92 results about "Fingerprint detection" patented technology

The invention relates to the field of industrial Internet of Things data processing, in particular to an industrial Internet of Things data acquisition and elastic transmission method. The method comprises the following steps: acquiring a process unit topology and monitoring target configuration, performing process unit code registration, probe layout scheme generation and acquisition session configuration structure registration processing, and generating an acquisition session configuration structure; time anchor point unified processing, change node alignment sequence generation and contact value grading threshold registration processing are executed, and a data importance grading table structure is generated; executing fingerprint detection session list generation, network state fingerprint matrix construction and network state category judgment processing, and generating a network state category structure; and carrying out elastic transmission strategy graph construction and strategy version record registration processing to generate an elastic transmission execution configuration structure. According to the invention, through multi-level data processing and intelligent state perception, accurate alignment of data acquisition and elastic self-adaption of transmission are realized, and the reliability and efficiency of an industrial Internet of Things system are effectively improved.

Provided in the present invention is a method for detecting the fingerprint of an analgesic cream for knocks and falls, relating to the technical field of drug detection. The detection method comprises the following steps: preparing a test sample solution; preparing a reference sample solution; and injecting the test sample solution and the reference sample solution into a high performance liquid chromatograph, and recording the chromatogram. The method has the advantages of simplicity, stability, high precision, and good reproducibility. The method can conduct multicomponent fingerprint research on the analgesic cream for knocks and falls, and perform attribute research and similarity evaluation on main chromatographic peaks. The method comprehensively reflects the uniformity and stability of the analgesic cream for knocks and falls, and can evaluate, more comprehensively and scientifically, the quality of the analgesic cream for knocks and falls, thereby ensuring the quality and efficacy of the product.

The invention discloses a solution immersion type fingerprint detection method based on AIEgens, which comprises the step of carrying out immersion type fluorescent fingerprint detection based on the aggregation-induced emission effect of an organic fluorescent compound TPP-APBP-P. TPP is used as a luminous substrate, a long chain is connected to the luminous substrate to improve the lipophilicity of the luminous substrate, TPP-APBP-P is obtained, meanwhile, the PH of a solution is adjusted to improve the hydrophilicity of the luminous substrate, and finally the detection effect of the luminous substrate on potential fingerprints is improved; the fingerprint detector has very excellent detection effects on fingerprints in a high-temperature environment and aged fingerprints, and has high contrast, high sensitivity and high precision on fingerprint development.

The application discloses an optical fingerprint identification chip and an electronic device. The optical fingerprint identification chip comprises a light-transmitting cover plate, a substrate and encapsulating glue. The substrate is provided with a touch component, a light-emitting component and a fingerprint identification die close to the surface of the light-transmitting cover plate. The touch component is used for responding to the touch operation of a finger on the light-transmitting cover plate and generating a trigger signal. The light-emitting component is used for emitting light to the light-transmitting cover plate according to the trigger signal. The fingerprint identification die is used for receiving the light reflected by the finger on the light-transmitting cover plate according to the trigger signal to perform fingerprint detection. The encapsulating glue is arranged between the light-transmitting cover plate and the substrate and connects the light-transmitting cover plate and the substrate. The optical fingerprint identification chip provided by the application is integrally packaged, and when the electronic device is assembled or repaired, the damage of the fingerprint identification die caused by accidental collision can be avoided, and the assembly process difficulty of the electronic device is reduced.

This invention provides a live fingerprint recognition system and a fingerprint detection module. The fingerprint detection module includes a spectral chip, a circuit board, an optical component, and a bracket. The spectral chip is disposed on and electrically connected to the circuit board. The bracket is disposed on the circuit board, and the optical component is fixed by the bracket and supported by the bracket in the photosensitive path of the spectral chip. The reflected light from the fingerprint to be tested is received by the spectral chip through the optical component, and the spectral chip detects the fingerprint information based on the spectral information of the reflected light.

Embodiments of the present application provide a kind of under-screen fingerprint detection component, fingerprint detection method, device and electronic equipment, by controlling module movement module moves, drives the fingerprint acquisition module that is fixedly connected on module movement module to the touch position of display screen moves, during the movement of module movement module, by module position detection module, the position of fingerprint acquisition module is detected in real time, ensure that fingerprint acquisition module can accurately move to the below of the touch position of display screen and carry out fingerprint acquisition operation, wide-area fingerprint unlocking of optical under-screen fingerprint has been realized, user touch operation in the sliding range of reel slide chain can complete fingerprint unlocking, improve the convenience of use of user.

