373 results about "Point detector" patented technology

A speech recognition system includes the following: a feature calculating unit; a sound level calculating unit that calculates an input sound level in each frame; a decoding unit that matches the feature of each frame with an acoustic model and a linguistic model, and outputs a recognized word sequence; a start-point detector that determines a start frame of a speech section based on a reference value; an end-point detector that determines an end frame of the speech section based on a reference value; and a reference value updating unit that updates the reference value in accordance with variations in the input sound level. The start-point detector updates the start frame every time the reference value is updated. The decoding unit starts matching before being notified of the end frame and corrects the matching results every time it is notified of the start frame. The speech recognition system can suppress a delay in response time while performing speech recognition based on a proper speech section.

An apparatus for detecting the end-point of an electropolishing process of a metal layer formed on a wafer includes an end-point detector. The end-point detector is disposed adjacent the nozzle used to electropolish the wafer. In one embodiment, the end-point detector is configured to measure the optical reflectivity of the portion of the wafer being electropolished.

Methods and apparatus for operating on images are described, in particular methods and apparatus for interest point detection and/or description working under different scales and with different rotations, e.g. for scale-invariant and rotation-invariant interest point detection and/or description. The present invention can provide improved or alternative apparatus and methods for matching interest points either in the same image or in a different image. The present invention can provide alternative or improved software for implementing any of the methods of the invention. The present invention can provide alternative or improved data structures created by multiple filtering operations to generate a plurality of filtered images as well as data structures for storing the filtered images themselves, e.g. as stored in memory or transmitted through a network. The present invention can provide alternative or improved data structures including descriptors of interest points in images, e.g. as stored in memory or transmitted through a network as well as datastructures associating such descriptors with an original copy of the image or an image derived therefrom, e.g. a thumbnail image.

An autonomous vehicle includes a travel vehicle main body, a model data storage, a photographic device, a search region determiner, an image feature point detector, a feature amount calculator and a position detector. The travel vehicle main body autonomously travels to a target position. The model data storage stores model data related to a geometric feature of an object. The photographic device photographs a periphery of the travel vehicle main body at the target position to acquire image data. The search region determiner predicts a position of the object based on the image data, and determines a search region of a predetermined range including the predicted position of the object. The image feature point detector detects a feature point of the image data with respect to the search region. The feature amount calculator calculates a feature amount of a matching candidate point extracted from the feature point. The position detector matches the feature amount of the matching candidate point with the model data to recognize the position of the object based on the image data.

The invention relates to a compressing three-dimension calculation ghost imaging system. The system comprises a light source, a spatial light modulator, at least four sets of convergence light receiving lenses, at least four sets of point detectors corresponding to the convergence light receiving lenses and an algorithm module. Light emitted by the light source is projected on the spatial light modulator, the spatial light modulator modulates the light randomly, the modulated light is projected on an object, the object reflects the light in different directions, and one set of convergence light receiving lens and point detector are arranged in each of at least four reflecting directions. Total light intensity in all the directions are compressed and sampled by the point detectors, a compressing and sampling result is input into the algorithm module, the processes of the compression and sampling of the total light intensity and the input of the result are repeated for many times, the spatial light modulator modulates different patterns every time, the algorithm module inverts a two-dimension image corresponding to the direction of each point detector by the application of the compressed sensing algorithm according to a measurement matrix and the measurement results obtained by the repeated compression and sampling, the information of shadow parts of the images is compared to construct a three-dimension surface gradient, and finally a three-dimension object shape is reconstructed.

Provided are a method and apparatus for discriminating a speech signal. The apparatus for discriminating a speech signal includes: an input signal quality improver for reducing additional noise from an acoustic signal received from outside; a first start/end-point detector for receiving the acoustic signal from the input signal quality improver and detecting an end-point of a speech signal included in the acoustic signal; a voiced-speech feature extractor for extracting voiced-speech features of the input signal included in the acoustic signal received from the first start/end-point detector; a voiced-speech/unvoiced-speech discrimination model for storing a voiced-speech model parameter corresponding to a discrimination reference of the voiced-speech feature parameter extracted from the voiced-speech feature extractor; and a voiced-speech/unvoiced-speech discriminator for discriminating a voiced-speech portion using the voiced-speech features extracted by the voiced-speech feature extractor and the voiced-speech discrimination model parameter of the voiced/unvoiced-speech discrimination model.

