37315results about How to "Improve detection efficiency" patented technology

Provided are N grouping of traffic and pattern-free Internet worm response system and method. According to the method, traffic factors generated by respective worms are grouped into N groups so that a great quantity of Information may be effectively understood and a worm generated afterward is involved with characteristics of a relevant group. Damages of a network or a system predictable through already classified N traffic characteristics are defined so that corresponding step-by-step measures are taken. Characteristics of the grouped worms are quantitatively analyzed so that a danger degree of a new worm is predicted when the new worm appears afterward and forecasting and alarming through the prediction are performed. Easiness with which a controlling operator instantly understands an accident using a visualization method having an approximate real-time characteristic is increased, so that detection efficiency for most worms not detected using a conventional rule is increased.

The invention provides a PCB apparent defect automatic detection system and method based on an image and aims at solving the problems that detection efficiency is low and misjudgment rate is high. The method comprises the following steps: firstly transmitting a to-be-detected PCB to a specified position by virtue of a motion control unit; acquiring an image of the to-be-detected PCB by utilizing image acquisition equipment such as an image acquisition card and an industrial camera; then sequentially carrying out a series of operation such as image preprocessing, PCB defect detection and PCB defect identification and classification on the acquired image, so that PCB defect automatic detection is completed; and finally realizing real-time automatic sorting of an unqualified PCB and timely reporting a defect position and a defect analysis result to an operator. The system and method which are provided by the invention can automatically detect the PCB defect and identify the defect type to a great extent, and false detection rate is reduced, so that enterprise cost is reduced, and the system and method which are provided by the invention have stronger practicability.

A first semiconductor layer serves as a first implanted layer of a first conductivity type. A second semiconductor layer of a second conductivity type is provided under the first semiconductor layer. The second conductivity type is opposite to the first conductivity type. The second semiconductor layer is buried in an epitaxial layer grown above a substrate. The second semiconductor layer becomes fully depleted when an appropriate bias voltage is applied to the device.

The invention relates to a monocular multi-perspective machine vision-based online automatic sorting device for steel balls. The online automatic sorting device comprises an assembly line, a monocular multi-perspective machine vision device and a microprocessor, wherein the assembly line is used for automatically detecting and sorting the steel balls, the monocular multi-perspective machine vision device is used for shooting images of the detected steel balls, the microprocessor is used for performing image processing, detection, identification and classification on the images of the detected steel balls and coordinately controlling each actuating mechanism on the assembly line to coordinately move, and the assembly line comprises a feeding actuating mechanism, a transmission mechanism and a sorting actuating mechanism. The invention provides the monocular multi-perspective machine vision-based online automatic sorting device for the steel balls based, which has the advantages of simple mechanism, low manufacturing cost, high sorting efficiency and convenience in operation and maintenance.

The invention discloses a road boundary detecting and tracking method. The road boundary detecting and tracking method comprises acquiringpolar coordinate data of radar scanning points of the surroundings of an unmanned vehicle through radar scanning, and converting the polar coordinate data into rectangular coordinates; mapping radar points into a polar coordinate grid, and according to the height of extending vertexes in the grid, extracting ground points; extracting road boundary points through the radial distance of the scanning points from a road boundary under the same scanning line as well as the height mutation properties of the neighboring scanning points and by combining with a road extending direction; performing filtering through the random sampling consensus algorithm, fitting the filtered road boundary points through the least square method; performing tracking through a Kalman filter. The road boundary detecting and tracking method can effectively extract road boundaries in an actual scenario when obstacles exist on roads, and by means of the Kalman filter, enhances the boundary detecting accuracy and reliability. The road boundary detecting and tracking method involves no complex computation, thereby being high in practicality and applicable to wide application to unmanned navigation modules.

An optical fiber for use in fiber optic sensing of a test sample includes a first core and a second core. The second core is generally coaxially disposed within the first core and is sized smaller than the first core. The second core is capable of delivering pulsed laser energy from the laser for nonlinear optical excitation of the test sample. Nonlinear optical feedback signals can then be collected in both the first core and second core for improved detection efficiency relative to conventional single-mode and multi-mode fibers.

The invention relates to a kit for determining heart-type fatty acid binding protein in serum or urine by latex enhanced turbidimetric immunoassay. Specifically, the kit for determining the heart-type fatty acid binding protein comprises a reagent R1, a reagent R2 and a calibrator, wherein the reagent R1 contains a reaction promoter, an antiseptic, a surfactant, a stabilizing agent, an electrolyte and a buffer; the reagent R2 contains latex particles with binding of anti-heart-type fatty acid binding protein monoclonal antibody and polyclonal antibody, an antiseptic, a surfactant, a stabilizing agent, an electrolyte and a buffer; and the calibrator contains an antiseptic, an electrolyte, a stabilizing agent, a heart-type fatty acid binding protein pure product and a buffer. By the complex coating method of latex particles with the monoclonal antibody and the polyclonal antibody, high sensitivity and wide linear range of the kit are guaranteed. Simultaneously, the kit also has advantages of high accuracy, good repeatability, strong singularity, easy operation and the like, and is applicable to an automatic biochemical analyzer which is commonly used in clinic.

The invention discloses a pedestrian detection method based on machine vision and a pedestrian anti-collision warning system based on machine vision. The method includes: acquiring an image of a place in front of an automobile, pre-positioning pedestrians in the processed image, judging a pre-positioned pedestrian area to position the pedestrian area accurately, measuring the distance between the pedestrians and the automobile and judging whether the pedestrians are in a dangerous area or not, and warning the pedestrians in the collision dangerous area. The anti-collision warning system comprises an image acquisition unit, a pedestrian positioning unit, a pedestrian distance measuring unit, and a collision possibility analyzing unit. By using a pedestrian classifier to detect the pedestrians on roads, individual characteristics of the pedestrians are blurred, influence of individual differences and illumination to detecting results is reduced, detection efficiency of the pedestrians is improved. The anti-collision warning system is further used to judge possibility of accidents so as to give warning signals to a driver, so that safety of automotive vehicle driving on the roads is improved.

The invention relates to a remote controller automatic detection production line, comprising a conveyor belt and also at least comprising an appearance detection working station and a function detection working station, wherein the appearance detection working station comprises an appearance detection device arranged on the conveyor belt and an unqualified-appearance product recycling device; the function detection device comprises an automatic function detection device arranged above or at one side of the conveyor belt and an unqualified-function product recycling device. The remote controller automatic detection production line realizes automatic online detection of remote controllers, not only improves the detecting efficiency, but also avoids influence from artificial subjective judgment and improves the detecting quality.

The invention discloses an epidemic preventing and controlling system for detecting and searching people with abnormal temperatures. The system comprises an information acquisition processing module, a communication processing module and a terminal processing module. The information acquisition processing module consists of an infrared detector, a camera and an information acquisition processor, wherein the infrared detector is used for acquiring face temperature information; the camera is used for acquiring face video information; and the information acquisition processor is used to perform motion target division and profile extraction on the face temperature information and the face video information so as to obtain information of people with abnormal temperatures. The communication processing module is used for transmitting the information of the people with the abnormal temperatures to the terminal processing module. The terminal processing module performs real-time dynamic searching of the people with abnormal temperatures in a monitored area and can send scheduling instruction information for giving an epidemic prompt and tracking people and the like. The system of the invention can monitor and recognize the people with abnormal temperatures in the monitored area and accordingly make a correct response and give good warning for coming epidemics, so that even epidemics outbreak, the people with abnormal temperatures can be found at first time and the epidemic preventing efficiency is improved as high as possible.