50 results about "Iris recognition" patented technology

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 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.

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.

The invention belongs to the technical field of biological feature recognition, and particularly relates to a composite scaling method and an iris recognition system and method of a neural network of the composite scaling method. The method comprises the following steps of: establishing a mathematical constraint relationship of three dimensions of depth, width and resolution, simultaneously adjusting the three dimensions of depth, width and resolution of the network by a composite coefficient phi, and scaling the depth into a product of phi power of alpha and basic depth; the width is scaled to be the product of phi power of beta and the basic width; the resolution ratio is scaled to the product of the phi power of gamma and the basic resolution ratio, the network scale can be systematically adjusted by using a single composite coefficient, higher recognition precision can be obtained under the same calculation budget, or the calculation overhead can be obviously reduced under the same precision requirement.

1. The name of the design product: iris recognition instrument (AI2000). 2. The use of the design product: iris recognition, face recognition and card authentication for identity recognition and authentication. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: perspective view.

The invention provides a dynamic permission allocation method and system based on iris recognition and real-time state monitoring, and relates to the technical field of information system security, and the method comprises the steps: firstly collecting an iris texture image containing details such as eye iris sphincter contraction form and real-time state monitoring data containing information such as physical space coordinates; performing feature anchoring processing on the two to generate associated feature bodies which synchronously establish bidirectional mapping through timestamps, calling a historical permission interaction database to mine scene matching association, generating an adaptation rule pool, obtaining an initial permission scheme through matching of the associated feature bodies, tracking operation behavior data, and obtaining an initial permission scheme; the method comprises the steps of analyzing the degree of adaptation, feeding back and optimizing an adaptation rule pool, dynamically adjusting a permission range to generate a dynamic permission result, finally synchronizing the dynamic permission result to a permission management and control node and an associated operation terminal, executing a permission instruction and recording a permission change track to form a traceable data chain, thereby improving the security, flexibility and accuracy of permission distribution.

The utility model discloses a U shield intelligent cabinet, which comprises a cabinet body, a control host, a fingerprint identification head, an iris identification camera and a plurality of electromagnetic locks, the cabinet body is provided with a plurality of grids with the same size and shape, each grid is independently and rotatably provided with a cabinet door, each cabinet door is provided with the electromagnetic lock, and the fingerprint identification head is connected with the iris identification camera. The control host is arranged in the cabinet body, the fingerprint recognition head and the iris recognition camera are both arranged on the cabinet body, the fingerprint recognition head, the iris recognition camera and the electromagnetic lock are all electrically connected with the control host, a sinking groove is formed in each grid opening, and a patch type pressure sensor is arranged at the bottom of each sinking groove. The USB key cabinet has the following beneficial effects that each USB key is independently stored and taken, and whether the USB key is taken or not is monitored.

The invention provides an optical system and a display device. The optical system comprises a lens structure, a transflective film and a reflective polarizing film, the transflective film and the reflective polarizing film are arranged on the lens structure, image light transmitted by the transflective film is configured to be folded back between the transflective film and the reflective polarizing film and is emitted from the reflective polarizing film, and the lens structure comprises at least one lens. The optical system further comprises a calibration lens located on the side, away from the reflective polarizing film, of the transflective film, and the optical axis of the lens structure does not pass through the calibration lens. The focal length of one of the lens structure and the calibration lens is a positive value, the focal length of the other one is a negative value, and the calibration lens comprises at least one free-form surface, so that the degree of freedom of optical system design is improved, non-centrality caused by the lens structure is effectively corrected, aberration generated by an off-axis optical system is corrected, and the imaging quality is improved; the camera calibration process is simplified, and the sight tracking and iris recognition precision is improved.

1. Name of the product in this design: Testing Instrument. 2. Purpose of this design: For collecting iris and pupil information, iris recognition, and detection of the inspected person. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

A device having a fingerprint reader and a first heart rate monitor which are co-located such that a person's heart rate is obtained at the same time as this fingerprint. The device is integral to yet another heart rate monitor for monitoring the performance of the person in exercise. The readings of the other heart rate monitor correlates to the readings of the first heart rate monitor if the person whose fingerprint is read is the same person wearing the second heart rate monitor, in which case the fingerprint is deemed acceptable for identifying the person. Other biometric identification besides fingerprint can be used such as iris recognition.