Abstract: A method and a system of distinguishing between a human and a machine are disclosed. The method includes: when a request for accessing a designated network service is received, recording information of the request which include a time of receiving the request and information of an access object that sends the request; computing a statistical value of requests sent by the access object in real time based on a record; and determining the access object to be abnormal when the statistical value of the requests sent by the access object falls outside a predetermined normal range. The disclosed system of distinguishing between a human and a machine includes a recording module, a computation module and a determination module. Identification between humans and machines using the disclosed scheme is difficult to be cracked down and can improve an accuracy rate of human-machine identification.

Abstract: A method and an apparatus for distinguishing humans from computers. During user registration, a computer prompts a human user to provide a spoken response to certain authentication information for registration. The computer obtains registration voice data from the spoken response and establishes a registration voiceprint of the human user. During user logon, the computer identifies the user requesting to logon by the user's logon credentials, provides authentication information for logon to the user, and prompts the user to provide a spoken response to the authentication information for logon. The computer obtains logon voice data from the spoken response, and establishes a logon voiceprint of the user. The computer then determines whether the user requesting to logon is human by comparing the logon voiceprint with the registration voiceprint.

Abstract: A method and a system of distinguishing between a human and a machine are disclosed. The method includes: when a request for accessing a designated network service is received, recording information of the request which include a time of receiving the request and information of an access object that sends the request; computing a statistical value of requests sent by the access object in real time based on a record; and determining the access object to be abnormal when the statistical value of the requests sent by the access object falls outside a predetermined normal range. The disclosed system of distinguishing between a human and a machine includes a recording module, a computation module and a determination module. Identification between humans and machines using the disclosed scheme is difficult to be cracked down and can improve an accuracy rate of human-machine identification.

Abstract: The present disclosure provides an adaptive optical retina imaging apparatus and method. The adaptive optical retina imaging apparatus comprises an optical processing unit, an adaptive optical unit, a two-dimensional scanning unit and a primary aberration correcting unit, in which an imaging unit included in the optical processing unit is imaging based on the signal after high order aberration compensation and low order aberration compensation.

Abstract: A method and an apparatus for distinguishing humans from computers. During user registration, a computer prompts a human user to provide a spoken response to certain authentication information for registration. The computer obtains registration voice data from the spoken response and establishes a registration voiceprint of the human user. During user logon, the computer identifies the user requesting to logon by the user's logon credentials, provides authentication information for logon to the user, and prompts the user to provide a spoken response to the authentication information for logon. The computer obtains logon voice data from the spoken response, and establishes a logon voiceprint of the user. The computer then determines whether the user requesting to logon is human by comparing the logon voiceprint with the registration voiceprint.

Abstract: A method and an apparatus for distinguishing humans from computers. During user registration, a computer prompts a human user to provide a spoken response to certain authentication information for registration. The computer obtains registration voice data from the spoken response and establishes a registration voiceprint of the human user. During user logon, the computer identifies the user requesting to logon by the user's logon credentials, provides authentication information for logon to the user, and prompts the user to provide a spoken response to the authentication information for logon. The computer obtains logon voice data from the spoken response, and establishes a logon voiceprint of the user. The computer then determines whether the user requesting to logon is human by comparing the logon voiceprint with the registration voiceprint.

Abstract: Provided are a microscopic surgery system and a navigation method guided by optical coherence tomography. The microscopic surgery system may include: an object lens; a surgical microscope unit configured to perform two-dimensional imaging on an area to operate on via the object lens; an optical coherence tomography unit configured to perform two-dimensional tomography imaging on the area via the object lens, with an imaging field calibrated according to that of the surgical microscope unit; a processor configured to obtain navigation information based on the two-dimensional imaging by the surgical microscope unit and the two-dimensional tomography imaging by the optical coherence tomography unit, the navigation information comprising positional information of a body part to operate on and a surgical instrument for operating on the body part; and an output unit configured to output the navigation information to guide the surgical instrument to the body part.

