305results about How to "Efficient and accurate identification" patented technology

A system for identifying test tube types and properties in a sample handling machine using visual information automatically obtained by an optical imager and then processed using vision processing methods. The system includes an optical imager positioned to capture images containing one or more test tubes in a rack and a microcontroller programmed to extract predetermined regions of interest and interpret the optical information in the image to decipher the dimension of the test tubes, determine the presence or absence of caps on the test tubes, decode any encoded data, and interpret custom symbologies. The system may then determine the nature of the test tubes or other containers presented before the image and provide that information to the sample handling machine to assist with processing of samples.

A method and system for altering a presentation of broadcast content is disclosed. Embodiments provide an accurate and efficient mechanism for suppressing advertisements by using downloaded templates to identify advertisements before suppression for a duration indicated by information downloaded about the advertisement, where the suppression is effectuated by controlling a display or set-top box using remote-control functionality. In one embodiment, a digital signal comprising broadcast content is accessed. A plurality of templates are received and stored, wherein each template represents a known portion of the broadcast content. The digital signal is then compared against a portion of the plurality of stored templates. Upon a match, a control signal operable to alter a component of a presentation of the known portion of the broadcast content is generated.

In general, the present invention is directed to systems and methods for finding the position and shape of an animal using video. The invention includes a system with a video camera coupled to a computer in which the computer is configured to automatically provide animal segmentation and identification, animal motion tracking (for moving animals), animal-posture classification, and behavior identification. In a preferred embodiment, the present invention may use background subtraction for animal identification and tracking, and a combination of decision tree classification and rule-based classification for posture and behavior identification. Thus, the present invention is capable of automatically monitoring a video image to identify, track and classify the actions of various animals and the animal's movements within the image. The image may be provided in real time or from storage. The invention is particularly useful for monitoring and classifying animal behavior for testing drugs and genetic mutations, but may be used in any of a number of other surveillance applications.

The invention provides a ship target identification system and method based on artificial intelligence image processing. The method comprises the following steps of collecting Video information samples a by adopting ship video equipment in a high-dynamic water surface environment; Labeling the sample by adopting a manual and automatic tracking algorithm; Under the condition of low-quality video; identifying a sea surface weak target on the basis of the synthesized sample; Target identification method, In the prior art, only a shore-based system is used for identifying a marine weak target; According to the technical scheme, the technical effects that double-dynamic identification is carried out under various platforms such as a shore-based platform and a water-surface platform, a weak target on the sea is identified, and a ship target in the severe environment on the sea is accurately and efficiently identified are achieved through one set of system.

The invention discloses a pavement marker information processing method and apparatus. The processing method comprises the steps of obtaining road point cloud data of a target road based on track point information of a laser collection device and laser point cloud data of the target road, wherein the laser point cloud data is obtained by performing point cloud measurement on the target road through the laser collection device, and the pavement point cloud data is used for describing pavement information of the target road; according to a preset range, dividing a region which the pavement point cloud data belongs to into a plurality of pavement regions; obtaining reflectivity screening thresholds of the pavement regions, and screening pavement marker data in the pavement point cloud data of the pavement regions according to the reflectivity screening thresholds of the pavement regions and a preset extraction window, wherein the reflectivity screening thresholds of at least two pavement regions in the pavement regions are different; and identifying pavement markers in the pavement marker data. According to the method and the apparatus, the technical problem of low identification accuracy of the pavement markers is solved.

A system for identifying test tube types and properties in a sample handling machine using visual information automatically obtained by an optical imager and then processed using vision processing methods. The system includes an optical imager positioned to capture images containing one or more test tubes in a rack and a microcontroller programmed to extract predetermined regions of interest and interpret the optical information in the image to decipher the dimension of the test tubes, determine the presence or absence of caps on the test tubes, decode any encoded data, and interpret custom symbologies. The system may then determine the nature of the test tubes or other containers presented before the image and provide that information to the sample handling machine to assist with processing of samples.

To detect a slip state in a contact region of a rotating tire on a road surface, first, the first radical direction data and the second width direction data of measurement data of acceleration at a tread portion of the rotating tire for a duration corresponding to one round of tire rotation are acquired. Second, time series data of acceleration due to tire deformation is extracted from the first radical direction data and displacement data is obtained by subjecting the time series data of acceleration due to tire deformation to a time integration of second order, thereby a deformation at the tread portion is calculated and a contact region of the rotating tire is determined from the calculated deformation. Next, from the second width direction data, a slip region within the determined contact region is specified based on vibration level of the second data.