The invention discloses a red yeast rice fingerprint spectrum detection method. The fingerprint detection method is developed for the monacolin compound in the monascus, whether the to-be-detected sample contains the monascus meeting the quality requirement or not can be directly judged by comparing the similarity of the to-be-detected sample and the contrast fingerprint, the detection efficiency is improved, and the detection cost is reduced.

The application discloses a kind of chuan shegan oral liquid fingerprint detection method and quality control method, comprising the following steps: using 40-60% ethanol solution to chuan shegan oral liquid is extracted by ultrasound, after centrifugation, filtration, dilution, obtain the liquid to be measured;Using ultra-high performance liquid chromatograph to detect the liquid to be measured, obtain chromatogram and spectrogram, establish the standard atlas of chuan shegan oral liquid;Chromatographic condition is: mobile phase A is acetonitrile, mobile phase B is 0.4% phosphoric acid aqueous solution, column temperature is 39-41 DEG C;The flow rate of mobile phase: 0.3-0.4mL / min;Detection condition: PDA detector, 3D scanning range 190-400nm and extract maximum value diagram, or using the chromatogram of detection channel for wavelength 264nm, can obtain two kinds of fingerprint. By liquid chromatography, shegan glycoside in chuan shegan and other ten or so compounds are determined at a time, simple and fast, good separation effect, high determination accuracy, good result reproducibility, easy to observe, strong specificity, good chromatographic peak peak shape.

An ultrasonic fingerprint detection device and an electronic device are provided, which can reduce the size, circuit complexity and cost of the ultrasonic fingerprint detection device. The ultrasonic fingerprint detection device includes: a signal generation circuit and an ultrasonic fingerprint sensor chip, where the signal generation circuit is composed of discrete devices and the signal generation circuit includes: a control circuit and a resonant circuit, the control circuit is configured to receive a control signal provided by the ultrasonic fingerprint sensor chip and generate an excitation signal under the action of the control signal, and the resonant circuit is configured to receive the excitation signal and form a drive signal under the action of the excitation signal; and the ultrasonic fingerprint sensor chip is configured to receive the drive signal, and generate an ultrasonic signal for fingerprint detection under the action of the drive signal.

An ion implanter. The ion implanter may include an ion source to generate a continuous ion beam, and a linear accelerator to receive generate a bunched ion beam from the continuous ion beam, and accelerate the bunched ion beam. The linear accelerator may include a plurality of acceleration stages, arranged to accelerate the bunched ion beam to a plurality of energy levels, respectively, and a beam energy measurement system, arranged to measure a beam energy of the bunched ion beam, after exiting at least one of the plurality of acceleration stages. As such, the beam energy measurement system may include a fingerprint signal generation circuit, to impart a fingerprint signal into an RF signal to an acceleration stage of the linear accelerator, and a fingerprint detection circuit, disposed downstream of the acceleration stage, and arranged to detect the fingerprint signal.

The application provides an ultrasonic fingerprint identification method, an ultrasonic fingerprint device and an electronic device. The method is executed by the ultrasonic fingerprint device, the ultrasonic fingerprint device is arranged below the screen of the electronic device to realize under-screen ultrasonic fingerprint identification, and the method comprises the following steps: acquiring a first function representing the corresponding relationship between temperature and background signal, wherein the background signal is an ultrasonic signal without fingerprint information received when no finger presses the screen; acquiring a current temperature when a finger presses the screen, and determining a target background signal corresponding to the current temperature according to the current temperature and the first function; emitting an ultrasonic signal to the finger, and receiving an ultrasonic fingerprint signal carrying the fingerprint information returned by the finger, wherein the fingerprint image of the finger is obtained based on the difference between the ultrasonic fingerprint signal and the target background signal. In this way, the influence of temperature on ultrasonic fingerprint detection is reduced.

The invention discloses an inter-harmonic fingerprint detection method for a high-resistance grounding fault of a 10kV power distribution network, relates to the technical field of power system fault detection, and solves the problem that in the prior art, an original second-level synchronous averaging method and the like cannot detect weak faults due to the fact that key information is wrongly filtered out. The method does not try to filter the random signal any more, but specially analyzes the performance of the random signal on the frequency spectrum. The method comprises the following steps: acquiring original and unaveraged zero-sequence current data; transforming to a frequency domain by means of FFT (Fast Fourier Transform) and the like; on a spectrogram, avoiding power frequency and integer harmonic peaks full of background interference, and focusing on a plain zone between the power frequency and the integer harmonic peaks, namely an inter-harmonic frequency band; constructing a multi-dimensional'fingerprint vector 'by calculating the energy upheaval degree of the'plain' zones; and finally, intelligently identifying whether the fingerprint conforms to the characteristics of the arc fault or not by utilizing mode identification technologies such as machine learning and the like.

