520 results about "Animal identification" patented technology

Technologies are presented herein in support of a system and method for performing iris identification and verification using mobile devices. Embodiments of the present invention concern a method for authenticating a user with a mobile device that includes steps for capturing imagery of a user's face, analyzing the imagery to identify the portion of the image depicting the user's eyes and segmenting the eye image to isolate the iris image data and encoding the iris image data in iris template. The present disclosure further describes authenticating the user based on the encoded iris template and additional techniques for preventing erroneous authentication caused by spoofing. In some examples, the anti-spoofing techniques may include capturing one or more images of a user's eyes and analyzing the captured images for indications of liveness based on reflection characteristics depicted in the imagery.

The methods and systems disclosed enable the association of data with individuals, organizations, places, objects, things with information, or a rating or score. Computer vision is used to identify the subject or capture an image of the subject's face. A portable computing device, such as a wearable computer, may include the cameras, microphones, to capture the image and communicate with a remote server or data sources. Facial data is sent to the remote server processing facial recognition processing to match the facial data with an identity. Upon determining a match, information about the matching identity is transmitted to the user of the portable computing device. The information about the subject may be the identity, or business or social information, or interests and hobbies. A score may be assigned to the subject that rates one or more aspects of the subject.

A highly automated method and system for providing individual animal electronic identification, measurement and value based management of cattle in a large cattle feedlot. Through the use of (1) a computer system integrated with (2) automatic individual animal identification (3) multiple measurement and remeasurement systems with automatic data input and (4) a cattle handling and sorting system, animals are individually (a) identified and (b) measured by weight, external dimensions and characteristics of internal body tissue. With this information together with animal physiological characteristics and historical data, the computer system calculates the optimum (c) slaughter weight, (d) economic end point and (e) marketing date for shipment to a packing plant. After measurement, individual animals are (f) sorted by direction of the computer in response to calculations from the measurements. The computer system also calculates from individual animal data and other data (g) each animal's pro rata share of total feed intake for the animal's feed group. The computer system (h) stores individual animal measurement, performance and location data, which is used by management to (i) select animals for shipment from the feedlot for slaughter at the optimum time. Following an animal's shipment to a slaughter facility, its identification in the computer system is used to (j) correlate the live animal physical characteristics and performance data to the measured and evaluated carcass characteristics data obtained during the slaughter process and (k) build a data base to more accurately identify and measure value-based characteristics in subsequent animals produced and fed for more effective value-based selection and management of those animals.

The present invention relates to a system for the intensive management of animals, the system comprising: animal identification means for identifying individual animals; at least one device for measuring one or more parameters of individual animals; a processor for processing measurements obtained for the one or more parameters, wherein the processed parameter data is used to determine management strategies for individual animals in real-time; and means for implementing management strategies for the animals.

The invention provides an improved storage area network (SAN) of the type having a digital data processor, e.g., a host, in communication with one or more storage devices, e.g., a LUN and, further, of the type having a plug-and-play (PNP) manager that generates an event in response to a change in status of at least one of the storage devices. The improvement is characterized by at least a selected process, that executes on the host (or other digital data processor) and that references at least a selected one of the storage devices using a previously assigned logical identification, e.g., a LUN ID. The improvement is further characterized by the selected process responding to an event generated by the plug-and-play by querying for information the storage device (or an interface thereto) with respect to which the event was generated. From that information, the process generates a logical identification for the device.

The invention discloses an intelligent control system of building safety, comprising a building and floor entry management system, an entrance guard performing system, a personnel tracking system and an elevator operation system, wherein the building and floor entry management system is composed of an information collection system, a data processing and analyzing system, a database information storage system and an information storage and sending system. The intelligent control system adopts RFID identity identification and human face image identification, each floor entry management system adopts the RFID identity identification, and finger identification or iris identification are added in more important occasions so as to greatly improve security level. The personnel tracking system realizes the automatic monitoring and data backup of the activities of personnel in the whole building, can inquire the situation of the activities of personnel of the whole building at any time interval at all times. The elevator operation system operates according to the permission of each electronic tag to further realize the safety control of the building. The control system and method are suitable for important and confidential units, such as military areas of importance, national security agencies, financial systems and the like and are especially suitable for occasions with high security level requirements.

Methods and apparatuses that identify one of a plurality of modes from a web page associated with a document received at a browser are described. An identified mode may correspond to a user interface configuration. A portion of content may be extracted from the document for a presentation configured by the user interface configuration. A presentation of the extracted content may be displayed on a display screen while excluding a reset of the document without displaying the web page.