Abstract: A method and a system of distinguishing between a human and a machine are disclosed. The method includes: when a request for accessing a designated network service is received, recording information of the request which include a time of receiving the request and information of an access object that sends the request; computing a statistical value of requests sent by the access object in real time based on a record; and determining the access object to be abnormal when the statistical value of the requests sent by the access object falls outside a predetermined normal range. The disclosed system of distinguishing between a human and a machine includes a recording module, a computation module and a determination module. Identification between humans and machines using the disclosed scheme is difficult to be cracked down and can improve an accuracy rate of human-machine identification.

Abstract: A terminal identification method, a machine identification code registration method and related system and apparatus are disclosed. After receiving a first request for which signature or certificate verification is to be performed from a terminal, a service network obtains a signature or certificate of a trusted party for a machine identification code identifier of the terminal from the first request, wherein the machine identification code identifier being an identifier allocated by the trusted party to the machine identification code of the terminal. The service network verifies the obtained signature or certificate, and if a verification result indicates legitimacy, identifies the terminal using the machine identification code identifier obtained from the signature or certificate. The present disclosure further provides a trusted party and a method of registering a machine identification code by the trusted party.

Abstract: A method and an apparatus for distinguishing humans from computers and for controlling access to network services. One intended application of the method is a CAPTCHA technique, deployed using a shared Trusted Computing technology over a trusted network of a user terminal, a network server, and a Trusted Party, any of which may be at a Decision Point. The method distinguishes a human user making a legitimate request for network access from a programmed computer making undesired requests, by detecting unusually high network access request frequencies made by an identifiable user and/or a trusted module from the user terminal. The CAPTCHA function is further used to improve the method for controlling access to network services. The information transmitted between the members of the trusted network may be encrypted.

Abstract: A method and an apparatus for distinguishing humans from computers. During user registration, a computer prompts a human user to provide a spoken response to certain authentication information for registration. The computer obtains registration voice data from the spoken response and establishes a registration voiceprint of the human user. During user logon, the computer identifies the user requesting to logon by the user's logon credentials, provides authentication information for logon to the user, and prompts the user to provide a spoken response to the authentication information for logon. The computer obtains logon voice data from the spoken response, and establishes a logon voiceprint of the user. The computer then determines whether the user requesting to logon is human by comparing the logon voiceprint with the registration voiceprint.

Abstract: A binocular adaptive optics visual simulator and a method for binocular adaptive optics visual simulation are provided. An example method may comprise: directing beacon light to a left eye and a right eye of a subject, respectively; sensing aberrations of the left and right eyes of the subject, and sensing a deflection angle of a pupil of each of the left and right eyes; correcting the aberrations based on the sensed aberrations to achieve a desired aberration configuration between the left and right eyes; and changing a direction in which the beacon light is directed based on the sensed deflection angle in such a manner that in a case where the pupil is subjected to deflection, the beacon light is incident onto the pupil of each of the left and right eyes of the subject at a substantially identical angle before and after the deflection of the pupil.

Abstract: The device comprises a visual effecter and a display, wherein the visual effecter comprises at least one encapsulated electronic-optical element; the display can be a 2-dimensional or 3-dimensional display or any combination thereof; the display locates outside the visual effecter; and the display is subject to the visual effect of the visual effecter.

Abstract: The present invention provides a method of fast image construction. The wavelength information is extracted in advance based on characteristics of a Fourier domain Optical Coherent Tomography (OCT) system, to obtain a vector of wavelengths which are in a uniform distribution in a wave number space, and thus to obtain a virtual position coefficient of this wavelength vector at a CCD, from which a weight matrix is calculated based on a transfer function for a discrete Fourier transform with zero-padding interpolation. In operation of the system, the interpolation is carried out based on the weight matrix and collected data, or is carried out based on the weight matrix which has been truncated by being subject to windowing and the collected data, to obtain interpolated data satisfying requirements.