The present disclosure relates to a fingerprint detection device, a fingerprint chip, a display device and an electronic device, which are applied to a display panel, and the device comprises a switching module connected to an optical fingerprint chip, used for switching the working mode of the optical fingerprint chip to a touch detection mode or a fingerprint collection mode, wherein when the optical fingerprint chip works in the touch detection mode, the optical fingerprint chip is used for detecting whether the display panel is touched; when the optical fingerprint chip works in the fingerprint collection mode, the optical fingerprint chip is used for collecting fingerprints. The embodiment of the present disclosure can detect whether the display panel is touched by using the optical fingerprint chip, and collect fingerprints. Compared with the related art, the use of touch sensors or pressure sensors is saved, the cost is saved, and the process complexity is reduced, so that the response speed is improved and the overall power consumption is reduced.

There is provided a method for training a fake fingerprint detection model, performed by a training device for the fake fingerprint detection model, the method comprising: acquiring a physical fake fingerprint image generated in a physical manner targeting a finger; providing generation constraints and a unique identification information to a training fingerprint image generation model; generating a training fingerprint image by using the training fingerprint image generation model, so that the unique identification information of the training fingerprint image is mapped onto a real fingerprint of the finger; and training the fake fingerprint detection model using the physical fake fingerprint image and the training fingerprint image in a transfer learning manner or an ensemble learning manner.

The invention discloses a lightweight fingerprint living body detection method and device, computer equipment and a storage medium, and relates to the technical field of fingerprint detection, a first lightweight living body detection model and a second lightweight living body detection model are deployed in an MCU, and the method comprises the following steps: collecting a fingerprint image to be detected; compressing the fingerprint image to a preset resolution to obtain a compressed image, and segmenting the fingerprint image to obtain a plurality of non-overlapping sub-block images; inputting the compressed image into a first lightweight living body detection model to obtain a first discrimination result of the fingerprint image; inputting each sub-block image into a second lightweight in-vivo detection model to obtain a discrimination result of each sub-block image, and determining a second discrimination result of the fingerprint image based on the in-vivo discrimination result of each sub-block image; and the fingerprint living body state of the fingerprint image is determined based on the first judgment result and the second judgment result of the fingerprint image, so that high-precision judgment of fingerprint living body detection can be realized under the harsh computing power and memory limitation of an MCU (Microprogrammed Control Unit).

Implementations relate to user authentication and spoof detection for a device using a fingerprint sensor and additional device sensors. In some implementations, a computer-implemented method includes analyzing a fingerprint image from a fingerprint sensor of a device, to determine fingerprint detection score(s). If these scores meet fingerprint validity thresholds by greater than a respective particular range, a positive authentication indication is provided. Respective sensor data is obtained from additional sensors of the device, such as an inertial measurement unit, ambient light sensor, proximity sensor, touchscreen, etc. If one or more fingerprint detection scores meet their fingerprint validity thresholds within the respective particular range, respective context scores are determined for the sensor data of each additional sensor. If the context scores meet respective context validity thresholds, the positive authentication indication is provided, or otherwise a negative authentication indication is provided.

There is provided a method for training a fake fingerprint detection model, performed by a training device for the fake fingerprint detection model, the method comprising: acquiring a physical fake fingerprint image generated in a physical manner targeting a finger; providing generation constraints and a unique identification information to a training fingerprint image generation model; generating a training fingerprint image by using the training fingerprint image generation model, so that the unique identification information of the training fingerprint image is mapped onto a real fingerprint of the finger; and training the fake fingerprint detection model using the physical fake fingerprint image and the training fingerprint image in a transfer learning manner or an ensemble learning manner.

The application provides an optical fingerprint detection device and a preparation method thereof and an electronic device, and solves the problem of low fingerprint detection sensitivity in the prior art. The optical fingerprint detection device comprises a first electrode and a second electrode; and a plurality of photosensitive units located between the first electrode and the second electrode, the plurality of photosensitive units are arranged at intervals in a direction parallel to the first electrode and the second electrode, the intervals between the plurality of photosensitive units are filled with a dielectric material, and the dielectric constant of the dielectric material is lower than the dielectric constant of the photosensitive unit.