The present invention relates to a computer-based system for generating a risk register relating to a named entity. The system comprises a computing device, a risk database accessible by the computing device and having stored therein a set of risk types based on an induced taxonomy of risk types previously derived at least in part upon operation of a machine learning module, an input adapted to receive a set of source data, the set of source data being in electronic form and representing textual content comprising potential risk phrases, a entity-risk relation classifier adapted to identify and extract entity-risk relations from the set of source data, a risk tagger adapted to identify in the set of source data a set of risk candidates (ri) based on the set of risk types, a entity tagger adapted to identify mentions of entity names (ci) in the set of source data, and a risk register aggregator adapted to generate a first risk register based on the set of tuples associated with a first entity.

The invention relates to an automatic license plate identification system at an urban checkpoint, which belongs to the field of monitoring and comprises a coil assembly, a vehicle detection module, a license plate identification module, a front-end module and a network transmission module, wherein the coil assembly is connected to the vehicle detection module, and coils generate a pulse signal when a vehicle passes through the urban checkpoint; the vehicle detection module detects the coils and transmits the received pulse signal to the license plate identification module; the license plate identification module captures a video image transmitted by the front-end module when the license plate identification module receives the pulse signal, finishes the entire video image processing process of the identification of a license plate, and uploads a processing result by a network; the front-end module carries out synchronous exposure, synchronous supplemental lighting and shooting on a camera under the control of a vehicle identification module and transmits the video image to the license plate identification module; and the network transmission module uploads the data of the license plate and the vehicle to a data centre. The system integrates most of the functions in the candid identification of the license plate at the checkpoint by adopting integrated design, reduces the system maintenance difficulty caused by the complexity of the system greatly, enhances the entire stability and reliability of the system, and lowers the maintenance cost of the system.

An assembly and method of identifying and visually associating individuals and medical equipment includes a computing device having a software algorithm that determines a unique combination of one or more human cognitive identifiers to avoid confusion and displays the determined selection on an electronic skin located on the individual or medical equipment so that identities and associations amongst individuals and equipment can be understood readily.

A thin and flexible radio frequency (RF) antenna tag or label is disclosed which contains an RF circuit connected to an antenna which is created by demetallizing the area around the antenna pattern on a thin, metallized substrate such as a film or paper web. Antenna(s) may be formed on one or both sides of the substrate and can contain printed, holographic, optical variable device, diffractive, dot matrix, computer-generated holograms or computer-generated optical images. The demetallized RF antenna on the substrate can optionally further be transferred to a second substrate or web by means of a cold foil stamping process. The tag or label is thin and flexible, enabling a wide range of applications including RF tagging of anti-theft devices, product packaging of all types, credit cards, passports, admission tickets, stamps, vehicles, badges, fare cards, roadway tolls, customs and immigration checkpoints identification, and animal identification / tracking devices.

The present invention provides devices and methods for tracking animals. More particularly, embodiments of the present invention provide a method of tracking an animal that includes assigning an animal identification to a first animal, collecting a biological sample from the first animal and associating the first animal with each premises at which the first animal is located. The invention further provides an identification device that includes a tag portion and a sample portion. The tag portion can be configured to be attached to animal in any method known in the art. The sample portion can be detachably coupled to the tag portion and can include a biological collector that can collect a biological sample from the animal.

A method, system, and computer program product for using biometrics on pervasive devices for purposes of mobile identification. A biometric device of the prior art is attached to, or incorporated within, a pervasive device. This augmented pervasive device may then be used for capturing biometric information from an arbitrary third party in an arbitrary location. The captured information is analyzed to determine the third party's identification, access rights, etc. as needed by a particular application. This solution capitalizes on the portability and functionality of the pervasive device, as well as its built-in communication capability, to provide an extremely flexible, powerful biometric identification technique at relatively low cost.

The invention discloses a freestyle restaurant self-service payment device based on image identification and an application method of the device. The freestyle restaurant self-service payment device based on image identification comprises a self-service payment settlement device which comprises an image acquisition device, a computer with a touch screen, a main support, a base, a placing window and an IC (Integrated Circuit) payment unit. The image acquisition device comprises an annular LED (Light-Emitting Diode) lamp, a camera and a camera holder; the camera is arranged directly above the base by use of the camera holder and connected with the computer. The placing window is further provided with a pressure sensor which is communicated with the computer. The full-automatic self-service payment system is adopted by the freestyle restaurant self-service payment device based on image identification, so that the efficiency of charging is improved and the cost of an enterprise is also reduced; an optoelectronic system is adopted so that the anti-interference performance of the device is high and the cost of the device is low.

