211 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.

The invention relates to the technical field of living body fingerprint detection, and particularly discloses a living body fingerprint detection method based on multispectral and micro pulse feature fusion, which comprises the steps of signal synchronous generation, time domain alignment processing, feature matrix generation, weight dynamic adjustment, cross validation analysis, abnormal region sampling, living body model verification and living body authentication output. According to the method, the verification result is generated by synchronously collecting the multi-spectral reflection intensity and the skin displacement fluctuation sequence of the fingerprint area, dynamically adjusting the spectral absorption and pulsation track feature weight, performing cross validation to output the local abnormal area and obtain the supplementary feature data, and performing physiological coupling rule matching by using the preset living body judgment model. When three consecutive results do not conform to a living body rule, activating an anti-counterfeiting attack alarm protocol; according to the method, multispectral and micro pulse features are fused, and an environment adaptive weight mechanism is combined, so that the accuracy of living body detection is effectively improved, and the environment adaptability of a detection algorithm is enhanced.

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.

A system and method for improving inspection of software containers is presented. The method includes detecting a plurality of configuration files, each corresponding to a software container image corresponding to a software container deployed in the cloud computing environment; parsing a first configuration file to detect a first plurality of commands; generating a first fingerprint based on the detected first plurality of commands; parsing a second configuration file to detect a second plurality of commands; generating a second fingerprint based on the detected second plurality of commands; determining that the first configuration file matches the second configuration file in response to detecting a match based on the fingerprints; determining that the first configuration file mismatches the second configuration file in response to detecting a mismatch; and inspecting the first configuration file for a cybersecurity object in response to determining that the first configuration file matches the second configuration file.

The invention relates to an intelligent terminal multi-mode equipment fingerprint detection method and system, and belongs to the technical field of digital information transmission, and the method comprises the steps: a multi-dimensional feature collection module is used for collecting hardware bottom-layer features, software configuration features, behavior dynamic features and environment and time features; the adaptive feature fusion module is connected with the multi-dimensional feature acquisition module and is used for performing preprocessing, dynamic weight distribution and Hash fusion on the multi-dimensional features to generate an equipment fingerprint Hash value; the dynamic anti-bypassing verification module is connected with the multi-dimensional feature acquisition module and the adaptive feature fusion module, and is used for feature verification, Hook behavior recognition, core feature encryption storage and strategy updating; the method has the beneficial effects that the extreme uniqueness of fingerprints is realized by fusing 12-dimensional features and combining adaptive weight allocation and SHA-256 Hash fusion, different terminals can be accurately distinguished, and identity confusion caused by fingerprint repetition is avoided.

The invention provides a display device, a display method and a display panel. The display device comprises the display panel and a processor. The display panel comprises a plurality of pixel units and a temperature sensor module; the temperature sensor module is arranged corresponding to a fingerprint detection area arranged on the display panel and is used for monitoring a first environment temperature of the fingerprint detection area; each pixel unit comprises a plurality of sub-pixels; and the processor is used for querying a preset brightness compensation table based on the first environment temperature to obtain a target brightness compensation coefficient corresponding to the sub-pixel in the compensation temperature interval corresponding to the first environment temperature so as to perform gamma compensation on each sub-pixel in the fingerprint detection area. The environment temperature of the fingerprint detection area is monitored in real time, and the brightness compensation coefficient is dynamically adjusted to perform gamma compensation on each sub-pixel in the fingerprint detection area, so that the problem of inconsistent brightness and chrominance of light spots caused by temperature change is solved, and the fingerprint identification accuracy and the user experience are improved.

To provide a fingerprint detection liquid that can be readily produced without using a large amount of solvents other than fluorinated ones, and that remains usable even after storage for a predetermined duration.SOLUTION: A fingerprint detection liquid comprises: at least one compound selected from the group consisting of ninhydrin, a ninhydrin derivative, 1,8-diazafluoren-9-one, 1,2-indanedione, and hydrindantin; and a solvent containing a hydrochlorofluoroolefin having a boiling point of 40 to 90°C.SELECTED DRAWING: None

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 provides a kind of zhangtou red pericarpium citri reticulatae UPLC quantitative fingerprint detection method, belongs to the quality detection technical field of traditional Chinese medicine.The detection method is prepared by reference solution, preparation of test solution, using ultra high performance liquid chromatography analysis, multiple batches of liquid chromatogram is introduced into "traditional Chinese medicine chromatographic fingerprint similarity evaluation system", 21 common peaks are identified, similarity matching is carried out with 21 common peaks, and the control spectrum of zhangtou red pericarpium citri reticulatae is generated.On this basis, combined with hesperidin, sweet orange flavone, chuan chenpisi, tangeretin, 5-dimethyl chuan chenpisi 5 flavonoid content determination, zhangtou red pericarpium citri reticulatae quantitative fingerprint is established.The application realizes that fingerprint detection and the content determination of 5 flavonoids of zhangtou red pericarpium citri reticulatae can be completed at the same time through one analysis, can quickly, comprehensively and accurately evaluate the quality of zhangtou red pericarpium citri reticulatae, has good reproducibility and stability, and can provide technical support for the uniformity and stability of zhangtou red pericarpium citri reticulatae quality.