The invention relates to a water entry detection method and device, equipment, a storage medium and a program product. The method comprises the following steps: determining whether the terminal meets a target condition according to a detection signal output by a touch screen of the terminal, wherein the target condition is used for representing the possibility that the terminal enters underwater; and if the target condition is met, determining whether the terminal enters water or not according to a detection result of a first touch event of a fingerprint identification area on a screen output by an ultrasonic fingerprint detection device of the terminal and a detection result of a second touch event of the screen output by the touch screen. By adopting the method, terminal water entry detection can be realized.

Implementations relate to user authentication and spoof detection for a device using a fingerprint sensor and additional device sensors. In some implementations, a computer-implemented method includes analyzing a fingerprint image from a fingerprint sensor of a device, to determine fingerprint detection score(s). If these scores meet fingerprint validity thresholds by greater than a respective particular range, a positive authentication indication is provided. Respective sensor data is obtained from additional sensors of the device, such as an inertial measurement unit, ambient light sensor, proximity sensor, touchscreen, etc. If one or more fingerprint detection scores meet their fingerprint validity thresholds within the respective particular range, respective context scores are determined for the sensor data of each additional sensor. If the context scores meet respective context validity thresholds, the positive authentication indication is provided, or otherwise a negative authentication indication is provided.

The present disclosure relates to the technical field of display, and provides an ultrasonic fingerprint detection device and a display panel. The ultrasonic fingerprint detection device comprises a plurality of fingerprint detection units arranged in an array along a first direction and a second direction. Each fingerprint detection unit comprises a fingerprint detection circuit. The fingerprint detection circuit comprises a driving transistor and a first transistor. A first electrode of the driving transistor is connected to a first signal line, and a second electrode of the driving transistor is connected to a first electrode of the first transistor. The ultrasonic fingerprint detection device further comprises a base substrate, a first conductive portion, and a first gate connection line. The first conductive portion comprises a first extension section and a second extension section extending in the first direction. At least a portion of the first extension section is used to form a gate of the driving transistor. The size of an orthographic projection of the first extension section on the base substrate in the second direction is greater than the size of an orthographic projection of the second extension section on the base substrate in the second direction. The first gate connection line is connected to a gate of the first transistor. An orthographic projection of the first gate connection line on the base substrate extends along the second direction and at least partially overlaps with the orthographic projection of the second extension section on the base substrate. The ultrasonic fingerprint detection device has high detection accuracy.

The invention discloses a fingerprint spectrum detection method of a consistent decoction reference sample and application, and relates to the technical field of traditional Chinese medicine detection. According to the fingerprint detection method, a test solution is determined and analyzed by adopting a high performance liquid chromatography, and the conditions of the high performance liquid chromatography are as follows: a chromatographic column is a C18 chromatographic column; the column temperature is 28-32 DEG C; the detection wavelength is 0 to 25 minutes, and the wavelength is 278 to 282nm; in 25-66 minutes, the wavelength is 318-322 nm; the time is 66 to 80 minutes, and the wavelength is 278 to 282nm; the time is 80 to 90 minutes, and the wavelength is 318 to 322 nm; the mobile phase A is acetonitrile, and the mobile phase B is a 0.09-0.11 wt% phosphoric acid solution; and eluting by adopting a gradient elution procedure. According to the method, digitonin C, 4-cumaric acid, ferulic acid, rutin, verbascoside, senkyunolide I and ligustilide in the consistent decoction can be detected at a time, and the method is high in accuracy, good in repeatability, high in durability and good in specificity.

A display device includes a window on which a fingerprint detection area is defined in which fingerprint information is detected, an optical layer disposed below the window and in which at least one transmission hole overlapping the fingerprint detection area is defined, a protective layer disposed below the optical layer, and a sensor. A refractive index of the protective layer is greater than a refractive index of the window. A distance from the optical layer to the window is less than a distance from the optical layer to the sensor.

