188results about How to "Improve verification accuracy" patented technology

A method and apparatus for automatically identifying the contents of an instrument tray by use of a radio-frequency tag (RFID) is disclosed. The method, apparatus, and system enable the instrument tray to receive an interrogation signal from a reader and to respond to the interrogation signal with a code comprised of its identifying information as well as its contents of radio frequency tagged instruments. Both the instrument tray and/or the reader may be coupled by a proximity electromagnetic field, an inductive coupling, or may be units of a wireless LAN system such as a wireless fidelity local area network. The interrogation signal interrogates the tray to ascertain its contents, and the tray in turn transmits a signal to the reader to inform the reader of its contents. The method, apparatus, and system can track, inspect, and verify inbound and outbound surgical instrument trays and kits, to assess, for example, the surgical instruments' and trays' duty life cycle usage.

The invention discloses a biometrics-based device for detecting identity of people and identification, which comprises an omni-directional vision sensor used for acquiring the facial image of an ID card holder, an ID card reader used for reading the photograph information in a bulit-in chip of the second-generation ID card and a microprocessor used for comparing whether the facial photograph imagestored in the built-in chip of the second-genration ID card and the facial images acquired by the omni-directional vision sensor are consistent or not, wherein the microprocessor comprises a data module used for reading photograph image in the ID card, a first facial detecting module, a first facial feature extraction module, a panoramicpicture reading module, a second facial detecting module, animage expanding module, a second facial feature extraction module, an identity detecting module for the biological feature of people and the ID card and a decision-layer voting and processing module.The device adopts biometrics identification technology, can greatly improve the efficiency for validating the ID card, and reduce the working strength and error rate of office personnels.

A speaker verification method is proposed that first builds a general model of user utterances using a set of general training speech data. The user also trains the system by providing a training utterance, such as a passphrase or other spoken utterance. Then in a test phase, the user provides a test utterance which includes some background noise as well as a test voice sample. The background noise is used to bring the condition of the training data closer to that of the test voice sample by modifying the training data and a reduced set of the general data, before creating adapted training and general models. Match scores are generated based on the comparison between the adapted models and the test voice sample, with a final match score calculated based on the difference between the match scores. This final match score gives a measure of the degree of matching between the test voice sample and the training utterance and is based on the degree of matching between the speech characteristics from extracted feature vectors that make up the respective speech signals, and is not a direct comparison of the raw signals themselves. Thus, the method can be used to verify a speaker without necessarily requiring the speaker to provide an identical test phrase to the phrase provided in the training sample.

The invention relates to the technical field of image processing, in particular to an image watermark removal device. The image watermark removal device aims to provide a way of solving the technicalproblem that the picture quality of a restored image and face verification accuracy are low. In order to realize the purpose, the image watermark removal device can carry out watermark removal processing on a face image on the basis of a generative adversarial network model, wherein a generator in the generative adversarial network model can generate a corresponding watermark-free image corresponding to the face image, a discriminator can judge whether the integral image and the local image of the watermark-free image are true images or not; and an optimization module optimizes the generator and the discriminator. Furthermore, the device comprises a face recognition model to extract the face feature of a watermark-free original image and the face feature of the watermark-free image generated by the generator, and the generator and the discriminator are further optimized. By use of the technical scheme of the invention, while the high-quality watermark-free image can be obtained, information contained in the image is effectively protected.

In one embodiment, a set of feature vectors can be derived from any biometric data, and then using a deep neural network (“DNN”) on those one-way homomorphic encryptions (i.e., each biometrics' feature vector) can determine matches or execute searches on encrypted data. Each biometrics' feature vector can then be stored and/or used in conjunction with respective classifications, for use in subsequent comparisons without fear of compromising the original biometric data. In various embodiments, the original biometric data is discarded responsive to generating the encrypted values. In another embodiment, the homomorphic encryption enables computations and comparisons on cypher text without decryption. This improves security over conventional approaches. Searching biometrics in the clear on any system, represents a significant security vulnerability. In various examples described herein, only the one-way encrypted biometric data is available on a given device. Various embodiments restrict execution to occur on encrypted biometrics for any matching or searching.

In a verification apparatus, an image pickup unit picks up an image of an object to be verified. A calculation unit calculates, from the captured object image, a characteristic quantity that characterizes a direction of lines within the object image along a first direction or a characteristic quantity that characterizes the object image as a single physical quantity. Then a region from which data are to be acquired is set by referring to a characteristic quantity of the object image and, from this region, a characteristic quantity that characterizes a direction of lines within the object image along a second direction different from the second direction or a characteristic quantity that characterizes the object image as a single physical quantity is calculated. A verification unit at least verifies the characteristic quantity of the object image against that of a reference image along the second direction.

The invention discloses an action recognition based living body face recognition method and system. The method includes steps of collecting a static face image of a user; outputting an action command generated randomly; collecting video information of the user responding to the action command; extracting an image in which the action of the user is matched with the action command in the video information as a dynamic face image; comparing the static face image with the dynamic face image, determining living body face recognition success when the matching degree is greater than a recognition threshold value or else determining living body face recognition failure.

A lens module includes a holder base, which is affixed to a circuit board and has bottom receiving holes for receiving LEDs or sensors on the circuit board and a top flange with a foolproof notch, a lens device press-fitted into the top flange and secured to the foolproof notch to ensure accurate positioning and having flat protrusions engaged into respective through holes in the holder base in alignment with the LEDs or sensors, and a top cover capped on the holder base to hold down the lens device and having through holes that receive convex portions of the lens device respectively.