A method of screening complementary metal-oxide-semiconductor CMOS integrated circuits, such as integrated circuits including CMOS static random access memory (SRAM) cells, for n-channel transistors susceptible to transistor characteristic shifts over operating time. For the example of SRAM cells formed of cross-coupled CMOS inverters, static noise margin and writeability (Vtrip) screens are provided. Each of the n-channel transistors in the CMOS SRAM cells are formed within p-wells that are isolated from p-type semiconductor material in peripheral circuitry of the memory and other functions in the integrated circuit. Forward and reverse body node bias voltages are applied to the isolated p-wells of the SRAM cells under test to determine whether such operations as read disturb, or write cycles, disrupt the cells under such bias. Cells that are vulnerable to threshold voltage shift over time can thus be identified.

The invention discloses a novel Feulgen staining method-based abnormal cervical cell automatic identification method. According to the automatic identification method disclosed by the invention, the features of the cervical cells are extracted, and the cervical cell classifier is trained, so that the identification of abnormal cervical cells is realized; the process of producing the cervical cellclassifier mainly comprises the following four steps of: 1, dyeing a cervical cell slide by using a Feulgen dyeing method, and automatically scanning the slide by using a microscope to generate a digital view; 2, segmenting cervical cell nuclei in the view map by using a Surf algorithm in combination with a RegionGrowing algorithm; 3, extracting DNA content information of the cell nucleus, cell nucleus morphological characteristics, cervical cell image texture characteristics and the like, and constructing a characteristic vector for representing the abnormal degree of each cervical cell; andstep 4, constructing and training a neural network classification model based on the feature vectors to obtain the cervical cell classifier; and finally, predicting a new cervical cell feature vectorby using the trained cervical cell classifier, thereby realizing the purpose of identifying abnormal cervical cells. Experiments show that the abnormal cervical cell automatic identification method based on the Feulgen staining method can complete the identification task of the abnormal cervical cell with high precision and efficiency, and the automatic identification method has high practical value when being applied to a real product.

The invention provides a vehicle recognition method based on image detection. The vehicle recognition method includes the steps that a vehicle image of a vehicle is obtained by means of a monitoring device, feature filtering processing and normalization processing can be carried out on the vehicle image, and accordingly the vehicle image undergoing normalization processing can be obtained; a feature vector of the vehicle image obtained after normalization processing is obtained; the feature vector of the vehicle image undergoing normalization processing is compared with a corresponding feature vector of vehicle samples in a database, and accordingly the vehicle sample most similar to the vehicle image undergoing normalization processing in the database is obtained; the type of the obtained vehicle sample in the database serves as the type of the vehicle. According to the vehicle recognition method based on image detection, by means of normalization processing and comparison processing, the type of the vehicle can be quickly, efficiently and accurately recognized; the technical problems that an existing vehicle recognition method is low in recognition efficiency and poor in recognition accuracy are solved.

The invention relates to the technical field of horseshoe kiln energy consumption anomaly detection, in particular to a horseshoe kiln energy consumption anomaly detection method based on improved density peak clustering. An artificial bee colony algorithm is adopted to achieve an adaptive optimization process of a truncation distance, an outlier coefficient strategy is set to achieve a function of automatically dividing cluster centers and outliers, and intelligent, rapid and accurate kiln energy consumption anomaly detection is achieved. According to the method, the adaptive density peak clustering algorithm is modified, and clustering analysis is performed on the energy consumption data in the production process of the glass melting furnace by using the adaptive density peak clusteringalgorithm, so that abnormal energy consumption samples can be efficiently and accurately identified.

The present invention relates to compositions and methods for identifying, monitoring, and sorting specific genetically-modified plant portions from other genetically-modified plant portions. The present invention also relates to compositions and methods for identifying, monitoring, and sorting specific genetically-modified plant portions from non-genetically modified plant portions where both are present in a mixture. Either or both of the genetically modified plant portions or the non-genetically modified plant portions can comprise a distinguishable marker which is identified and used for sorting such mixtures of plant portions. The present invention is also directed toward kits useful in the methods disclosed herein. The compositions, methods, and kits of the present invention are used inter alia in high-throughput, sorting systems for identity preservation of a seed stock, to provide seed populations that are free of genetically-modified seeds, to isolate hybrid seed uncontaminated with selfed seed, and to isolate one type of genetically-modified plant portion from a mixture of genetically-modified plant portions.