A design verifier includes a bounded model checker, a proof partitioner and a fixed-point detector. The bounded model checker verifies a property to a depth K and either finds a counterexample, or generates a proof in the form of a directed acyclic graph. If a counterexample is found, the bounded model checker selectively increases K and verifies the property to the new larger depth using the original constraints. If no counterexample is found, the proof partitioner provides an over-approximation of the states reachable in one or more steps using a proof generated by the bounded model checker. The fixed-point detector detects whether the over-approximation is at a fixed point. If the over-approximation is at a fixed-point, the design is verified. If the over-approximation is not at a fixed point, the bounded model checker can iteratively use over-approximations as a constraint and verify the property to a depth K.

The invention discloses an on-line sequential extreme learning machine-based incremental human behavior recognition method. According to the method, a human body can be captured by a video camera on the basis of an activity range of everyone. The method comprises the following steps of: (1) extracting a spatio-temporal interest point in a video by adopting a third-dimensional (3D) Harris corner point detector; (2) calculating a descriptor of the detected spatio-temporal interest point by utilizing a 3D SIFT descriptor; (3) generating a video dictionary by adopting a K-means clustering algorithm, and establishing a bag-of-words model of a video image; (4) training an on-line sequential extreme learning machine classifier by using the obtained bag-of-words model of the video image; and (5) performing human behavior recognition by utilizing the on-line sequential extreme learning machine classifier, and performing on-line learning. According to the method, an accurate human behavior recognition result can be obtained within a short training time under the condition of a few training samples, and the method is insensitive to environmental scenario changes, environmental lighting changes, detection object changes and human form changes to a certain extent.

A TRIAC/SCR-based energy savings device, system and method (1) wherein a predetermined amount of voltage below a nominal line voltage and/or below a nominal appliance voltage is saved, thereby conserving energy. Phase input connections (2) are provided for inputting analog signals into the device and system (1). A magnetic flux concentrator (3) senses the incoming analog signal (20) and a volts zero crossing point detector (5) determines the zero volts crossing point (21) of the signal (20). The positive half cycle (22) and negative half cycle (23) of the signal (20) are identified and routed to a digital signal processor (10) for processing the signal (20). The signal (20) is reduced by pulse width modulation and the reduced amount of energy is outputted, thereby yielding an energy savings for an end user.

The invention relates to an imaging spectral system based on compressed sensing and Hadamard transformation. The imaging spectral system comprises a telescope unit, an imaging lens, a first expanded beam collimating lens, a first digital micro-reflector, a camera, a concave surface collimation reflector, a light splitting optical grating, a first convergent lens, a second digital micro-reflector, a second convergent lens, a light combining optical grating, a third convergent lens, a point detector, a Hadamard inverse transformation module and a compression calculation association module.

An optical apparatus which achieves fast focusing operation and allows accurate focusing is disclosed. The optical apparatus includes a first focus detector which detects a focus state on a subject, a second focus detector which detects a focus state on the subject in a detection method different from a detection method of the first focus detector, and a controller which has a function of detecting whether or not the subject is a moving body and a function of performing focus control of an image-taking optical system in a first sequence in which at least one of the first and second focus detectors is used and a second sequence in which at least the other of the focus detectors is used. The controller preferentially uses one of the first and second sequences depending on the result of the detection with the moving body detecting function.

A focus detection device comprises: focus detection elements including light-receiving elements that generate a pair of signals corresponding to a pair of light fluxes each passing through an imaging optical system that includes a lens and an aperture stop; and a focus detector including a processor that determines a focus adjustment state of the imaging optical system with an f-number slower than a full-aperture of the imaging optical system when a specific condition is fulfilled.