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.

Embodiments of the present application provide an ultrasonic image acquisition method, an ultrasonic fingerprint chip, an electronic device and an ultrasonic fingerprint detection method. The ultrasonic image acquisition method comprises: in response to meeting an automatic image acquisition condition, acquiring a current temperature of an environment in which the ultrasonic fingerprint chip is located; determining whether a preset image acquisition condition is met based on the current temperature, wherein the preset image acquisition condition is a condition for indicating that the number of background images obtained at the current temperature is not up to standard, and the background image is an ultrasonic image without fingerprints collected by the ultrasonic fingerprint chip; and if the preset image acquisition condition is met, causing the ultrasonic fingerprint chip to perform ultrasonic image acquisition to obtain at least one target background image at the current temperature.

Provided in the embodiments of the present application are an ultrasonic fingerprint detection method and apparatus, and an electronic device and a storage medium. The ultrasonic fingerprint detection method comprises: acquiring the current temperature and / or the current film status of a conductive medium, wherein 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; on the basis of the current temperature and / or the current film status, determining the number n of transmissions of ultrasonic waves, wherein n is a positive integer; controlling the ultrasonic sensor to transmit ultrasonic signals to the conductive medium n times, and receiving an echo signal formed after each transmitted ultrasonic signal is reflected; and performing fingerprint detection on the basis of the echo signal. The embodiments of the present application can significantly reduce the impact of noise on fingerprint detection, and can ensure the stability of the accuracy of fingerprint detection, thereby improving the performance of fingerprint detection.

The present application discloses a biometric detection structure and a manufacturing method thereof. The biometric detection structure includes a light-transmitting layer, a light source and a photosensitive element are arranged on one side of the light-transmitting layer, and a high-refractive-index layer is arranged on the other side of the light-transmitting layer. By utilizing the original light source of the display screen and the light-transmitting layer, the light source necessary for optical detection is combined with the light source of the display screen itself, and a high-refractive-index layer is arranged on the original glass layer. Under the premise of not affecting the screen display performance, fingerprint detection is innovatively realized, and the detection effect is enhanced by arranging a dielectric layer between the light-transmitting layer and the high-refractive-index layer, realizing the compatibility between the display screen of the electronic device and the fingerprint recognition detection system. The manufacturing method provided by the present application is simple and easy to implement, and can be realized by continuously coating on the basis of the original structure of the display screen of the electronic device.

Various embodiments of the invention are detection systems and methods for detecting call provenance based on call audio. An exemplary embodiment of the detection system can comprise a characterization unit, a labeling unit, and an identification unit. The characterization unit can extract various characteristics of networks through which a call traversed, based on call audio. The labeling unit can be trained on prior call data and can identify one or more codecs used to encode the call, based on the call audio. The identification unit can utilize the characteristics of traversed networks and the identified codecs, and based on this information, the identification unit can provide a provenance fingerprint for the call. Based on the call provenance fingerprint, the detection system can identify, verify, or provide forensic information about a call audio source.

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.

The application belongs to the technical field of artificial intelligence, and particularly relates to a meta-learning neural network fingerprint detection method based on self-adaptive fingerprints; the method is suitable for intellectual property protection of a plurality of downstream task models; a plurality of self-adaptive fingerprint samples are constructed for a target model, and then it is detected whether the outputs of the self-adaptive fingerprint samples in a suspect model can pass the detection of a meta verification model; the fingerprint detection mechanism of the application is based on the confidence vector output of the suspect model on the self-adaptive fingerprint samples, rather than the output label of the adversarial sample, and thus is not related to a specific task type and does not depend on training data, and can be widely applied to neural network fingerprint detection of various task types, such as classification, regression, and generation model, to protect the intellectual property of the neural network, and has good robustness and uniqueness for various positive and negative example suspect models.

