A method for estimating human body temperature includes receiving, via a thermal camera, a thermal image captured of a real-world environment, the thermal image including thermal intensity values for each of a plurality of pixels of the thermal image. A position of a first human face is identified within the thermal image, the first human face corresponding to a first human subject. A skin tone of the first human face is identified. Based on the identified skin tone, a skin tone correction factor is applied to one or more thermal intensity values of one or more pixels corresponding to the first human face to give one or more tone-corrected thermal intensity values. Based on the one or more tone-corrected thermal intensity values an indication of a body temperature of the first human subject is reported.

A method for endoscopic imaging including: capturing white light images with a video endoscope under white light illumination; evaluating the captured white light images for a structure having a predefined characteristic, when the presence of the structure having the predefined characteristic is found in a white light image, setting a special light imaging mode in which a light source generates special light illumination using the at least one special light and one or more images of a video stream are captured under the special light illumination and subjected to image processing in the set special light processing mode; identifying a subregion of the at least one white light image that contains the structure with the predefined characteristic and reading out only the subregion of a CMOS image sensor associated with the video endoscope, and processing the image data read out from the subregion as one or more special light images.

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 and method detects falling incidents on structures such as cruise vessels, oil rigs, overpasses, and buildings, and also detects overboarding movements onto structures such as cargo ships. The system includes at least two opposed imaging devices which record video streams of a detection cuboid within an overlapping region of view volumes for the imaging devices. The imaging devices monitor objects that pass through the cuboid. Identified objects within the video streams are paired, their conformance is determined, and real-world information such as size, trajectory, and location is determined.

A hybrid cornea and pupil eye-tracking technique includes receiving iris-backscattered light from an eye and determining a pupil-position of the eye based on the iris-backscattered light. Cornea-reflected light is received from the eye and an eye-tracking position of the eye is determined based on the cornea-reflected light and the pupil-position.

A vision system for determining an identity of an individual animal in a population of animals with known identity is provided. A first image sensor arrangement is configured to capture three-dimensional or thermographic images of the individual animal. A second image sensor arrangement is configured to capture two-dimensional images of the individual animal. Control circuitry is configured to obtain a first image of the individual animal captured by the first image sensor arrangement and to detect a body part in the first image, and in response to detecting the body part, obtain a second image of the individual animal captured using the second image sensor arrangement, and to identify the individual animal by comparing metrics of the second image with the reference data in a data storage.

The invention relates to a method for distinguishing, detecting and counting persons and/or objects in vehicles for conveying persons and/or goods, with the method steps: emitting radiation from a radiation source, deflecting the radiation with an element for deflecting the radiation, generating a light pattern in a detection region with a beam density ρ.sub.s of 5*10.sup.2/4*πsr.sup.−1≤ρ.sub.s≤10.sup.6/4*πsr.sup.−1, and detecting the radiation backscattered by persons and/or objects situated in the detection region in a radiation detector, as well as a corresponding person and/or object counting device.

A microscope for computational imaging may include an illumination source configured to illuminate a sample with a plurality of wavelengths, an image sensor, an objective lens to image the sample onto the image sensor, and a processor operatively coupled to the illumination assembly and the image sensor. The processor may be configured to acquire a first image dataset from the sample illuminated using a first set of illumination conditions at a first wavelength. The processor may also be configured to acquire a second image dataset from the sample illuminated using a second set of illumination conditions having a second number of illumination conditions at a second wavelength. The second set of illumination conditions comprises fewer illumination conditions than the first set in order to decrease acquisition time. The processor may be configured to combine the first and second image datasets into a computationally reconstructed image of the sample.

A method for iris-based living body detection and related product are provided. The method includes the following. An iris image is divided into K regional images, where K is an integer greater than one. Living body detection is performed on the K regional images with P iris-based living body detection schemes to obtain K detection results, where P is an integer greater than one and less than or equal to K. Whether the iris image is obtained from an iris of a living body is determined according to the K detection results.

One variation of a method for tracking fresh produce in a store includes: accessing a first hyper-spectral image, of a produce display in a store, recorded at a first time; extracting a first spectral profile from a first region of the first hyper-spectral image depicting a first set of produce units in the produce display; identifying a first varietal of the first set of produce units; characterizing qualities (e.g., ripeness, bruising, spoilage) of the first set of produce units in the produce display based on the first spectral profile; and, in response to qualities of the first set of produce units in the produce display deviating from a target quality range assigned to the first varietal, generating a prompt to audit the first set of produce units in the produce display.