In one aspect, the present invention provides a housing system for conducting high throughput animal experiments. The housing system includes a home cage, at least one rotatable turnstile enclosed by housing to form two or more isolation chambers, a means for animal identification, and one or more action stations functionally coupled to one or more isolation chambers. The turnstile includes a plurality of one or more separation members rotatable about a vertical axis, each isolation chamber bounded by one or more separation members. The action stations contain one or more devices facilitating completion of at least one animal-directed or experimentor-initiated action. In a preferred embodiment, the home cage is sufficiently sized to house a plurality of small animals, such as mice. Tunnel passageways may be connected to the home cage, including one or more tunnel passageways containing a rotatable turnstile. Additional embodiments include rotatable turnstiles, rotatable turnstile assemblies, and methods of conducting high throughput animal experiments using the devices and systems described herein.

There are provided systems and methods for user interface and identification in a medical device. More specifically, in one embodiment, there is provided a method for accessing a medical device, the method comprising detecting an identification tag, reading identification information from the identification tag, determining if a person corresponding to the identification information has been approved to access the medical device, and if the person has been approved, granting access to the medical device.

The invention provides a skin laser treatment auxiliary robot and an auxiliary method thereof. The skin laser treatment auxiliary robot comprises an accurate positioning mobile robot, a therapeutic instrument laser probe, a visual identification and control system, a range finding device and a safety device. The therapeutic instrument laser probe is installed at the front end of the tail position of the mechanical arm of the accurate positioning mobile robot. The range finding device is installed at the side surface of the therapeutic instrument laser probe. The CMOS probe of the visual identification and control system is installed at the other side surface of the therapeutic instrument laser probe. The safety device is installed at the front end of the therapeutic instrument laser probe. The measured value outputted by the range finding device and the sensing signal outputted by the safety device are connected with the input end of the visual identification and control system. Output of the visual identification and control system is connected with and controls the accurate positioning mobile robot. Manual operation on a skin laser therapeutic instrument is replaced by the accurate positioning mobile robot so that the skin laser treatment auxiliary robot and the auxiliary method thereof have advantages of high degree of automation and accurate positioning and movement, and high-curative-effect, high-efficiency, safe and reliable skin laser treatment can be guaranteed.

The invention discloses a material recycling device based on an Ad Hoc network. After an IC card reading module indentifies personal information, a material identification sensor module is placed at a material throwing-in port, a recycling material bar code or two dimensional code is obtained through laser scanning, the materials to be thrown in are identified automatically, and material information is acquired; after identification succeeds, a machine module controls the material throwing-in port to open through a motor to allow the materials to be put in, and a storage box is used for storing the received materials / the materials put in; and a wireless data transmission module uploads material information to a central processor module, the central processor module controls a fund flow module to pay fund to a seller, and the material information and fund payment information are uploaded through the Ad Hoc network. According to the device, the material information is acquired through material identification, all information is uploaded to a community processing center through a wireless data transfer radio Ad Hoc network, and fund is paid to the seller according to a market price. The operation is simple, the reliability and the practicability are high, and popularization and application are facilitated.

The invention discloses a digital identification method, a digital identification device, a neural network training method and a neural network training device. The digital identification method comprises the steps of acquiring a digital image sample to be identified, and identifying a digital category corresponding to the digital image sample to be identified through a neural network after training. The neural network after training is trained by the steps as follows: acquiring digital detection samples; detecting a preset neural network by using the digital detection samples, wherein the preset neural network is a neural network trained by digital training samples; judging whether the accuracy rate of the detection results reaches a preset threshold; and when judging that the accuracy rate of the detection results does not reach the preset threshold, adjusting the number of nodes output by the preset neural network, and using an error sample in the digital detection samples to retrain the preset neural network to obtain the neural network after training. The technical problem in the prior art that the precision of digital identification is low is solved.

A risk recognition method based on human identification is disclosed, which identifies a human being from a captured image, such that it can recognize a dangerous situation of each person. The risk recognition method includes detecting a person from photographed image information, and identifying the detected person, thereby generating identification information for each person; extracting access control information for each person using the identification information; analyzing the access control information simultaneously while tracking a movement path for each person, and determining whether a dangerous situation for each person occurs; and if the dangerous situation occurs, selectively warning of the dangerous situation of the person who causes the dangerous situation.