The invention provides a fingerprint detection method and device. The fingerprint detection method comprises the following steps: acquiring a fingerprint image through a fingerprint sensor; determining a first score of the fingerprint image based on a first fingerprint detection mode; determining a second score of the fingerprint image based on a second fingerprint detection mode and the first score in response to the first score exceeding a first threshold value; and determining a fingerprint detection result based on the first score and the second score, thereby improving generalization and accuracy of fingerprint detection without adding extra hardware.

The invention relates to and provides a fingerprint spectrum of musk-chuan NaoLiantong granules and a detection method for quantitative analysis of multiple components by single marker. The fingerprint spectrum detection method has the characteristics of simplicity and convenience in operation and good stability and reproducibility. 13 common peaks exist in an HPLC (High Performance Liquid Chromatography) fingerprint spectrum of 15 batches of musk-chuan naoeutong granules, and 7 components in the fingerprint spectrum, namely geniposidic acid, chlorogenic acid, cowherb seed flavonoid glycoside, ferulic acid, senkyunolide I, salvianolic acid B and tanshinone IIA, are identified. The similarity of the 15 batches of the musk and chuan naoliantong granules is 0.961-1. According to the fingerprint spectrum detection method, 13 representative common characteristic peaks are determined so as to comprehensively reflect the internal quality characteristics of the musk-chuan naoliantong preparation.

The invention discloses a fingerprint detection method for distinguishing tetrastigma hemsleyanum Diels et Gilg from origin of Zhejiang, Fujian and Guangxi Zhuang autonomous districts, which comprises the following steps: (1) collecting tetrastigma hemsleyanum Diels et Gilg samples from origin of Zhejiang, Fujian and Guangxi Zhuang autonomous districts, and drying in the sun; (2) preparing a test sample solution for the samples, and determining the test sample solution by adopting a high performance liquid chromatography to respectively generate contrast fingerprints of radix tetrastigme in the production places of the autonomous regions of Zhejiang, Fujian and Guangxi Zhuang; (3) generating a chromatogram of an unknown tetrastigma hemsleyanum Diels et Gilg sample by adopting a method in the step (2), carrying out similarity calculation on the chromatogram and the fingerprints of tetrastigma hemsleyanum Diels et Gilg in the autonomous regions of Zhejiang, Fujian and Guangxi Zhuang by adopting traditional Chinese medicine chromatographic fingerprint similarity evaluation system software, and if the similarity is more than 0.8, considering that the tetrastigma hemsleyanum Diels et Gilg belongs to the corresponding origin; and evaluating the producing area of the tetrastigma hemsleyanum sample. Tetrastigma hemsleyanum Diels et Gilg in different producing areas such as Zhejiang, Fujian and Guangxi Zhuang autonomous regions can be effectively distinguished, and quality evaluation and clinical medication of the Tetrastigma hemsleyanum Diels et Gilg are facilitated.

The invention discloses a terahertz molecular fingerprint sensor based on an over-coupling metasurface and electronic equipment, and relates to the field of terahertz detection. Comprising fingerprint detection unit arrays which are periodically arranged and have the same structure; each fingerprint detection unit comprises a substrate layer, a first metal layer and a protruding structure. The first metal layer is arranged above the substrate layer and has the same cross sectional area with the substrate layer; the protruding structure is arranged above the first metal layer, and the cross section area of the protruding structure is smaller than that of the first metal layer. When the terahertz molecular fingerprint sensor detects a to-be-detected sample, the target position of the first metal layer and the upper surface of the protruding structure are coated with the to-be-detected sample. Terahertz waves are set to vertically enter the over-coupling metasurface, the coupling state of the terahertz waves and the metasurface is changed by adjusting the size of the protruding structure, and qualitative and quantitative detection is carried out on a to-be-detected sample. According to the invention, only a single device is needed, single detection is carried out through a single incident signal, and broadband fingerprint detection and'one-device double-detection 'of a trace sample to be detected are realized.

The invention discloses a bank voucher and ticket automatic auditing method and device, equipment and a storage medium. The method comprises the following steps: acquiring element data in a data bin: an account number, a voucher number, a name and an amount, and acquiring a to-be-processed bank voucher and a to-be-processed ticket picture for picture preprocessing; obtaining picture content and corresponding position information; carrying out regular matching on the picture content, if the picture content can be matched, judging whether the picture content is repeated or not, if the picture content is not repeated, extracting by using a regular expression, and otherwise, carrying out confidence evaluation according to the relative position to determine the extracted picture content; for unmatched signatures and fingerprints, detecting the positions of the signatures and fingerprints, intercepting and storing signature pictures, and generating signature data; performing similarity evaluation on the name and signature data, and if the evaluation is qualified, determining that the signatures are consistent; and performing single-item corresponding auditing on other element data and the extracted picture content, if the element data and the extracted picture content are consistent, passing the auditing, otherwise, performing manual rechecking. The auditing efficiency and accuracy can be effectively improved.