Systems, devices, and methods for training a neural network and performing image interest point detection and description using the neural network. The neural network may include an interest point detector subnetwork and a descriptor subnetwork. An optical device may include at least one camera for capturing a first image and a second image. A first set of interest points and a first descriptor may be calculated using the neural network based on the first image, and a second set of interest points and a second descriptor may be calculated using the neural network based on the second image. A homography between the first image and the second image may be determined based on the first and second sets of interest points and the first and second descriptors. The optical device may adjust virtual image light being projected onto an eyepiece based on the homography.

A semiconductor device and a method of manufacturing the same capable of reducing variations in the thickness of a semiconductor device are provided. The amount of oxygen implanted ions is less than the amount of implanted oxygen ions in the conventional epitaxial SIMOX wafers. Oxygen is ion-implanted into the surface layer of a silicon wafer from the surface of the wafer. Then, by heat treating the wafer, a thinning stop layer, which is an imperfect buried oxide film, is formed along the entire plane of the wafer. As a result, variation of the thickness of the semiconductor device formed in an active layer can be reduced, since the, the reliability of the accuracy of the end point of silicon wafer thinning is higher than that of a thinning using the conventional deep trench structure as an end point detector.

The invention relates to an infrared spectrum enhancement and detection method and an infrared spectrum enhancement and detection device based on a graphene nano antenna. The device comprises a light source, a collimating lens, a one-point detector and an MEMS (micro-electromechanical system) grating light modulator based on the three-dimensional graphene nano antenna. Infrared light emitted from the light source is irradiated to the MEMS grating light modulator based on the three-dimensional graphene nano antenna through the collimating lens, an interference signal of the MEMS grating light modulator can be detected by the one-point detector, a detection signal is demodulated through Fourier transform, a spectrum is reproduced, and trace molecules are detected according to obtained spectrum information; the device has the advantages of good stability, high response speed, high sensitivity, dynamic tunable broadband, high enhancement factor and the like, can be expected to greatly increase the variety of substances detected by an infrared spectroscopic analysis technology and improve the detection sensitivity of the infrared spectroscopic analysis technology, and has a huge development space and a wide application prospect.

The invention relates to a free space optical-communication APT system based on a compressive sensing receiver. The free space optical-communication APT system based on the compressive sensing receiver comprises an APT system body and the compressive sensing receiver, wherein the APT system body comprises an optical portion and a servo control portion. The optical portion of the APT system body comprises primary mirrors, secondary mirrors, a precise-tracking executing mechanism, a beam splitter, a pulse amplitude modulation, a first convergence light receiving unit, a light spot detecting device, an emitter and a beam expanding collimating lens. The servo control portion of the APT system body comprises a rough-tracking controller, a rough-tracking executing mechanism, a universal angle plate and a precise-tracking loop controller. The compressive sensing receiver comprises an emitter, an imaging lens, a space light modulator module, a convergence light receiving module, point detectors, an adder and an algorithm module.

The invention relates to a time flight imaging spectrum system based on compressed sensing and coding transformation. The time flight imaging spectrum system comprises a pulse laser unit, a telescope unit, an imaging lens, a first beam expanding collimating lens, a first digital micro-mirror, a camera, a concave surface collimating mirror, a spectro-grating, a first convergent lens, a second digital micro-mirror, a second convergent lens, a light combining grating, a third convergent lens, a point detector, a Hadamard inverse transformation module, a compression calculation relevance module and a flight time relevance module. The pulse laser unit comprises an active pulse light source, a second beam expanding collimating lens and a second mirror. The telescope unit comprises a concave surface mirror, a convex surface mirror and a first mirror. The flight time relevance module comprises a synchronous control unit and a timescale converter.

