69 results about "Iris recognition" patented technology

The invention relates to the technical field of biological recognition, and discloses a construction site access control face recognition management system based on dynamic identity verification. Comprising a multi-mode biological recognition module, an intelligent switching mechanism, a self-adaptive image acquisition device, a feature dynamic updating module and an integrated control system. According to the system, face recognition and iris recognition are combined, a recognition mode is dynamically adjusted in combination with environment monitoring data (such as illumination intensity and dust concentration), the problem that traditional face recognition is low in recognition accuracy in a complex construction site environment is solved, and the recognition precision is ensured through an intelligent switching mechanism under the conditions of low illumination and high dust concentration. Through feature dynamic updating of the deep learning algorithm, the system can optimize the recognition model according to new features collected in real time, the long-term stable recognition performance is ensured, and the problem of precision reduction caused by a static model is avoided. And the exposure time, the gain and the camera cleaning mechanism are automatically adjusted, so that the image acquisition always keeps high quality in various construction site environments.

The invention discloses an intelligent management and control system and method for AI glasses, and the system comprises an environment sensing layer which integrates a millimeter-wave radar, an infrared sensor and a UWB positioning module, and senses the information of the environment where the AI glasses are located; the biological characteristic layer is used for authenticating the identity of the user by adopting an iris recognition and gait analysis composite authentication mode; the strategy engine layer comprises a dynamic permission matrix, a compliance rule base and a risk prediction model, and formulates and executes a corresponding control strategy according to environment perception information and a biological characteristic authentication result; the data protection layer is composed of a trusted execution environment and a federated learning framework and is used for guaranteeing the data security in the AI glasses system; and the man-machine interaction layer is provided with a tactile feedback and bone conduction alarm device, interacts with a user and provides alarm information. Through cooperative work of the layers, comprehensive, intelligent and safe management and control of the AI glasses are realized, so that the AI glasses can stably operate in various complex environments, and more reliable services are provided for users.

The utility model belongs to the technical field of sanitary equipment, and particularly relates to a medical care sanitary hand disinfection monitoring system. Comprising a shell, a liquid outlet formed in the shell, a tray arranged below the liquid outlet and movably connected with the shell, and an iris recognition assembly arranged in the shell, and a replaceable bottle body is arranged in the shell. The iris recognition assembly is arranged on the shell, so that the corresponding medical personnel can be accurately recognized, and the hand disinfection frequency and the specific hand disinfection time of the medical personnel on the current day and on duty can be recorded. Therefore, the health administrative department of the hospital can control the hand hygiene condition of medical staff in the hospital. And the replaceable bottle body is also arranged in the shell, so that compared with the prior art, the bottle is more sterile and sanitary. And residual liquid at the liquid outlet drops into the tray, so that the ground is prevented from being slippery due to the residual liquid. Compared with the prior art, the tray can collect residual liquid, and ground pollution is effectively avoided.

The invention discloses a highly convenient and safe palm lock, which comprises a lock body, a palm print acquisition module, a palm vein acquisition module, an iris recognition module, a control unit and a mechanical execution unit, and is characterized in that the palm print acquisition module is used for acquiring palm surface texture features and comprises an optical imaging unit and an infrared light supplement lamp; the palm vein acquisition module is used for acquiring vein blood vessel distribution characteristics in a palm and comprises a near-infrared light source and an infrared sensor; the iris recognition module is used for obtaining human eye iris texture features. Therefore, single-feature quick unlocking (convenience) and multi-feature combined verification (high safety) are supported, a user can dynamically configure a verification mode through a mobile phone APP to adapt to different scene requirements (such as household daily palmprint and office palmprint + iris), the three biological features are independently collected, the forging difficulty is high, the combined verification safety is high, and the verification efficiency is high. The palm fitting area is designed to be arc-shaped and aligned with the camera, and the identification time is less than or equal to 2 seconds.