Embodiments of the invention provide a method to detect pick and place indexing errors on each manufacturing batch (lot) of semiconductor wafer processed during a die attach process using a preselected skeleton of check die. The known locations of the check skeleton die are verified during picking of die from the wafer. If the check skeleton cannot be correctly verified at the known locations, then a pick error is indicated. The embodiments may be implemented on existing die attach equipment.

The invention discloses an electronic device, a firewall operation verification method, and a storage medium. The verification method comprises the following steps: acquiring a source IP address and source port information of a client after receiving a request for acquiring service data sent by the client; traversing firewall white list generated in advance based on the source IP address and the source port information, querying a target IP address and target port information mutually mapped to the source IP address and the source port information in the firewall white list; executing an instruction for verifying the firewall operation by starting the corresponding thread count according to the mutually mapped target IP address and the target port information. The efficiency of verifying whether the firewall is in operation is improved, and the verification accuracy rate is improved.

The invention provides a data synchronization method, a data synchronization device and a data synchronization system for communication systems. The method comprises the following steps of: comparing first static data with second static data to correspondingly obtain a first difference set and a second difference set by taking the first static data of a first communication system and the second static data of a second communication system as references respectively; correspondingly determining data to be synchronized in the second difference set and the data to be synchronized in the first difference set according to a data track in the first communication system and the data track in the second communication system respectively; and correspondingly synchronizing the data to be synchronized in the first difference set and the data to be synchronized in the second difference set to the second communication system and the first communication system. By the method, the device and the system, errors caused by the inaccuracy of reference data are avoided to improve checkout accuracy, and the errors caused by the inaccuracy of single side reference data are simultaneously avoided to further improve the checkout accuracy.

A bill acceptor is constructed to include a housing, the housing having a base for holding a banknote for examination, a first light emitter adapted to emit infrared light onto the banknote carried on the base of the housing for examination, a second light emitter adapted to emit ultraviolet light onto the banknote for visual examination, an image sensor adapted to pick up infrared light reflected from the banknote carried on the base of the housing and to convert received light signal into image signal, and a display adapted to display image signal obtained from the image sensor for verifying the authenticity of the banknote.

The invention provides a dual wireless signal electronic lock and unlocking method thereof. The dual wireless signal electronic lock comprises a first lock and a second lock. The first lock and the second lock are fixedly connected. The first lock comprises a position information module, a safety locking module and an electronic locking module. The position information module is used for obtaining geographic position information of the position and comparing the geographic position information with preset geographic position information, if the geographic position information is matched with the preset geographic position information according to the comparison result, the electronic locking module is controlled to be unlocked, and if the geographic position information is not matched with the preset geographic position information according to the comparison result, data receiving is cut off; the safety locking module is used for verifying that a worker initiating the unlocking operation has the unlocking condition; the electronic locking module is used for locking the first lock. The dual locks are adopted for locking, the safety coefficient is high, the first lock performs unlocking by adopting the geographic position information unlocking mode, on the basis of control of the safety locking module, the safety is high, and damage is not likely to be caused.

The invention relates to a mutation analysis method and device for cell-free DNA (cfDNA) sequencing data. The method comprises the following steps: 1, preprocessing original sequencing data; 2, comparing the sequencing data with a reference standard genome, identifying and eliminating PCR repetitive sequences, and correcting comparison errors of sequences to obtain an accurate sequence comparisonfile; 3, identifying tumor-related somatic cell variation sites, adopting a Sentieon software TNScope tool, setting parameters to ensure that cfDNA variation sites higher than 5/10000 variation abundance can be detected, and obtaining a potential tumor-related somatic cell variation site table; and 4, analyzing and identifying the highly credible low-frequency variation, and finally obtaining an expected positive variation analysis result. The method can achieve ultrahigh mutation sensitivity detection and high verification accuracy.

An infrared banknote acceptor for use to verify the authenticity of banknotes is constructed to include a housing, the housing having a base adapted to hold the banknote to be verified, a light source adapted to emit an infrared light beam onto the banknote carried on the base of the housing for verification, an image pickup adapted to receive infrared light reflected by the ink of the banknote carried on the base of the housing for verification and to convert received infrared light signal into video signal, and a display unit adapted to receive and display the video signal outputted from the image pickup.

The embodiment of the invention provides a no-load cutting-in modeling and experimental method of a double-fed type wind-driven generator. The modeling method comprises the following concrete steps: firstly, establishing a mathematical model for no-load cutting-in control of the double-fed type wind-driven generator; simulating a small-step cutting-in switch element in the double-fed type wind-driven generator by utilizing a valve switch which is controlled by binary control words in a real-time digital simulator (RTDS) of an electric power system; and realizing the simulation control of the double-fed type wind-driven generator from the no-load state to the cutting-in state by controlling the switching-on and the switching-off of the valve switch. The technical scheme of the invention can be implemented to realize the real-time simulation process of the double-fed type wind-driven generator from the no-load state to the cutting-in state, and the simulation model is used for carrying out the no-load cutting-in experiment on a variable-flow controller system of a practical double-fed type wind-driven generator, thereby providing real and accurate simulation environment and improving the verifying accuracy.