Embodiments of the present application provide a fingerprint detection method and apparatus, a program product, and a storage medium. The method comprises: acquiring native domain information of a fingerprint to be detected, wherein the native domain information is raw data collected during fingerprint verification of said fingerprint; performing fingerprint feature extraction on the native domain information to obtain fingerprint feature matrices of said fingerprint; performing a classification operation on the fingerprint feature matrices by means of a trained medium classification network to obtain a fingerprint medium classification vector of said fingerprint, wherein the fingerprint medium classification vector is used for representing, in a vector form, the probabilities that said fingerprint belongs to a plurality of medium types separately; and determining the medium type of said fingerprint on the basis of the fingerprint medium classification vector. By means of the present application, the problem in the related art of being unable to effectively detect the types of fingerprint media is solved.

The invention relates to a display screen control method and device, electronic equipment, a storage medium and a program product. The method comprises the following steps: when a display screen of the electronic equipment is switched to a screen-off state and an object is detected to press a fingerprint identification area of a touch screen of the electronic equipment, obtaining pressing times, a screen-off identifier and a fingerprint detection identifier of the fingerprint identification area in a screen-on state; under the condition that the number of pressing times is not equal to zero, the screen-off identifier is a first screen-off identifier, and the fingerprint detection identifier is a first detection identifier, obtaining updated reference capacitance of each intersection point in the fingerprint identification area; the first screen-off identifier represents that the display screen is switched to a screen-off state for the first time, and the first detection identifier represents that the fingerprint detection module is started for the first time after the screen is off; and controlling the display screen to keep a screen-off state based on the updated reference capacitance of each intersection point in the fingerprint identification area. By adopting the method, the problem that the display screen is switched to the bright screen state due to the fact that fingerprint identification is triggered by misjudgment can be solved.

A method and apparatus for detecting a fingerprint with ultrasonic waves, an electronic device and a storage medium are provided. The method includes: acquiring a current temperature and / or a current film application state of a conductive medium, where a first side surface of the conductive medium is attached to an ultrasonic sensor, and a second side surface of the conductive medium provides a pressing surface; determining a number of ultrasonic emission times n based on the current temperature and / or the current film application state, where n is a positive integer; controlling the ultrasonic sensor to emit ultrasonic signals n times to the conductive medium, and receiving an echo signal formed after each emitted ultrasonic signal is reflected; and performing fingerprint detection based on the echo signal.

The invention belongs to the crossing field of a terahertz sensing technology, a metamaterial and a biomolecule detection technology, and provides a terahertz ultra-wideband molecular fingerprint sensor and a detection method. The sensor comprises a quartz dielectric substrate and all-dielectric silicon elliptical dimer resonance units periodically arranged on the surface of the quartz dielectric substrate. The resonance units are sequentially scaled in the pixelated metasurface array according to the size scaling factor S; by designing a rotational symmetry structure of the elliptical dimer, a high-Q-value resonance mode dominated by a magnetic dipole is excited; each resonance unit generates a resonance valley corresponding to an independent frequency, the frequency of each resonance valley is subjected to red shift by adjusting an S factor, and a broadband molecular fingerprint spectrum envelope covering a set range is jointly formed, so that ultra-wideband and high-sensitivity multi-component molecular fingerprint detection is realized.

The application relates to the technical field of intelligent decision-making, and discloses a text detection method, a text detection device, equipment and a medium: a to-be-detected text is acquired, multi-modal analysis is performed on the to-be-detected text, and a multi-modal text fingerprint is obtained; when a text verification result of the to-be-detected text represents that all text verifications pass, a text semantic version graph is acquired; text matching is performed on the multi-modal text fingerprint and historical text fingerprints in the text semantic version graph, and a target detection text is obtained; a difference between the to-be-detected text and the target detection text is determined as a semantic difference, and when the semantic difference is key field information and a state of the target detection text is completed, the to-be-detected text is determined as a risk text. The application is applied to a financial scene. Through the multi-modal text fingerprint and the text semantic version graph, subtle information in the to-be-detected text and overall text fingerprint detection are realized, and the accuracy and reliability of risk text detection are improved.

This invention discloses BODIPY dyes, their preparation methods, and their applications in latent fingerprint recognition. The invention prepares four BODIPY dyes with different structures and emission colors, all exhibiting high fluorescence quantum yields (over 55% absolute fluorescence quantum yield) and excellent lipophilicity. Using a spray method, latent fingerprints on different substrates can be efficiently and conveniently detected within 10 seconds. Furthermore, the detection solution demonstrates excellent stability, can be stored for up to 30 days, and achieves a color change from green to red through modulation. This modulation effectively addresses complex background colors, ensuring optimal latent fingerprint detection results under various color backgrounds.