The invention provides an unmanned cargo automatic handover system based on multi-mode biological recognition. The unmanned cargo automatic handover system comprises a biological recognition device, an identity verification module, a cargo handover control device and a cloud management platform. The biological recognition device integrates a fingerprint recognition module, a face recognition module and an iris recognition module, and high-accuracy identity recognition is ensured by using advanced sensors and algorithms. The identity verification module guarantees the safety of the verification process through real-time comparison and multi-factor verification in combination with dynamic database management. The cargo handover control device automatically controls unlocking and locking of a cargo cabin door, and records, encrypts and stores all handover operation data at the same time. According to the technical scheme, high safety and high efficiency of cargo handover of the logistics vehicle are achieved, the method is suitable for being widely applied to the modern logistics field, the safety and accuracy of the logistics vehicle in the cargo handover process are improved, and automation and traceability of operation are achieved.

The utility model discloses a mobile electronic commerce transaction terminal which comprises a machine body, a display screen is fixedly installed on the front side of the machine body, and an iris recognition module is installed on the front side of the machine body and located above the display screen. Through mutual cooperation of the machine body, the display screen, the iris recognition module, the control button, the card reader, the moving wheels, the protection plate, the concave block, the sliding column, the sliding block, the stud, the grip and the clamping groove, when the display screen is not used, the display screen can be protected, so that the display screen is not prone to being damaged due to collision of foreign objects, practicability is high, and popularization is worthy.

The invention discloses a Cr < 3 + > ion activated oxyfluoride near-infrared luminescent material, a preparation method thereof and an LED device. The chemical formula of the luminescent material is AmEnMtSi8O22F2: xCr < 3 + >, A, E and M are monovalent, divalent and trivalent metal elements, Cr < 3 + > is a luminescent central ion, m, n and t are the number of atoms under the valence balancing of the chemical formula, and x is larger than or equal to 0.01 at.% and smaller than or equal to 30 at.%. The luminescent material can be effectively excited in a range of 300 to 800 nm, and can emit near-infrared light with a wavelength of 650 to 1300 nm. The luminescent material can be synthesized by a solid phase method, and the preparation process is simple, environment-friendly and low in cost. An LED device obtained by packaging the luminescent material and a blue light chip can be used as a near-infrared light source in the fields of analysis and detection, iris recognition, automobile sensing, security and protection and the like.

The utility model relates to the technical field of entrance guard iris recognition installation, and discloses an entrance guard iris recognition lifting adjusting installation frame which comprises a fixed long plate, an installation shell and a movable frame used for fixing an iris recognition camera, the installation shell is installed on the surface of the fixed long plate, a driving plate is arranged in the installation shell, and the driving plate is connected with the movable frame. And guide assemblies are symmetrically arranged on the driving plate, the guide assemblies are installed on the surface of a fixed long plate, a driving assembly is installed on the fixed long plate, and a connecting frame is connected to the surface of the driving plate. According to the lifting adjusting mounting frame for entrance guard iris recognition, through the arrangement of the fixed long plate, the movable frame, the driving plate and the driving assembly, the fixed long plate can be installed on a door or a door frame or a wall beside the door frame to fix a device, and the driving assembly drives the driving plate to move through the connecting frame; the driving plate drives the moving frame to move so as to adjust the position of the iris recognition camera to adapt to people of different heights.

The invention relates to the technical field of biological feature recognition, in particular to a binocular iris recognition system and method based on left and right eye independent feature libraries. On the feature library architecture level, the system establishes completely independent feature databases for the left eye and the right eye respectively. The left eye feature library is specially used for storing left eye iris feature vectors and corresponding personnel identifiers of all registered users, and the right eye feature library is used for storing right eye iris feature vectors and personnel identifiers. The two feature libraries are completely separated from each other in physical storage and logic index and do not interfere with each other. When the system receives a to-be-recognized image from the left eye, only the left eye feature library needs to be searched, and the right eye feature library does not need to be traversed, so that the search space is reduced by about half. According to the method, the characteristics of independence and complementarity of iris textures of two eyes are fully utilized, and the retrieval efficiency and the anti-counterfeiting capability of the system are remarkably improved while the recognition precision is kept.