The invention relates to the technical field of medicine component content determination, in particular to a traditional Chinese medicine fingerprint spectrum detection method of a serpentgrass preparation, which finally determines a chromatographic column: Agilent color type: ZORBAX Eclipse Plus C18 4.6 * 250mm * 5mu m, a mobile phase A being 0.1% phosphoric acid water, a mobile phase B being methanol and a column temperature being 30 DEG C by combining repeated exploration and saving time and reagent cost; the sample size is 10 mu L, the chromatographic peak shape of each component is relatively good, the peak appearance time is stable, the linear relation, the precision, the repeatability and the stability are good, and the average recovery rate of luteolin in a sample of a sample adding recovery experiment is 95.2%; the method can be used for guiding feeding in the production and preparation process of the polygonum viviparum preparation and standardizing production operation, so that the integrity and controllability of quality control in the whole process are ensured, and the safety, effectiveness and stability of clinical medication are ensured.

The invention discloses an operating system fingerprint simulation method and device, equipment, a medium and a product. The method comprises the following steps: capturing a plurality of first detection messages received by a detection host by using an eBPF program through an eBPF virtual machine in a kernel mode; feature information corresponding to the multiple first detection messages is extracted, a second detection message in the multiple first detection messages is determined according to the feature information, and the second detection message belongs to an Nmap operating system fingerprint detection packet in any detection stage in Nmap operating system fingerprint scanning; filtering the second detection message; generating a performance event according to attribute information of an Nmap operating system fingerprint detection packet corresponding to the second detection message, and storing the performance event in an eBPF map data structure; and the user mode program reads the corresponding performance event through the file descriptor so as to simulate the fingerprint of the Nmap operating system. According to the embodiment of the invention, the influence on the performance of the operating system can be reduced to the minimum while the fingerprint of the operating system is disguised.

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 an abdominal aortic aneurysm serum protein fingerprint detection and analysis method and system based on an LASSO regression algorithm. The method comprises the following steps: by optimizing a serum sample pretreatment process and combining an MALDI-TOFMS (Matrix-Assisted Laser Desorption / Ionization Time of Flight Mass Spectrometry) mass spectrometry technology and high-throughput proteomics data analysis, screening differentially expressed proteins related to occurrence, development and rupture of abdominal aortic aneurysm in serum; and further constructing a risk assessment model based on the key protein combination by using an LASSO machine learning algorithm. The method provided by the invention has the advantages of high sensitivity and good specificity, can effectively distinguish abdominal aortic aneurysm patients from normal people, can accurately predict the rupture risk of abdominal aortic aneurysm, especially early small aneurysm, and provides important tools and bases for clinical early diagnosis, risk stratification and personalized treatment decision.

The present invention discloses a photoelectric conversion circuit, a driving method thereof, and a display device. The photoelectric conversion circuit includes a photosensitive circuit and a reading circuit. In a first state, the photosensitive circuit couples to a reading node according to an electrical signal converted from an optical signal. The reading circuit is used to convert the signal of the reading node into a detection signal, and outputs the detection signal in response to the control of the reading control signal terminal. In a second state, the photosensitive circuit outputs the electrical signal converted from the optical signal through a reference voltage node to charge the battery. The photoelectric conversion circuit, a driving method thereof, and a display device provided by an embodiment of the present invention perform fingerprint detection through the photosensitive circuit in the first state. In the second state, the photosensitive circuit uses the electrical signal converted from the optical signal to charge the battery using the electrical signal converted from the optical signal, thereby realizing fingerprint recognition and charging functions and improving the battery life of the device.

The invention relates to the technical field of detection methods, and provides a fingerprint spectrum detection method of a traditional Chinese medicine composition with a hypoglycemic effect, and the method comprises the following steps: taking a reference substance solution and a test solution, and carrying out high performance liquid chromatography detection to obtain a fingerprint spectrum of the traditional Chinese medicine composition; during high performance liquid chromatography detection, acetonitrile is used as a mobile phase A, a phosphoric acid aqueous solution is used as a mobile phase B, and gradient elution is adopted. According to the technical scheme, the problems of poor reproducibility and unstable precision of the detection method of the traditional Chinese medicine composition in the related technology are solved.

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.