A terahertz security inspection robot is provided, including: a housing including a main housing and a head housing rotatably connected to the main housing; a terahertz wave imaging mechanism including a mirror assembly arranged in the head housing and a detector array arranged in the main housing; and a rotating mechanism configured to cause the head housing and the mirror assembly located in the head housing to rotate with respect to the main housing, so that the mirror assembly of the terahertz wave imaging mechanism is oriented in different directions to respectively perform terahertz scanning and imaging on objects to be inspected in different inspection regions in a security inspection scene.

A terahertz security inspection robot is provided, including: a housing including a main housing and a head housing rotatably connected to the main housing; a terahertz wave imaging mechanism including a mirror assembly arranged in the head housing and a detector array arranged in the main housing; and a rotating mechanism configured to cause the head housing and the mirror assembly located in the head housing to rotate with respect to the main housing, so that the mirror assembly of the terahertz wave imaging mechanism is oriented in different directions to respectively perform terahertz scanning and imaging on objects to be inspected in different inspection regions in a security inspection scene.

A system for inspecting an aircraft includes a drone, a base station, and a controller. The drone includes one or more cameras. The base station has a storage compartment configured to store the autonomous drone therein. The controller has a processor and a memory. The memory has instructions stored thereon, which when executed by the processor, cause the base station to drive to a first predetermined location relative to the aircraft, and cause the drone to fly from the storage compartment of the base station to a first predetermined position relative to the aircraft so that the drone can record image data of at least portions of the aircraft with the one or more cameras.

A method and system are proposed for the automatic counting of the number of insects in a trap. The method comprises acquiring, by means of an acquisition system, a plurality of spectral images of a trap or of a portion of the trap, wherein the spectral images are acquired for at least two different quasi-monochromatic spectral ranges after having sequentially illuminated the trap, or portion of the trap, with light at said two quasi-monochromatic spectral ranges. The trap, or portion of the trap, contains a series of objects adhered thereto, including insects, and optionally other particles. In addition, the method comprises counting, by means of a processor, the number of insects of a first type of said insects through the detection and differentiation of the insects of said first type taking the spectral and morphological parameters thereof into account.

A method and system are proposed for the automatic counting of the number of insects in a trap. The method comprises acquiring, by means of an acquisition system, a plurality of spectral images of a trap or of a portion of the trap, wherein the spectral images are acquired for at least two different quasi-monochromatic spectral ranges after having sequentially illuminated the trap, or portion of the trap, with light at said two quasi-monochromatic spectral ranges. The trap, or portion of the trap, contains a series of objects adhered thereto, including insects, and optionally other particles. In addition, the method comprises counting, by means of a processor, the number of insects of a first type of said insects through the detection and differentiation of the insects of said first type taking the spectral and morphological parameters thereof into account.

The present disclosure provides a temperature correcting method, apparatus and system, which relates to the technical field of computers. The method includes: acquiring a target reference image-frame pair containing a person, wherein the target reference image-frame pair includes a target visible-light image frame and a target thermal-imaging image frame; converting the target visible-light image frame into a depth image frame; inputting the depth image frame and the target thermal-imaging image frame into an atmosphere-inverse-scattering model, wherein the atmosphere-inverse-scattering model refers to a neural network model obtained by fitting a relation between depths and temperature correcting values in advance; and by using the atmosphere-inverse-scattering model, based on the depth image frame, performing temperature correction to the target thermal-imaging image frame, to obtain a target temperature. The present disclosure may effectively increase the accuracy of person temperature measurement.

A biometric capture device is operative to adjust one or more environmental parameters to enhance a range (e.g., distance) at which a biometric may be captured from a subject. For example, a sample biometric capture device may be, include, or otherwise incorporate a retinal or iris scanner configured to capture an image of the retina or iris (e.g., a biometric) when the retina or iris is illuminated by infrared light. Generally, the amount of infrared light required to accurately image the retina or iris increases with the distance of the subject’s retina or iris from the image capture device. The biometric capture device may capture a facial image using a first image sensor, identify a face in the facial image, capture an iris image using a second image sensor guided by the facial image, and identify a person using the iris image.

A biometric capture device is operative to adjust one or more environmental parameters to enhance a range (e.g., distance) at which a biometric may be captured from a subject. For example, a sample biometric capture device may be, include, or otherwise incorporate a retinal or iris scanner configured to capture an image of the retina or iris (e.g., a biometric) when the retina or iris is illuminated by infrared light. Generally, the amount of infrared light required to accurately image the retina or iris increases with the distance of the subject’s retina or iris from the image capture device. The biometric capture device may capture a facial image using a first image sensor, identify a face in the facial image, capture an iris image using a second image sensor guided by the facial image, and identify a person using the iris image.

A driver assistance device includes an image analysis part that analyzes a captured image obtained by capturing a face of a driver of a vehicle, and an abnormality determination processing part that determines whether a state of the driver is in an abnormal state on the basis of an analysis result of the captured image, and performs an emergency driving stop process of causing the vehicle to perform automatic braking if the driver's state is determined to be in the abnormal state. The abnormality determination processing part does not perform the emergency driving stop process when the level of recognition of the face of the image analysis part is lower than the predetermined level.

Methods (10, 10′, 10″) for imaging a scene (110) during a change of a field of view (112) of an image sensor (114) relative to the scene (110) and a corresponding system (100) are disclosed.