The invention relates to a device (100) for iris recognition when a person passes, comprising a first iris camera (10) having a first field of view (11) and a fixed first focal plane (12), at least one second iris camera (20) having a second field of view (21) and a fixed second focal plane (22), a scene camera (30) having a third field of view (31), and a control unit (50). The first iris camera (10) and the second iris camera (20) are adjustable in height. The first iris camera (10), the second iris camera (20) and the scene camera (30) are all connected with the control unit (50). The control unit (50) is configured to acquire an image of a to-be-identified person (80) outside a combined acquisition area of the first iris camera (10) and the second iris camera (20) through the scene camera (30), determine a height (82) of an eye circumference area (81) of the to-be-identified person (80) based on the image acquired by the scene camera (30), and identify the to-be-identified person (80) according to the height (82) of the eye circumference area (81) of the to-be-identified person (80). And adjusting the heights of the first iris camera (10) and the second iris camera (20) according to the determined height (82) of the periorbital region (81), so that the first iris camera (10) and the second iris camera (20) can acquire the periorbital region (81), and the first iris camera (10) and the second iris camera (20) are used to acquire the periorbital region (81). And determining the identity of the person (80) to be recognized on the basis of the acquired periocular region (81).

The invention relates to the technical field of multi-mode biological recognition unlocking, in particular to a multi-mode biological recognition unlocking device and unlocking method for a mine wellhead locker, the multi-mode biological recognition unlocking device comprises a locker, a plurality of locker doors are mounted at the front end of the locker through hinges and locks, and a multi-mode lock is mounted on one side of the front end of the locker; the multi-mode lock comprises a recognition unit, damping blocks are fixedly connected to the lower ends of the two sides of the recognition unit, a rotating shaft is rotationally connected to the inner side of the upper end of the recognition unit through a clockwork spring, and the positions, exposed out of the outer side of the recognition unit, of the two ends of the rotating shaft are fixedly connected with the cover plate. According to the iris recognition device, the cleaning cotton can be driven to move at the front end of the iris recognition device, meanwhile, in the moving process, the cleaning cotton can rotate, the cleaning effect is further improved, in the cleaning process, gas is continuously blown out from the interior of the cleaning cotton, dust can be effectively prevented from being clamped in the cleaning position, and the cleaning effect is improved. And the surface of the iris recognizer is scratched.

The invention belongs to the technical field of biological feature recognition, and discloses an ultra-micro-distance iris recognition device and method based on an optical imaging technology, the device comprises an optical imaging unit, a near-infrared light source unit, a trigger detection unit, a control processing unit and a protection unit, and the method comprises the following steps: S1, triggering; s2, image acquisition; s3, performing pretreatment; s4, feature extraction; s5, matching verification is carried out; s6, controlling; the method has the following beneficial effects: 1, the limitation of ultra-micro-distance imaging is broken through, the image quality is improved, aberration-free imaging can be realized under the working distance of 5cm, and iris texture details are clearly captured; 2, an efficient focusing and triggering mechanism is adopted, so that the recognition efficiency is improved, and'touch-and-shoot 'is realized; the robustness is high, the influence caused by the shielding problem of lower eyelashes and eyelids is avoided, dust and noise are removed, and the contrast ratio is enhanced. And 4, the size of the shell is small, a portable instrument can be directly embedded, and the explosion-proof, waterproof and dustproof requirements are met.

The invention discloses an intelligent property access control system which comprises a multi-mode biological recognition module, an environment sensing module, a data processing module, a data storage module and a data management module, and the multi-mode biological recognition module is integrated with a camera module, a fingerprint module and an iris module. Biological information is recognized through the data processing module, high-precision recognition in a sheltered scene is achieved, the iris recognition mode is automatically switched to when the face is sheltered, a weighted fusion strategy is adopted, the recognition passing rate is effectively increased, meanwhile, details of a sheltered part are automatically generated in cooperation with a sheltered object detection algorithm, and the recognition efficiency is improved. A dual-identification guarantee mechanism is realized, the identification accuracy under the shielding scene is further improved, and the reliability of the access control system is ensured.

