295results about How to "Efficient discrimination" patented technology

A currency counting and discrimination device for receiving a stack of currency bills, rapidly counting and discriminating the bills in the stack, and then re-stacking the bills. The device comprises an input receptacle for receiving a stack of currency bills to be discriminated, a discriminating unit for discriminating the denomination of the currency bills, and one or more output receptacles for receiving the currency bills after being discriminated by the discriminating unit. The device further comprises a transport mechanism for transporting the currency bills, one at a time, from the input receptacle past a sensor of the discriminating unit and to the one or more output receptacles. One or more counters keep track of the value of bills that are discriminated. Furthermore, means are provided for an operator of the device to indicate the value of any bills whose denomination are not determined by the discriminating unit; the bills whose denomination are not determined by the discriminating unit being termed no call bills. The value indicating means appropriately effects the one or more counters.

A method and a system of live detection based on a physiological motion on a human face are provided. The method has the following steps: in step a, a motion area and at least one motion direction in visual angle of a system camera are detected and a detected facial region is found. In step b, whether a valid facial motion exists in the detected facial region is determined. If a valid facial motion is inexistent, the object is considered as a photo of human face, otherwise, the method proceeds to step c to determine whether the facial motion is a physiological motion. If not, the object is considered as the photo of human face, yet considered as a real human face. The real human face and the photo of human face can be distinguished by the present invention so as to increase the reliability of the face recognition system.

The invention discloses a rapid lens flaw detection method and an apparatus thereof. The method comprises the following steps: equally dividing the surface of a lens to be detected into n<2> parts, respectively obtaining the images of all the parts, and obtaining n<2> images within a preset time which is used for controlling the image obtaining rate; 2, carrying out median filtering, black hat transformation and binary processing on the n<2> images respectively, and partitioning off defective images; 3, carrying out opening operation on the defective images to filter out non-flaw interference parts; and 4, drawing contours of the defective images subjected to non-defective interference filter, there are flaws on the surface of the lens to be detected if there is a counter, and no flaws are on the surface of the lens to be detected if there is no counter. The rapid lens flaw detection method provided in the invention allows scratches on the lens to be clearly detected through a surface defect detection method based on the mathematical morphology under the high speed motion of a platform, and defect types to be effectively discriminated, and has the characteristics of fast speed, objective detection result and the like.

An image processing apparatus, an image processing method and an image processing program is provided which efficiently discriminate and process varying pieces of image data for materials corresponding to individual participants to a meeting, while minimizing the human work or operation required. The apparatus includes a user authentication section that acquires ID information to identify each user from among a plurality of users, and performs user authentication based on the ID information; a setting information acquisition section that acquires information for image formation associated with the users authenticated by the user authentication section; and an image data creation section creates image data for images to be formed on sheets of paper based on the setting information acquired by the setting information acquisition section.

A system detects at least one of nuclear and fissile materials. The system includes a plurality of high speed scintillator detectors. Each high speed scintillator detector in the plurality of high speed scintillator detectors includes at least one photo sensor and a pre-amp circuit adapted to eliminate pulse stretching and distortion of detected light pulses emitted from scintillation material when interacting with neutron particles and/or gamma particles. An isotope database includes a plurality of spectral images corresponding to different known isotopes. An information processing system is adapted to compare spectral data received from each high speed scintillator detector to one or more of the spectral images and identify one or more isotopes present in an object or container being monitored.

The invention belongs to the automobile control technical field and provides a CAN communication bus system-based fault diagnosis method. The method includes the following steps that: a vehicle is started; a vehicle controller receives the messages of various components circularly; the vehicle controller judges whether the vehicle itself receives the messages of each component; if the vehicle controller does not receive the messages of each component, the vehicle controller judges whether itself receives the message of a certain component in a preset time period; and if the vehicle controller does not receive the message of the component in the preset time period, the vehicle controller judges a fault code corresponding to the component and transmits the fault code to an instrument, and the instrument displays corresponding fault information. With the CAN communication bus system-based fault diagnosis method of the invention, a CAN communication bus system is protected; the fault of the CAN communication bus system can be judged; judgment on whether each component of the vehicle malfunctions can be facilitated; and measures against the fault are taken, so that the safety of the driving of the vehicle can be ensured.

Disclosed is a transmission envelope detector referred to a squelch detection circuit for effectively detecting an element of transmission data in a high speed serial data transmission system. The squelch detection circuit of the invention includes a differential input level shifter, a first reference voltage generator, an amplifier, a second reference voltage generator, and a comparator. The squelch detection circuit can detect whether the transmission data is a noise or signal element even at a cross point of the transmission data, resulting in achieving stable data transmission.

The invention discloses an electronic homework plagiarism preventing system and method based on paragraph plagiarism detection. The electronic homework plagiarism preventing system comprises an electronic homework submitting device, an electronic homework receiving device, a plagiarism detecting queue device, an electronic homework analyzing device, a plagiarism detecting device and an electronic homework storage device. The method includes: the electronic homework receiving devices receives electronic homework submitted through the electronic homework submitting device and adds the same into the plagiarism detecting queue device; the plagiarism detecting queue device detects plagiarism by using paragraph as the detecting unit and combining effective paragraph judging. The method using paragraph as the detecting unit and combining a queue mechanism for plagiarism detection has the advantages that system efficiency and stability are increased while the electronic homework polarizing multiple electronic homework can be judged, the attribution of the original homework can be judged, and plagiarism prevention can be achieved.

