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377results about How to "Quick and accurate identification" patented technology

Method and apparatus for identifying objects depicted in a videostream

The present invention relates to an apparatus for rapidly analyzing frame(s) of digitized video data which may include objects of interest randomly distributed throughout the video data and wherein said objects are susceptible to detection, classification, and ultimately identification by filtering said video data for certain differentiable characteristics of said objects. The present invention may be practiced on pre-existing sequences of image data or may be integrated into an imaging device for real-time, dynamic, object identification, classification, logging / counting, cataloging, retention (with links to stored bitmaps of said object), retrieval, and the like. The present invention readily lends itself to the problem of automatic and semi-automatic cataloging of vast numbers of objects such as traffic control signs and utility poles disposed in myriad settings. When used in conjunction with navigational or positional inputs, such as GPS, an output from the inventative systems indicates the identity of each object, calculates object location, classifies each object by type, extracts legible text appearing on a surface of the object (if any), and stores a visual representation of the object in a form dictated by the end user / operator of the system. The output lends itself to examination and extraction of scene detail, which cannot practically be successfully accomplished with just human viewers operating video equipment, although human intervention can still be used to help judge and confirm a variety of classifications of certain instances and for types of identified objects.
Owner:GOOGLE LLC

Apparatus and method for optimized self-synchronizing serializer/deserializer/framer

InactiveUS6459393B1Negatively impact design timeNegatively integrated circuit clock loadingParallel/series conversionViruses/bacteriophagesSerial transferTelecommunications link
An apparatus and method for improving the communication capabilities of computer systems is disclosed. The most preferred embodiments of the present invention use a series of data buffers and data registers to process an incoming high speed data signal. By using the buffers and registers, the incoming signal can be reformatted and manipulated at a much lower frequency than the original transmission frequency. The deserializer of the present invention also samples a greater portion of the incoming data signal than usual to further increase reliability. These various features of the invention provide for a more stable and reliable communication link and will also provide a less expensive solution for serialization/deserialization. The present invention includes a serializer that receives parallel data input from a computer and serializes the data for transmission over a high-speed serial communication link. On the receiving end, the present invention provides a deserializer that can quickly and efficiently transform the serial data back into parallel form for use within the computer system on the receiving end. By utilizing two related clock signals, one clock signal being an integer multiple of the other, a self-synchronizing serializer/deserializer can be created. In addition, by increasing the size of the data sample on the receiving end, the comparisons necessary to retrieve a parallel signal from a serial transmission can occur at a much lower frequency than the frequency of the serial transmission. In the most preferred embodiment, the invention is provided as a integrated solution manufactured on a Peripheral Component Interconnect (PCI) card, thereby allowing the present invention to be easy installed into existing computer systems.
Owner:MEDIATEK INC

Method and apparatus for identifying objects depicted in a videostream

The present invention relates to an apparatus for rapidly analyzing frame(s) of digitized video data which may include objects of interest randomly distributed throughout the video data and wherein said objects are susceptible to detection, classification, and ultimately identification by filtering said video data for certain differentiable characteristics of said objects. The present invention may be practiced on pre-existing sequences of image data or may be integrated into an imaging device for real-time, dynamic, object identification, classification, logging / counting, cataloging, retention (with links to stored bitmaps of said object), retrieval, and the like. The present invention readily lends itself to the problem of automatic and semi-automatic cataloging of vast numbers of objects such as traffic control signs and utility poles disposed in myriad settings. When used in conjunction with navigational or positional inputs, such as GPS, an output from the inventative systems indicates the identity of each object, calculates object location, classifies each object by type, extracts legible text appearing on a surface of the object (if any), and stores a visual representation of the object in a form dictated by the end user / operator of the system. The output lends itself to examination and extraction of scene detail, which cannot practically be successfully accomplished with just human viewers operating video equipment, although human intervention can still be used to help judge and confirm a variety of classifications of certain instances and for types of identified objects.
Owner:GOOGLE LLC

User-purchased product identification method and device and intelligent shelf system