This invention relates to the field of intelligent management technology for cleanroom garments, specifically an intelligent management system for cleanroom garments equipped with iris recognition technology. The system divides the work area into sub-areas based on cleanliness levels, establishes iris access control systems between these sub-areas, and monitors environmental parameters of each sub-area using sensors. It tracks workers wearing cleanroom garments in real time, obtaining work trajectory data and work status data. Based on the work trajectory data, it obtains trajectory environmental parameters; by identifying these parameters and data, it obtains external contamination data; by identifying the work status data, it obtains internal contamination data; and based on the external and internal contamination data, it determines the contamination level of the worker's cleanroom garment. This invention achieves intelligent management of cleanroom garments by identifying contamination data from the worker's cleanroom garments, adjusting iris access permissions based on cleanliness and contamination levels, and adjusting the activity range based on iris access permissions and the iris access control system.

The present invention provides an eye-controlled intelligent integrated measurement and control device and its eye-control method. The device includes a protection unit host; a camera unit for photographing the eyes to obtain eye image information; an iris recognition system for extracting iris features from the received eye image information to generate iris information and store it in an iris system database; the iris recognition system is further configured to perform security verification on the received eye image information and output a verification result; and an eye control unit, based on the received verification result, generates position information that is fed back to the protection unit host, which then executes the eye-control operation. The application of the present invention can resolve safety hazards and other issues in the prior art caused by touch or electrostatic misoperation. Without requiring contact with the product, the risk of accidental device contact can be effectively reduced, thereby improving the product's market competitiveness.

The application provides a crack identification method based on an iris recognition principle, which comprises the following steps: step 1, inputting a three-dimensional seismic data body; step 2, carrying out seismic data fracture enhancement pretreatment based on an iris recognition related algorithm; step 3, carrying out seismic crack feature point analysis based on iris recognition related parameters; step 4, carrying out seismic crack feature extraction and coding based on an iris recognition algorithm; and step 5, carrying out predicted seismic crack and prior crack feature matching based on iris recognition, and completing the calculation when the matching relationship reaches a correlation threshold requirement. The crack identification method based on the iris recognition principle has the detail recognition advantage of the iris recognition technology, has strong sensitivity to micro crack identification, and has stability and uniqueness of the result of crack prediction through iris feature extraction and matching.

This invention relates to an intelligent OCT system based on dual-color LEDs, comprising: a three-pin common-anode dual-color LED for emitting yellow light and near-infrared light to the eyeball to be detected; an eyeball position recognition camera for receiving light signals emitted by the three-pin common-anode dual-color LED and reflected along the signal arm and reference arm respectively, converting the light signals into an image, and determining the eyeball position based on the imaging position of the image; an iris imaging optical path module for splitting the light beam emitted by the three-pin common-anode dual-color LED, converting the light signals emitted by the three-pin common-anode dual-color LED and reflected along the signal arm and reference arm respectively into optical images, and transmitting the optical images to an iris recognition CCD to form a layer to be processed; the iris recognition CCD for receiving the optical images transmitted by the iris imaging optical path module, converting the optical images into digital images, and transmitting them to the host computer.

The invention belongs to the technical field of biological feature recognition, embedded system security and computer bus interfaces, and particularly relates to a hot plug guarantee method and device for an iris recognition M.2 / mini-PCIe module. A security power domain comprises a session key memory, a security element chip and a key state holding circuit, and a processor power domain (Vcore) comprises a main controller and an image interface. The safe power domain (Vsec) comprises a ferroelectric random access memory (FRAM) and a static random access memory (SRAM); and when the system detects that the PERST # signal jumps from a high level to a low level, cutting off the power supply of the safety power supply domain (Vsec), and triggering a safety sealing process. According to the invention, through organic combination of a dual-power-domain architecture design, an ultra-fast data storage mechanism, a self-adaptive security protection strategy and a distributed data integrity verification system, the technical problem of an iris recognition module in a hot plug scene is solved.