A point detection system is provided for use in a typical switch machine with a typical indication system, wherein a point detector bar is slidably captivated within a point detector sleeve, and wherein a target that is integrally engaged with the point detector bar is sensed by at least one sensing device, thereby to detect movement of the point detector bar. The point detector sleeve is supported by a track side bearing affixed to a track side wall of the switch machine, and by a field side bearing affixed to an opposing wall of the switch machine. The point detector bar extends outside the switch machine from only the track side bearing, thereby eliminating the bearings and the pinch point between the hand throw lever and the two piece point detector bar that otherwise extended from the related art switch machine. The sensing device may be mounted upon a slide mechanism to adjust the sensing device relative to the target. Use of the sensing device eliminates the need for cams to monitor in order to detect movement of the point detector bar, as well as eliminates moving parts between the cams and the mechanical linkages. Further, at least one other sensing device detects a normal and reverse locked position of a lock bar assembly and lock box of the switch machine.

A railway switch circuit controller has a housing enclosing a laterally movable platform with a first and second target affixed thereupon. A first and second proximity sensor within the housing is positioned to detect the first and second target, respectively, such that the proximity sensor upon detection of the respective target may provide a signal. The platform is connected to a point detector connecting rod of a railway switch, thereby to be movable relative to the movement of the point detector connecting rod. In a first preferred embodiment, the platform may be cooperatively engaged with a rotational drive shaft that is connected to the point detector connecting rod, thereby to move laterally when the drive shaft is rotated by lateral movement of the rod. In the first preferred embodiment, the first and second proximity sensor may be fixed within the housing and the first and second target may be adjustable laterally within the platform towards and away from the other target, respectively.

The invention discloses a secondary confocal measuring method and device based on phase-shifting interference, in the device, the laser emits polarizing light beam, the light beam is converted into approximate ideal plane wave after passing through a collimation beam expending lens; the light beam is converted into round polarizing light beam after passing through a polarizing spectroscope and a one-quarter glass; then the light beam is divided into two light beams, wherein the first light beam is focused on a point detector composed by a second pinhole and a detector after being transmitted by a spectroscope, reflected by a reflection lens, reflected by a spectroscope, and focused by a collecting objective lens; the second light is focused on the measuring surface via a detecting focusing objective lens and a spectroscope after being reflected by the spectroscope, and then focused on a point detector via a detecting focusing objective lens and a collecting objective lens after being reflected by the measuring surface; a first micro driver is used for driving the reflecting lens to change phase difference between the reference light and the measuring light in order to realize phase-shifting interference; the initial position of detecting point is the first confocal state. The invention also discloses a secondary confocal measuring method based on phase-shifting interference.

Systems, methods, and devices of the various embodiments enable the detection and localization of power line corona discharges and/or electrical arcs by an unmanned aerial vehicle (UAV) including an array of ultraviolet (UV) point detectors.

An apparatus and method for detecting a voice signal end point are provided, in which at least two microphones receive signals including voice and noise signals, and a voice end point detector distinguishes voice frames from noise frames in the received signals based on phase differences in respective frequencies between the received signals, and detecting the end point of the voice signal according to a time order of the voice frames and the noise frames.

The invention relates to a stereo surveying and mapping imaging system based on a separation load satellite formation. The imaging system comprises the separation load satellite formation, a satellite antenna and a ground observation station, wherein the separation load satellite formation comprises at least two satellites; each satellite comprises a satellite borne point detector; one satellite comprises an area array detector; the satellite antenna is installed on the ground observation station; sunlight comes to the surface of the globe and is reflected through the ground, the satellite borne point detectors on the various satellites receive the total light intensity in various detection directions, and a detection result is taken as a detection signal of an object arm; the area array detector detects the optical field distribution of sunlight, and a detection result is taken as a detection signal of a reference arm; the detection signals of the object arm and the reference arm are wirelessly transmitted to the ground and received by the satellite antenna; the ground observation station reconstructs a two-dimensional image observed by the various formation satellites by virtue of a compression sensing algorithm according to the received data, and then a stereo surveying and mapping image is constructed by comparing shaded area information of the images.