The invention provides a user-purchased product identification method and device and an intelligent shelf system. The method comprises the steps that a first monitoring image collected in a monitoringarea corresponding to a cargo box is acquired, and the first monitoring image is identified to acquire an identification result including user identity information; when the weight of a product is reduced, the time when the product is picked up is acquired, and the information of the product picked up is acquired; the user identity information corresponding to the product picked up is acquired; and the user identity information and the information of the product picked up are associated. According to the method, the device and the intelligent shelf system, automatic sensing of the purchased product and automatic binding of the product information and the user identity are realized; an intelligent shelf is used as a carrier to automatically sense the customer-purchased product, which savesthe labor cost; the identification is fast and accurate, and the shopping efficiency is improved; and the product and a user are bound without any operation of the user, which can enhance the shopping experience.
Owner:BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1

Clustering analysis-based intelligent fault diagnosis method for antifriction bearing of mechanical system

The invention discloses a clustering analysis-based intelligent fault diagnosis method for an antifriction bearing of a mechanical system. A diagnosis model is trained firstly, comprising the following steps: collecting standard vibration signal samples of five fault and normal bearing states of an outer ring, an inner ring, a rolling body and a holding frame; decomposing signals, extracting original vibration signals as well as time domain and frequency domain characteristics of decomposed components to obtain an original characteristic set; removing redundancy by means of a self-weight algorithm and an AP (Affinity Propagation) clustering algorithm to obtain Z optimal characteristics; classifying sample statuses by means of the AP clustering algorithm to obtain a well-trained diagnosis model. A fault diagnosis is performed by the following steps: collecting real-time vibration information of a bearing, decomposing the signals, extracting the optimal characteristics determined by the model, importing the AP clustering algorithm to cluster parameters based on the diagnosis model, comparing with the Z characteristics known in the model to obtain a category of a current unknown signal, so as to complete the fault diagnosis. According to the clustering analysis-based intelligent fault diagnosis method disclosed by the invention, both EEMD (Ensemble Empirical Mode Decomposition) and WPT are utilized to decompose the vibration signals, more refined bearing status information can be acquired, the self-weight algorithm and the AP clustering algorithm increase intelligence of the diagnosis, and therefore accurate diagnosis is ensured.
Owner:GUILIN UNIV OF ELECTRONIC TECH

Plant disease and pest identification method based on attention mechanism and multi-level convolution characteristics

The invention discloses a plant disease and pest identification method based on an attention mechanism and the multi-level convolution characteristics. The method aims to classify the plant pest and disease damage images in a natural scene by combining the attention mechanism and the multi-level convolutional characteristics and mainly solve the problem that the plant pest and disease damage identification is interfered by the large-area complex backgrounds in the natural scene images, and all convolutional layer characteristics in a network model are fully utilized. According to the method, adeep convolutional neural network containing the attention mechanism is designed, a local position area mask covering a target spatial position in an image is generated by utilizing the attention mechanism and is used for weakening the complex background interference information in a natural scene image, and the semantic information and the detail information are fully utilized in combination with the multi-level convolution characteristics to perform more differentiated characteristic representation on the plant diseases and insect pests. Finally, the obtained model is used for the plant disease and pest image classification in a natural scene, and the obtained local area mask is used for obtaining the position information of the plant diseases and pests.
Owner:NANKAI UNIV

An invoice collection management system and method based on an OCR image recognition technology

The invention relates to an invoice collection management system and method based on an OCR image recognition technology. An invoice information acquisition unit of the system acquires invoice pictureinformation data; the OCR image identification unit identifies and reads the invoice image information data based on an OCR image identification technology in combination with an artificial intelligence deep learning algorithm to obtain an OCR image identification result; the invoice information verification processing unit identifies the invoice type of the OCR image identification result and automatically calls a tax bureau value-added tax invoice authenticity checking platform to carry out authenticity checking when the identification result is the value-added tax invoice; the invoice information storage management unit stores an OCR image recognition result of which the identification result is a non-value-added tax invoice, repeatedly collects and checks the OCR image recognition result of the value-added tax invoice of which the check result is true, and then correspondingly stores the OCR image recognition result; and the invoice information classification display unit carriesout classification display processing on the invoice information data and comprehensively realizes the whole process of collection, identification, checking, processing and storage of the invoice information data.
Owner:大象慧云信息技术有限公司
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