The application relates to an FPGA-based neural network accelerator and application thereof, which comprises a controller, a data input cache unit, a weight input cache unit, an operation unit and an output cache unit; the controller controls the cycle boundary and convolution step length of the neural network accelerator to match the layer structure of a quantized residual neural network; the data input cache unit splits and stores input data; the weight input cache unit splits and stores the weight of the quantized residual neural network; the operation unit performs convolution operation on the input data and weight data; and the output cache unit stores the output result and transmits the output result to a PS end through AXI4 bus burst transmission. The application realizes a method for applying a convolutional neural network to iris recognition, greatly improves the recognition success rate compared with a traditional algorithm, accelerates the inference process, and makes up for the shortcoming that the recognition method is not suitable for mobile deployment.

The invention relates to the technical field of automatic instrument management, in particular to an AI-based calibration charging distribution management system. The system comprises an intelligent cabinet body integrated with a plurality of charging and calibration integrated equipment bases, an iris recognition module used for identity authentication, a gas path system and a ventilation and exhaust system linked with an environment sensor in the cabinet. The management platform of the system can realize the whole process management of receiving an instrument through iris recognition by a user, randomly returning the instrument after use, automatically charging and carrying out Bluetooth fault diagnosis by the system, and automatically executing gas calibration in an unattended state according to a preset period. Through an integrated safety interlocking mechanism, gas leakage in the cabinet can be monitored in real time in the automatic calibration process, emergency responses such as gas source cut-off, forced exhaust and equipment power failure are automatically triggered, and the operation safety is greatly improved. According to the invention, automation and security of instrument management are realized, and the equipment perfectness rate and management compliance are improved.

The utility model relates to the related technical field of iris recognition, and discloses an iris acquisition module which comprises a fixing frame and a driving mechanism, a supporting frame is installed on one side of the surface of the fixing frame, an anti-theft fixing hole is formed in one side of the surface of the fixing frame, and installation fixing holes are formed in the two ends of the fixing frame. A collecting mechanism is arranged on one side of the surface of the supporting frame, and a driving mechanism is arranged on one side of the surface of the fixing frame. According to the iris acquisition module, through the arrangement of the motor, the limiting stopper, the connecting piece, the transmission piece, the rotating shaft and the bearing, when the iris acquisition module is used, the motor works to drive the transmission piece to rotate, the bearing sleeves the surface of the rotating shaft and is installed in the connecting piece, the motor is installed on the surface of the fixing frame, and the transmission piece is installed on the surface of the supporting frame; the motor drives the transmission part to rotate so as to drive the collection mechanism to rotate, and the limiter can control the rotation range of the motor. According to the iris acquisition module, the iris acquisition efficiency is improved, and the service life of equipment is prolonged.

This invention relates to the field of optics, specifically to a biometric iris recognition lens. The biometric iris recognition lens comprises a first fixed lens group with positive optical power, a zoom lens group with negative optical power, an aperture stop, a second fixed lens group with positive optical power, a focusing lens group with negative optical power, and a third fixed lens group with positive optical power; 4 < ft / fw < 5; 1.15 < fnot / fnow < 1.25; ft is the focal length of the biometric iris recognition lens in telephoto mode, fw is the focal length of the biometric iris recognition lens in wide-angle mode, fnot is the aperture number of the biometric iris recognition lens in telephoto mode, and fnow is the aperture number of the biometric iris recognition lens in wide-angle mode. The biometric iris recognition lens can stably acquire images with stable brightness at a certain distance, facilitating iris acquisition and increasing the application range of the biometric iris recognition lens.

An iris recognition apparatus is provided with: an irradiating device that is capable of irradiating light to a target person to be recognized; an acquiring device that acquires a first image which imaged a first imaging range including at least a face of the target person; and a determining device that determines an irradiation mode of light irradiated from the irradiating device to the target person when imaging a second image including an area, which includes an eye of the target person, and corresponding to a second imaging range, which is narrower than the first imaging range, based on the first image.

