A system and method for image stream synchronization for an FIR camera. The method includes applying an initial correction to a received image stream; splitting the corrected image stream into a first image stream and at least a second image stream; enhancing the first image stream by at least one image enhancing process; buffering the second image stream until a synchronization signal is received; and synchronizing the first image stream and second image stream, such that the output of the enhanced first image stream and the buffered second image stream match.

To obtain a high-resolution image on a detection of a contour of an object, an image detection system for detecting an object is provided which comprises a defined detection zone in which the object moved through the detection zone is detectable; at least two lighting units for lighting the detection zone with a respective light beam; and at least two light reception units for receiving light reflected at the object, wherein one respective lighting unit is associated with a light reception unit, and wherein the lighting units each transmit their light beams at a defined light wavelength and the light reception units are configured to receive a respective light wavelength of the reflected light associated with them, wherein the one light reception unit receives a different light wavelength than the other light reception unit.

Disclosed are devices and methods for analyzing an analyte, such as white blood cells in liquid samples.

An image measurement device including: light sources that irradiate light beams having different peak wavelengths; a staining method obtaining unit which obtains information indicating a staining method of an inspection specimen; an image obtaining unit which: selects a combination of light sources according to the staining method, based on illumination information; and capture inspection images of the inspection specimen with light beams from the selected light sources, and capture reference images of a reference specimen with light beams from the respective light sources; a calculating unit which calculates a positivity based on the inspection images; and an evaluation unit which associates the staining method of the reference specimen with the combination of light sources to generate the illumination information based on a total value of coefficients in a linear sum of the ortho-normalization base vectors of a spectral distribution of light sources calculated based on the reference images.

The present invention relates to a system and a method of monitoring a queue that allow for exactly recognizing objects in a queue and exactly monitoring the situation of the queue by tracking the recognized objects, using depth detection device such as a TOF camera. According to the present invention, it is possible to map a space and an image using depth information provided through a depth detection device without mapping a 3D space to an image taken by a camera and exactly measure the actual heights of objects from the ground using depth information of the objects and the background and initial parameters of the depth detection device so that desired objects can be exactly detected and recognized in filtering. Accordingly, the system can be less complicated. Further, waiting time is assigned to recognized objects so that they can be easily tracked.

A pearl grading method includes the following steps: (1) determining the color type of the pearl to be graded; (2) generating a simulated three-dimensional graph of the pearl to be graded; (3) calculating roundness, so as to obtain a roundness grade; (4) calculating the diameter of the simulated three-dimensional graph, so as to obtain a diameter grade; (5) drawing an illumination-wavelength reflection spectrum; (6) changing a detected part, and drawing an illumination-wavelength reflection spectrum again; (7) repeating the step (6) for at least two times; (8) performing weighted average to obtain a correction curve; and (9) comparing the correction curve with each glossiness grade spectrum baseline, so as to determine a glossiness grade according to the spectrum baseline with the highest coincidence degree. The method has the beneficial effects of low cost, high speed, good result consistency and high detection precision.

A vehicle lighting system includes: a lighting device that emits a first light and a second light to a periphery of an own vehicle, the second light having a higher directivity than the first light; a camera to acquire image information; a detector to emit an electromagnetic wave and acquire a reflection wave; and an electronic control unit configured to detect a physical body using the image information, detect the physical body using information of the reflection wave, control the lighting device such that the first light is emitted to the physical body detected by the reflection wave, determine whether the physical body detected using the image information in a state where the first light is being emitted is an target object, and control the lighting device such that the lighting device emits the second light toward a predetermined range around the target object.

Methods for determining whether a mark is genuine are described. According to various implementations, a computing device (or logic circuitry thereof) receives (e.g., via a camera or via a communication network) an image of a candidate mark (e.g., a one-dimensional or two-dimensional barcode), uses the image to make measurements of a characteristic of a feature of the candidate mark, resulting in a profile for that feature. The computing device filters out, from the feature profile, all spatial frequency components that are indicated to be sibling frequency components. In some embodiments, the computing device carries out the reverse procedure, and filters out all spatial frequency components except for those indicated to be sibling frequency components.

A head mounted display (HMD) comprises an eye tracking system configured to perform a calibration process using an eye tracking system of the HMD that includes determining a pupillary axis and/or determining an angular offset between the pupillary axis and the eye's true line of sight. The eye tracking system obtains an eye model captures images of the user's pupil while the user is looking at a target or other content displayed on the HMD. In some embodiments, the calibration process is based on a single image of the user's eye and is performed only once. For example, the process can be performed the first time the user uses the HMD, which stores the calibration data for the user in a memory for future use.

The present invention discloses an infrared image-spectrum associated intelligent detection method and apparatus, including: first searching for targets in a field of view (FOV), and performing image-spectrum associated intelligent identification sequentially on the searched targets, that is, first performing infrared image target identification on each target, and if a detection identification rate is greater than a set threshold, outputting an identification result and storing target image data; otherwise, acquiring an infrared spectrum of the target, and performing target identification based on infrared spectrum features. The present invention further discloses an apparatus for performing target detection using the above method, and the apparatus mainly includes a two-dimensional scanning mirror, a multiband infrared optical module, a long-wave infrared (LWIR) imaging unit, a broadband infrared spectrum measuring unit, and a processing and control unit. The method and apparatus of the present invention are improvements and enhancements of the conventional infrared target detection method and device, and may be used for infrared image detection, infrared image-spectrum associated detection of the target and infrared spectrum collection of the target. Compared with the conventional infrared detection device, the present invention has a higher performance cost ratio, and can significantly improve the detection identification rate of the target.