A highly automated system and method for acquiring animal consumption and behavior data comprising stations where consumables are fed to animals. The stations being equipped with RFID equipment for reading RFID tags in close proximity to the station, and weighing devices for measuring the weight of the consumables. The RFID equipment and the weighing device are connected to a computer which calculates the weight of the trough at specific times by using weight data collected before and after the specified time to enhance the accuracy of the weight measurement. The computer uses a “mathematical weighted filter technique” to estimate the weight of the trough before and after a consumption event. The computer uses a method to divide the reduction / increase in weighed matter between the RFID tag last seen and the next RFID tag appearing, providing the reduction / increase in matter is less than a specified amount.

The invention discloses a water level monitoring method based on image identification. The water level monitoring method based on the image identification comprises that an image of a staff gauge used for marking a water level of a water level area to be detected is collected through a camera arranged in the water level area to be detected; the image of the staff gauge is uploaded to the server; the server performs normalization processing on the size of the image of the staff gauge and performs calibration on a measuring range of the staff gauge and key scales of the staff gauge; the server adopts a machine study SVM model to perform training categorization according to the type of the staff gauge images; the current staff gauge image to be identified is obtained through the camera and is uploaded to the server; an optimal algorithm is chosen through a machine study SVM model to calculate a Y coordinate of a current water level to be identified in the current image to be identified of the staff gauge, and the Y coordinate is converted to the current water level value. The invention brings forward a water monitoring method based on image identification, adopts a non-contact water level measuring and calculation method, can accurately and directly identify the current water level height and has characteristics of small reconstruction work, strong stability and a wind application range.

The present invention relates to an apparatus and method of an animal recognition using nose patterns, and particularly to an apparatus and method of an animal recognition comprising a body stabilizer unit to minimize movement of the subject animal for optimal nose pattern image acquisition, an image acquisition unit to obtain and store the nose pattern image, and an image recognition unit to generate, enroll, verify, and identify the raw or processed nose pattern code from the acquired nose pattern image.

The invention provides a road intersection early warning control method and system. The road intersection early warning control method comprises the following steps that image frames and radar signalscontained in road video data at each entrance of a road intersection are detected to obtain road information at each entrance; the road information includes moving object identification information,lane line identification information, vehicle turn signal identification information, vehicle position information and vehicle speed information, wherein moving objects include vehicles, pedestrians and non-motor vehicles; the road information is calculated to obtain traveling information of the moving objects, wherein the traveling information comprises traveling paths and traveling speeds; and according to the traveling information of the moving objects, whether conflict exists between the moving objects or not is judged, if the conflict exists, an alarm is sent to the moving objects. According to the road intersection early warning control method and system, conflict prediction and early warning can be made in advance, and the safety at road intersections is improved.

The invention provides a detection method for abnormal samples in mode identification and analysis of tea quality through intelligent sensory signals. The method is characterized by comprising the following steps: determining whether generation of abnormal samples is caused by maloperation or abnormity of an apparatus and if so, carrying out correction through acquisition again; and if not, identifying the abnormal samples through combined usage of a principal component analysis score plot method and a Mahalanobis distance method.

The invention discloses an express waybill information identification method and system based on deep learning. The method comprises the following steps: constructing a convolutional neural network, and training the convolutional neural network according to all types of sample express waybill images on the market to obtain an image classification model; acquiring image information of an express to be sent, performing image processing for the image information, and acquiring information of a target express waybill, wherein the information of the target express waybill at least includes regional information and contour information; performing comparative calculation according to the contour information and preset side length information, and zooming the regional information based on a comparative calculation result to obtain a thumbnail image; and inputting the thumbnail image to the image classification model, and performing identification to obtain bar code information and destination information in the thumbnail image. According to the express waybill information identification method and system disclosed by the invention, the efficiency of image identification can be improved, the accuracy of image identification can also be greatly increased, and particularly, the accuracy of identifying destinations in express waybills can be greatly increased.

A method for retrieving mail tracking details of a mailpiece sent to a recipient using a stored image of the mailpiece. A mailpiece is provided with a unique mailpiece tracking identifier and the identifier is stored in a database. An image of the mailpiece is then acquired and also stored in the database in association with the unique mailpiece tracking identifier. Mailpiece tracking details for the mailpiece are then acquired as the mailpiece is delivered to a recipient, which tracking details are stored in the database in association with the mailpiece tracking identifier and stored image. A user seeking the particular tracking details is then presented with at least one stored image of a mailpiece, and when an image is selected by a user, the user is presented with the mail tracking details that were stored in association with the selected mailpiece image.