The utility model discloses a mining underground positioning alarm device, which relates to the technical field of mining safety equipment, and comprises an overground control center and an underground mine, a plurality of card readers are arranged in the underground mine, the plurality of card readers are electrically connected with a transmission cable, and one end, far away from the card readers, of the transmission cable is connected with the overground control center; according to the utility model, a worker is provided with the identification card, the identification card is matched with the iris identification uniqueness identification device on the card reader, and the rule violation information of the worker is positioned and displayed in real time through the overground control center, so that the on-site border-crossing track can be restored, and the management efficiency is improved; the system can receive a call command issued by an overground control center, and simultaneously remind workers through acousto-optic and vibration, in addition, the card reader can also detect the number of people entering and exiting the same area, and when the number of people in a certain area exceeds the number of people capable of working simultaneously, automatic acousto-optic alarm can be realized, so that the workers can be effectively prevented from continuously entering.

The invention relates to the technical field of clean clothes intelligent management, in particular to a clean clothes intelligent management system with an iris recognition technology. The working area is divided according to the cleaning level to obtain working sub-areas, an iris access control system is arranged between the working sub-areas, and environmental parameters of the sub-areas are obtained through monitoring of a sensor; a worker wearing the clean clothes is tracked in real time, and working track data and working state data are obtained; obtaining track environment parameters according to the working track data, and identifying the track environment parameters and the working track data to obtain external pollution data; identifying the working state data to obtain internal pollution data; according to the external pollution data and the internal pollution data, the pollution level of the clean clothes of the staff is obtained. According to the invention, the pollution level is obtained by identifying the pollution data of the clean clothes of the worker; the iris permission is adjusted according to the cleaning level and the pollution level, the activity range is adjusted according to the iris permission and the iris access control system, and intelligent management of the clean clothes is achieved.

The utility model discloses an iris recognition lens, which relates to the technical field of optical lens imaging and comprises an imaging lens which comprises a first lens, a first lens group, a diaphragm, a second lens group, a second lens, a third lens and a fourth lens which are sequentially arranged along an optical axis from an object side to an image side. The second lens group comprises a fifth lens, a double-liquid lens and a sixth lens, the first lens and the second lens have positive focal power, the third lens has negative focal power, the focal power of the fourth lens is zero, and the ratio of the focal power of the first lens group to the focal power of the imaging lens is smaller than or equal to-0.0716. The ratio of the focal power of the second lens group to the focal power of the imaging lens is larger than or equal to 0.315. The iris recognition lens of the utility model has high relative illumination, and can improve the adaptability and imaging quality of a system; the zoom lens can give consideration to parameters such as resolution and depth of field, and is wide in working range.

1. The name of the design product: intelligent iris recognition instrument. 2. The use of the design product: used for collecting iris to complete the confirmation of identity information. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: perspective view 1.

The application discloses a kind of safe iris identification method, system, equipment and storage medium, including receiving user ID from authentication server, user iris feature data ciphertext, database's iris feature ciphertext and special library key index, according to special library key index, key matching is generated corresponding symmetric key, according to symmetric key decryption database's iris feature ciphertext, obtain the iris feature plaintext of database, according to user ID, key matching is obtained with user private key corresponding user public key, according to user public key decryption user iris feature data ciphertext, obtain the iris feature data plaintext of user, compare user iris feature data plaintext with the iris feature plaintext of database, obtain iris recognition result, by only in iris feature data comparison time data decryption reduces the risk of information leakage in the use process of iris recognition, improves the security of privacy data.

The invention relates to the technical field of image processing and biological recognition, in particular to an iris segmentation technology in iris recognition, and particularly relates to a high-precision iris segmentation method based on an improved UNet model. The method comprises the steps of 1, collecting a multi-source iris data set; step 2, constructing an improved UNet model; step 3, when model training is carried out, carrying out balance sampling on a plurality of data sets by adopting a Weighted RandomSampler; and step 4, when iris segmentation reasoning is carried out, loading the trained model and the like. According to the invention, the iris boundary segmentation precision can be obviously improved, and high-precision segmentation is realized.

There is provided a computer implemented method of detecting an attempt to breach security of an iris recognition system by an artificial iris, comprising: analyzing at least a portion of a limbal ring depicted in an image of an iris of an individual captured by an imaging sensor at a wavelength range within at least one of near infrared (NIR) and short wave infrared (SWIR), and detecting likelihood of an artificial iris worn by the individual according to the analysis of the at least the portion of the limbal ring.