to control sensitivity of the one or more sensors.

A multisensory system provides both temporal and spatial coverage capacities for auto-detection of bird collision events. The system includes an apparatus having a first circuitry to capture and store a series of images or video of a blade of a wind turbine; and a memory to store the images from the first circuitry. The apparatus also has one or more sensors to continuously sense vibration of the blade or for acoustic recordings; and a second circuitry to analyze the sensor data stream and/or the series of images or video to identify a cause of the vibration and to trigger the camera(s). A communication interface transmits data from the second circuitry to another device, wherein the second circuitry applies artificial intelligence or machine learning to control sensitivity of the one or more sensors.

A precision agriculture support system is provided with a measuring device, a storage device and a plant species determining unit. The measuring device measures a first spectral characteristic of light derived from vegetation in a support target area. The storage device stores a database of spectrum according to species that shows a spectral characteristic of a desired crop. The plant species determining unit determines whether a plant included in the vegetation is the desired crop or not based on the database of spectrum according to species and a measurement result of the first spectral characteristic. The plant species determination unit further carries out distinction of agricultural crops, distinction of agricultural crops and weeds and the like. Furthermore, the precision agriculture support system identifies an area where abnormality is occurring, estimates a nature of the abnormality and carries out an early warning by providing a countermeasure against the abnormality.