A system for typing biological cells includes a tunable Fabry-Perot etalon, and imaging sensor, and a processor. The imaging sensor acquires one or more images of one or more biological cells from light transmitted through the tunable Fabry-Perot etalon. Each image represents signal associated with one or more wavelengths transmitted through the tunable Fabry-Perot etalon. The processor is configured to determine a type of each of the one or more biological cells. Determining the type uses a machine learning algorithm and is based at least in part on one or more of an image segmentation, a patch extraction, a feature extraction, a feature compression, a deep feature extraction, a feature fusion, a feature classification, and a prediction map reconstruction.

A method and a system for detecting and positioning an intruder within a specified volume are provided herein. The method may include the following steps: periodically scanning using a laser detection and ranging (LADAR) device directing a laser beam, within the specified volume; collecting reflections of the laser beam arriving from objects within the volume; converting the reflections to LADAR signal indicative of spatiotemporal presence of objects within the volume; applying signal processing algorithms to the LADAR signals, to determine a presence of an intruder and respective orientation parameters, based on predefined criteria; directing a camera based on the orientation parameters associated with the intruder for continuously capturing images of the intruder; and analyzing the images by a computer processor and instructing the camera to track the intruder based on the analysis, to yield real-time tracking parameters of the intruder.

A method and a system for detecting and positioning an intruder within a specified volume are provided herein. The method may include the following steps: periodically scanning using a laser detection and ranging (LADAR) device directing a laser beam, within the specified volume; collecting reflections of the laser beam arriving from objects within the volume; converting the reflections to LADAR signal indicative of spatiotemporal presence of objects within the volume; applying signal processing algorithms to the LADAR signals, to determine a presence of an intruder and respective orientation parameters, based on predefined criteria; directing a camera based on the orientation parameters associated with the intruder for continuously capturing images of the intruder; and analyzing the images by a computer processor and instructing the camera to track the intruder based on the analysis, to yield real-time tracking parameters of the intruder.

An image processing apparatus and method of extracting a second RGB feature point and a second ToF feature point such that a correlation between the first RGB feature point and the first ToF feature point is equal to or greater than a predetermined value; calculating an error value between the second RGB feature point and the second ToF feature point; updating pre-stored calibration data when the error value is greater than a threshold value, and calibrating the RGB image and the ToF image by using the updated calibration data; and synthesizing the calibrated RGB and ToF images.

A method for estimating a pose of a deformable object includes: receiving, by a processor, a plurality of images depicting the deformable object from multiple viewpoints; computing, by the processor, one or more object-level correspondences and a class of the deformable object depicted in the images; loading, by the processor, a 3-D model corresponding to the class of the deformable object; aligning, by the processor, the 3-D model to the deformable object depicted in the plurality of images to compute a six-degree of freedom (6-DoF) pose of the object; and outputting, by the processor, the 3-D model and the 6-DoF pose of the object.

Provided is a display module, including: a shell; a display panel, wherein the display panel is disposed in the shell and is connected to the shell; a first light emitting component, wherein the first light emitting component is connected to the display panel and is configured to emit light of a target wavelength; and a fingerprint recognition sensor, wherein the fingerprint recognition sensor is disposed between the shell and the display panel and is fixedly connected to the shell; an orthographic projection of the fingerprint recognition sensor onto the display panel and an orthographic projection of the first light emitting component onto the display panel do not overlap; and the fingerprint recognition sensor is configured to recognize a fingerprint based on received light of the target wavelength reflected by an obstacle.

Provided is a display module, including: a shell; a display panel, wherein the display panel is disposed in the shell and is connected to the shell; a first light emitting component, wherein the first light emitting component is connected to the display panel and is configured to emit light of a target wavelength; and a fingerprint recognition sensor, wherein the fingerprint recognition sensor is disposed between the shell and the display panel and is fixedly connected to the shell; an orthographic projection of the fingerprint recognition sensor onto the display panel and an orthographic projection of the first light emitting component onto the display panel do not overlap; and the fingerprint recognition sensor is configured to recognize a fingerprint based on received light of the target wavelength reflected by an obstacle.

A fingerprint sensing module comprising a fingerprint sensor device having a sensing array arranged on a first side of the device, the sensing array comprising an array of fingerprint sensing elements. The fingerprint sensor device comprises connection pads for connecting to external circuitry. The fingerprint sensing module further comprises a fingerprint sensor device cover structure, arranged to cover the fingerprint sensor device, having a first side configured to be touched by a finger, thereby forming a sensing surface of the sensing module, and a second side facing the sensing array, wherein the cover structure comprises conductive traces for electrically connecting the fingerprint sensor module to external circuitry, and wherein a surface area of the cover structure is larger than a surface area of the sensor device. The fingerprint sensor device comprises wire-bonds electrically connecting the connection pads of the fingerprint sensing device to the conductive traces of the cover structure.

A fingerprint sensing module comprising a fingerprint sensor device having a sensing array arranged on a first side of the device, the sensing array comprising an array of fingerprint sensing elements. The fingerprint sensor device comprises connection pads for connecting to external circuitry. The fingerprint sensing module further comprises a fingerprint sensor device cover structure, arranged to cover the fingerprint sensor device, having a first side configured to be touched by a finger, thereby forming a sensing surface of the sensing module, and a second side facing the sensing array, wherein the cover structure comprises conductive traces for electrically connecting the fingerprint sensor module to external circuitry, and wherein a surface area of the cover structure is larger than a surface area of the sensor device. The fingerprint sensor device comprises wire-bonds electrically connecting the connection pads of the fingerprint sensing device to the conductive traces of the cover structure.

A non-contact body temperature detection system of a vehicle includes: a thermography camera configured to generate an image of a user within a passenger cabin of the vehicle; a head detection module configured to determine a first area of the image including a head of the user; an eye detection module configured to determine a second area of the first area of the image including an eye of the user; a tear duct detection module configured to determine a third area of the second area of the image including a tear duct of the user; a temperature module configured to determine a body temperature of the user based on pixels of the third area of the image; and an indicator module configured to indicate whether the user has an elevated body temperature when the body temperature of the user is greater than a temperature threshold.