146results about How to "Suppress false detection" patented technology

An image sensor is disclosed, which includes: a pixel unit having a plurality of pixels each outputting incident light as a pixel signal; an amplifier amplifying the pixel signal output from the pixel unit; and a defective pixel detection circuit performing a defective pixel detection on signals output from the amplifier, wherein the defective pixel detection circuit adjusts the detection accuracy of the defective pixel detection in accordance with an exposure condition of the pixel unit.

In an apparatus for detecting a human face from an input image, candidate areas for an eye and candidate areas for an interval between eyes are detected from the image, an area of the interval between eyes is determined from the positional relationship between the candidate areas for an eye and candidate area for an interval between eyes, and a face area is determined so that the face area includes the area of the interval between eyes.

Methods, systems, computer-readable media, and apparatuses for tap detection in a mobile device are presented. In some embodiments, the method may comprise storing, by a mobile device, a first data sample from an accelerometer sensor and a second data sample from a gyroscope sensor. Additionally, the method may comprise processing a plurality of data samples. The plurality of data samples can include the first data sample or the second data sample. Optionally, in one embodiment, the method may comprise suppressing a tap that has been classified as a false detection based on at least one of the plurality of data samples. Subsequently, the method may comprise determining an occurrence of a tap at a mobile device based on the results of the processing.

Disclosed is a vanishing point detecting system that includes a straight line detecting unit, a vanishing point detecting unit, and a vanishing point outputting unit. In the vanishing point detecting unit, a vanishing point is detected with one evaluation index of vanishing point plausibility being whether or not angles of plural straight lines passing through a point in question or a vicinity thereof are sparsely distributed over a relatively wide range.

Provided is a refrigerator including: a storage chamber having an infrared sensor which detects a surface temperature of food; and an adjacent storage chamber starting from the infrared sensor as a start point and adjacent to a projection plane of the detection plane of the infrared sensor. The storage chamber and the adjacent storage chamber are maintained in the same temperature band so as to improve the accuracy of a temperature detected upon door open and close. Moreover, by suppressing condensation and temperature fluctuations of a thermistor itself which may cause an erroneous detection, it is possible to stably detect the food temperature.

A controller prestores average moving speed data, which corresponds to respective corresponding positions of a window glass of a door driven by a motor at the time of the closing movement of the window glass, as learning data. The controller senses pinching of an object by the window glass based on the learning data and the speed measurement signal obtained at the time of the closing movement of the window glass. The controller senses a disturbance when the speed measurement signal obtained at the time of the closing movement of the window glass exceeds a predetermined value. The controller updates the learning data based on the average moving speed data at the time of the closing movement of the window glass. The controller controls execution and non-execution of updating of the learning data in response to a close state and an open state of the door.

There are provided a paper conveying apparatus, a jam detection method and a computer-readable, non-transitory medium which can suppress erroneous detection of the occurrence of a jam. The paper conveying apparatus includes a sound signal generator, provided with a sound detector near a conveyance path of paper, for generating a sound signal corresponding to a sound generated by a paper during conveyance of the paper, a sound jam detector for determining whether a jam has occurred based on a predetermined sound signal, and a control module for performing an abnormal processing when the sound jam detector determines that the jam has occurred and the predetermined sound signal is not generated at a predetermined timing, and determining that the jam has not occurred and not performing the abnormal processing when the sound jam detector determines that the jam has occurred and the predetermined sound signal is generated at the predetermined timing.

A parallel running vehicle detecting apparatus is provided, which includes a first distance sensor for detecting distance of an object in a first detection area on a rear lateral side of a vehicle, a second distance sensor for detecting distance of an object in a second detection area, a parallel running vehicle detector for detecting a parallel running vehicle based on detections of the first and second distance sensors, and a storage for storing a detection distance history of the second distance sensor. The parallel running vehicle detector is provided with multiple determination conditions for determining whether the object detected by the first distance sensor is the parallel running vehicle, and changes the parallel running vehicle determination condition based on the detection distance history stored in the storage.

A debugging system according to an exemplary embodiment of the present invention includes: a plurality of arithmetic processing units (51, 52) that perform arithmetic processing; a comparison unit (53) that compares outputs from the plurality of arithmetic processing units (51, 52); and a debug processing unit (54) that outputs a stop instruction for stopping operation of the comparison unit (53), to the comparison unit 53, when debug processing is performed on a predetermined arithmetic processing unit among the plurality of arithmetic processing units (51, 52).