Abstract: A customizing equipment for individualized contact lenses comprises an uniform illumination system, a gray image generation system, a projection optical system, a stage system and an alignment system, among which the uniform illumination system generates uniform parallel illuminative light, which generates gray images through the gray image generator controlled by a computer after going through the gray image generation system according to detection results of aberration of human eyes, and images on the image plane of given radius of curvature with photoresist on the samples' surface, which is fixed on the stage system and adjusted to the correct position through the alignment system, after the gray images are zoomed and the curvature of the image field is corrected through the projection optical system, so that the photoresist on the samples' surface will be exposed according to the gray levels of the gray images, after which the exposed samples are developed and etched to obtain the device with continuous e

Abstract: The present invention proposes a human eye adaptive optical visual perception training apparatus, comprising: a human eye wave aberration measurement sub-system for measuring the human eye wave aberration of a person to be tested; a human eye wave aberration correction sub-system for driving and controlling the wavefront corrector to correct the human eye wave aberration of the person to be tested based on the measured human eye wave aberration of the tested person; and a visual perception training sub-system for processing and displaying sighting targets of different spatial frequencies and different contrasts, and presenting the sighting targets to the tested person, to conduct a human eye visual function measurement process and a visual perception training process. The apparatus according to the present invention is capable of several functions including eye aberration correction, visual function measurement, visual perception training.

Abstract: The present invention proposes a two-eye adaptive optical visual perception training apparatus, comprising: left and right eye wave aberration measurement sub-systems for measuring eye wave aberrations of the left and right eyes of a person to be tested; left and right eye wave aberration correction sub-systems for driving and controlling the wavefront corrector to correct the wave aberrations of the left and right eyes of the person to be tested based on the measured wave aberrations of the left and right eyes of the tested person; and a two-eye visual perception training sub-system for processing and displaying sighting targets of different spatial frequencies and different contrasts and presenting the sighting targets to the tested person, to conduct a two-eye visual function measurement process and a visual perception training process.

Abstract: The present invention proposes a human eye adaptive optical visual perception training apparatus, comprising: a human eye wave aberration measurement sub-system for measuring the human eye wave aberration of a person to be tested; a human eye wave aberration correction sub-system for driving and controlling the wavefront corrector to correct the human eye wave aberration of the person to be tested based on the measured human eye wave aberration of the tested person; and a visual perception training sub-system for processing and to displaying sighting targets of different spatial frequencies and different contrasts, and presenting the sighting targets to the tested person, to conduct a human eye visual function measurement process and a visual perception training process. The apparatus according to the present invention is capable of several functions including eye aberration correction, visual function measurement, visual perception training.

Abstract: The present invention proposes a two-eye adaptive optical visual perception training apparatus, comprising: left and right eye wave aberration measurement sub-systems for measuring eye wave aberrations of the left and right eyes of a person to be tested; left and right eye wave aberration correction sub-systems for driving and controlling the wavefront corrector to correct the wave aberrations of the left and right eyes of the person to be tested based on the measured wave aberrations of the left and right eyes of the tested person; and a two-eye visual perception training sub-system for processing and displaying sighting targets of different spatial frequencies and different contrasts and presenting the sighting targets to the tested person, to conduct a two-eye visual function measurement process and a visual perception training process.

Abstract: The present invention provides a method of fast image construction. The wavelength information is extracted in advance based on characteristics of a Fourier domain Optical Coherent Tomography (OCT) system, to obtain a vector of wavelengths which are in a uniform distribution in a wave number space, and thus to obtain a virtual position coefficient of this wavelength vector at a CCD, from which a weight matrix is calculated based on a transfer function for a discrete Fourier transform with zero-padding interpolation. In operation of the system, the interpolation is carried out based on the weight matrix and collected data, or is carried out based on the weight matrix which has been truncated by being subject to windowing and the collected data, to obtain interpolated data satisfying requirements.