The present invention relates to a modified multiple choice testing system using the computer and the method of the same. The test questions are displayed on the screen without the options. The options of the question are presented on the screen contingent upon the student's mouse click. They remain on the screen for a pre-determined duration. The student is allowed to make a selection within that time period. When the time is over, the options disappear from the screen and the test question type test taker can no longer answer the question. This invention will serve as an accurate and reliable assessment tool.

The method discloses a fault line selection method based on a phase current transient characteristic. The method comprises the following steps of S1, continuously measuring a distribution line outlet zero sequence voltage value and determining whether a power distribution network generates a grounding fault; S2, processing collected phase current data, extracting a transient phase-current sudden-change amount of each line, and carrying out interphase pairwise correlation analysis so as to obtain an interphase minimum correlation coefficient rhok min; S3, carrying out spectral analysis on each line fault phase current and calculating a gravity frequency fkg; S4, carrying out normalization processing on a fault characteristic quantity and acquiring normalization values, establishing a two-dimensional coordinate system based on the normalization values, and determining each line fault characteristic coordinate point; and calculating a fault characteristic distance dk between each line fault characteristic coordinate point and a reference point (0, 0) so as to determine a bus fault. The method possesses advantages that a principle is simple; practicality is high; an anti-interference capability is good; accuracy is high and so on.

The invention discloses a compressed sensing-before testing tracking method based on a phased array radar system. The compressed sensing-before testingtracking method based on the phased array radar system comprises the following steps: (1) using noise-driving compressed sensing algorithm to reform and characterize sparse signals of a sparse scenario, (2) separating points occupied by potential objectives from points corresponding to noise, (3) hiving off the potential objectives through a k-means clustering method, (4) and outputting tracks of the test objectives. The compressed sensing-before testingtracking method based on the phased array radar system adopts compressed sensing technology and reforms the whole radar scenario for each distance door in a series of continuous scanning. The compressed sensing-before testingtracking method based on the phased array radar system can not only track in real time in the continuous scanning, but also track in each scanning in real time on the basis of information acquired from multiple illumination intensity. The noise-driving compressed sensing algorithm can effectively reform the radar sparse scenario without changing the existing hardware system due to the optimization of transmission waveform. On the other hand, timely tracking in each scanning can acquire information based on the multiple illumination intensity, and therefore a real objective is effectively identified from false objectives and the clutters.

The invention relates to a process for oxidizing a titanium alloy blue anode, which comprises the following steps: deoiling, cold water washing, hardened layer removal, cold water washing, activation, cold water washing, titanium alloy anodization, cold water washing, deionized water washing, transflective displaying, deionized water washing, hot water washing, drying, and inspection. The process has the advantage of distinguishing the alloy defect and processing defect on the surface of a titanium alloy part fast and effectively. The main representation comprises that after finishing the processes of the anodization and the transflective displaying, the surface of the part has a steel gray background, and the parts where defects exist present different colors; compared with a defect picture, the defects of forging fold, inclusion, overheating, partial supercooling, partial alpha phenomenon, beta concentration area, grinding ablation and the like of the parts due to metallurgy or processing reasons can be judged more clearly and reliably. Through detection, the result shows that the process is stable and reliable and has the advantage that the process can not replaced by the prior process.

The invention discloses a real person verification method via videos Videos are collected continuously, continuous video frames in a video stream are converted into single-channel images, the single-channel images are combined into one multi-channel image, a trained deep learning model is used to process the synthesized multi-channel image, depth characteristics are extracted, an in-vivo determination method is used to determine whether there is a real person in the image, and a determination result is output. Thus, the real person can be determined effectively. The in-vivo is detected onlinevia a deep learning manner, and the problem that the face is faked via a picture, video or 3D model can be solved effectively.

A high sensitivity, three-dimensional gamma ray detection and imaging system is provided. The system uses the Compton double scatter technique with recoil electron tracking. The system preferably includes two detector subassemblies; a silicon microstrip hodoscope and a calorimeter. In this system the incoming photon Compton scatters in the hodoscope. The second scatter layer is the calorimeter where the scattered gamma ray is totally absorbed. The recoil electron in the hodoscope is tracked through several detector planes until it stops. The x and y position signals from the first two planes of the electron track determine the direction of the recoil electron while the energy loss from all planes determines the energy of the recoil electron.

The invention provides a limb movement recognition method based on the autonomous motor imagery electroencephalogram. Survey data show that when a person does the same movement, the brain can generatesimilar electroencephalogram signals, and therefore the feature signals can be extracted to achieve movement of the mechanical arm, and then the disabled can be assisted in moving. According to the method, the brain network is established to classify the actions, so that the consideration of the correlation among the regions of the brain is enhanced, and the working mechanism behind the EEG signals and the related rhythm characteristics thereof is displayed. A brand-new brain factor effect network analysis method based on a nonlinear partial directional coherence method is used for carrying out upper limb movement classification by utilizing a random forest, the classification accuracy is high, and corresponding actions are judged according to electroencephalogram signals, so that the mechanical arm moves, and the purpose of assisting the disabled in movement is achieved.