A touch panel has a transparent insulating member, a first electrode layer, and a second electrode layer, in which in a case where a total area of first non-connecting wires in a first electrode of the first electrode layer is A1, a total area of first electrode wires in the first electrode is B1, and an occupation ratio of the first non-connecting wires in the first electrode is C1, C1=A1/(A1+B1) is satisfied, in a case where a total area of second non-connecting wires in a second electrode of the second electrode layer is A2, a total area of second electrode wires in the second electrode is B2, and an occupation ratio of the second non-connecting wires in the second electrode is C2, C2=A2/(A2+B2) is satisfied, and at least one first electrode and at least one second electrode satisfying C2<C1 are provided.

A touch sensor panel includes a plurality of sensors. A protective plate protects the touch sensor panel. A transparent adhesive material attaches the touch sensor panel and the protective plate. A moisture-proof sealing member has water vapor permeability that is lower than water vapor permeability of the transparent adhesive material. A flexible wiring board connects the plurality of sensors to an external circuit. The transparent adhesive material has a region that is out of contact with the protective plate or the touch sensor panel, and at least a part of the region is covered by the moisture-proof sealing member.

The present invention realizes determination of tissues and cells from an image by calculating feature values of a deformed degree of the cells even in a case where the tissues or the cells have various shapes. An image diagnosis support apparatus according to the present invention executes processing of inputting an image of cells, processing of extracting the feature values of a plurality of direction components from a target image of the processing, processing of determining whether or not the image corresponds to one-classification by using the plurality of feature values, and processing of determining whether or not the determination processing is finished with respect to all of the classifications set in advance (FIG. 1).

The invention discloses a single-stage target detection method using an anchor-frame-free module and an enhanced classifier. The single-stage target detection method comprises the following steps: embedding the anchor-frame-free module; designing a decoupling control method; training an enhanced classifier is trained. The model is named as enhanced YOLOv3, and the enhanced YOLOv3 is established onthe basis of the YOLOv3. In order to solve the problem of low recall rate of YOLOv3, the invention provides a hybrid method, which combines an anchor-frame-free module with a YOLO prediction branch to generate more stable prediction. According to the invention, an enhanced classifier is provided, redundant bounding boxes are extracted step by step through multiple cascaded classifiers, the enhanced classifier can prevent some key bounding boxes from being eliminated before post-processing, and meanwhile error detection is restrained. On the basis, the invention provides a decoupling method tosolve the problem of inaccurate positioning, and provides a feature enhancement module to construct more stable feature representation.

An apparatus for detecting inter-cylinder air-fuel ratio imbalance in an engine is provided. The apparatus includes a turbocharger, a bypass passage configured to bypass a turbine of the turbocharger, a waste gate valve configured to selectively close the bypass passage, an air-fuel ratio sensor installed in a portion of an exhaust passage which portion is located on a downstream side of a junction between a downstream side of the turbine and a downstream side of the bypass passage, and a determination unit programmed to compare a value of a degree of fluctuation in an output from the air-fuel ratio sensor or a parameter correlated therewith with a predetermined threshold to perform inter-cylinder air-fuel ratio imbalance determination. The determination unit is programmed not to perform the imbalance determination when an opening degree of the waste gate valve is equal to or higher than a predetermined reference value.

The invention provides an anomaly detection method of flight data of an unmanned aerial vehicle based on over-sampling projection approximation basis pursuit. The method introduces the signal sub-space projection approximation thought during over-sampling and signal processing and detects anomaly of dataflow by estimating and pursuit matching of base vector direction of the data projection approximation subspace after over-sampling and utilizes the feature of subspace direction insensitive to the switching of flight modes in order to inhibit influence on flight modes on the anomaly detection result. Therefore, a framework for an on-line anomaly detection method for flight data of the unmanned aerial vehicle is provided. The detection framework lowers its false drop data by over 53.82% compared with four on-line anomaly detection methods such as Online-MD, BN, CCA and KOAD during on-line anomaly detection of flight data on the condition of consuming the same Mu-s calculating time. The detection accuracy AUC is improved by over 5.28% and reaches 0.9836, close to the theoretical value of 1. The method is capable of effectively solving the problem of one-line anomaly detection of flight data.

Three light emitting elements and one light receiving element are provided on a surface of a substrate. An arithmetic processing portion of a signal processing circuit separates three reflected light signals from a light detection signal from the light receiving element. The arithmetic processing portion calculates a square sum of the difference between the entire waveforms of the reflected light signals while the reflected light signal is shifted. The arithmetic processing portion calculates a phase difference between the reflected light signals on the basis of a shift amount with which the calculated value is minimum. On the basis of similar processing, the arithmetic processing portion calculates a phase difference between the reflected light signals. The arithmetic processing portion identifies a movement direction of a detection object on the basis of the phase differences.