994results about How to "Prevent false detection" patented technology

A charging monitor has: a switch that is disposed between a load section having a storage battery and an external AC power supply supplying a current to the load section via a plurality of lines and interrupts the supply of the current from the external AC power supply to the load section; a current detection circuit that outputs a detection signal corresponding to a difference in level between currents flowing through the lines; a suppression circuit that suppresses a DC component contained in the detection signal; a filter circuit that filters a plurality of frequency components contained in the detection signal so that attenuation increases as a frequency becomes high; a rectifier smoothing circuit that rectifies and smoothens an output signal obtained when the detection signal passes through the filter circuit and the suppression circuit; and an electric leakage determination circuit that detects an electric leakage and shuts off the switch when the level of the signal smoothened by the rectifier smoothing circuit exceeds a preset reference level.

Systems and methods are disclosed that include automated machine vision that can utilize images of scenes captured by a 3D imaging system configured to image light within the visible light spectrum to detect water. One embodiment includes autonomously detecting water bodies within a scene including capturing at least one 3D image of a scene using a sensor system configured to detect visible light and to measure distance from points within the scene to the sensor system, and detecting water within the scene using a processor configured to detect regions within each of the at least one 3D images that possess at least one characteristic indicative of the presence of water.

A vehicle guidance system for guiding a vehicle along a magnetic marker including a first magnetic sensor having a sensing axis, the first sensor measuring a first magnetic field. A second magnetic sensor has a sensing axis, the second sensor measuring a second magnetic field. The sensing axis of the second magnetic sensor crosses the sensing axis of the first magnetic sensor at a vehicle guide point. A processor is configured to receive data representative of the magnetic field measured by the first and second sensors and to calculate a lateral offset between the guide point and the magnetic marker based upon the measured magnetic fields. A method for guiding a vehicle in response to a marker having magnetic field is also disclosed. The steps of the method include measuring magnetic field strength proximate the marker, measuring ambient magnetic field strength remote from the marker, nulling the ambient magnetic field by removing the remote magnetic field strength from the proximate magnetic field strength, calculating a lateral displacement between the vehicle and the marker using the nulled magnetic field strength, and guiding the vehicle in response to the lateral displacement between the vehicle and the marker.

A device for monitoring around a vehicle capable of detecting objects present around the vehicle based on an image captured by at least one infrared camera member provided with the vehicle. The device includes a binary object extraction unit which subjects a gray scale image of the image captured by the infrared camera member to a binary thresholding method, and extracts a binary object from the gray scale image; a gray scale object extraction unit which extracts a gray scale object, a range of the gray scale object including the binary object, from the gray scale image based on change in luminance of the gray scale image, and a pedestrian determination unit which sets a search area in an area including the gray scale object, and recognizes a pedestrian in the gray scale image based on a luminance variance in the search area.

An ink container includes an ink accommodation chamber for directly accommodating ink; a sensor portion for detecting a remaining amount of the ink in said ink accommodation chamber, wherein ambient air is introduced from an outside of said ink accommodation chamber into the ink in accordance with supplying the ink into an ink jet recording head; a division wall extended from an inner bottom portion of said ink accommodation chamber substantially upwardly, said division wall divides a space between an ambient air introducing portion which introduces the air into the ink in said ink accommodation chamber and said sensor portion to permit passage of the ink therethrough and to prevent passage, therethrough, of bubbles which are produced with introduction of the air.

The invention discloses a person number counting method and a system based on video monitoring. Based on video monitoring, the person number counting method can count the person number by detecting heads and estimating and tracking the movement of the heads, and can obviate counting error of manual counting due to the lack of energy. Because a video monitoring camera is usually arranged at a higher position and faces downwards slantwise in the monitored scene, the heads of all persons are visible basically and can be detected on a real-time basis even in a people-concentrated scene, so that the accurate counting can be achieved by continuously tracking the heads in the video, thereby obviating missing counting by manual counting in the people-concentrated scene.

The invention discloses a method and a device for detecting a microphone in a mobile terminal and a mobile terminal. The method comprises the steps of controlling an audio output device in the mobile terminal to play a preset side of ultrasonic detection signals; acquiring sound signals acquired by the microphone, and converting the sound signals into corresponding digital signals; and determining a datum threshold corresponding to the microphone, and detecting whether the microphone is abnormal or not according to the digital signals and the datum threshold. The method disclosed by the invention realizes simple detection for the microphone, error detection carried out on the microphone by a user because of being unprofessional is avoided, the user can carry out anomaly detection at any time without going to aftermarket, thereby facilitating use of the user, and improving the user experience.

Provided is a portable display device sufficiently small to be held with one hand that enters a state for accepting a gesture when a fixed coordinate position near a central portion between a left display unit (14a) and a right display unit (14b) is pressed with a thumb Ftl of one hand holding the device, and accepts a command for performing such as page flipping processing based on a gesture inputted with an index finger Ffr of the other hand. Thus, it is possible to achieve an interface for input operations suitable for a two-screen display screen, where holding a two-screen portable display device naturally causes the device to enter a command accepting state to allow gesture recognition, and to enter a command non-accepting state when the portable display device is not held, in order to prevent a command from being falsely executed due to an unintended contact and such to the display screen.

The invention discloses an image detection method and system based on a convolutional neural network, and the method comprises the following steps of collecting and obtaining a preset number of labeled sample images, and carrying out the preprocessing of the labeled sample images, and obtaining a denoised target area image with a label; performing feature extraction on each labeled target area image to obtain a 3D feature matrix of each labeled target area; training the 3D convolutional neural network weak entity detection model by using all the obtained 3D feature matrixes to obtain a trained3D convolutional neural network weak entity detection model; and performing preprocessing and feature extraction on the to-be-detected picture to obtain a 3D feature matrix of the to-be-detected picture, inputting the 3D feature matrix of the to-be-detected picture into the trained 3D convolutional neural network weak entity detection model, and outputting a detection result of the to-be-detectedpicture, so that the weak entity target detection can be completed more accurately and quickly.

An infusion pump includes a main body; a tube attachment section, in which an infusion tube is attachable; a liquid feed driving unit disposed inside the main body; an access cover mounted on the main body and configured to cover the infusion tube when the infusion tube is attached to the tube attachment section when closed; and a bubble detection unit. The bubble detection unit includes a first member disposed at the access cover and a second member disposed at the main body. The infusion pump is configured such that, when the infusion tube is attached to the tube attachment section, a first space of the infusion tube is located between the first member and the second member of the bubble detection unit a second space of the infusion tube is located downstream of the first space, and the second space is smaller than the first space.

Disclosed are a contact detection device for vehicular use and a security device for vehicular use that are capable of identifying whether contact is human-induced and that prevent erroneous detection due to raindrops and the like. A security device (10) is equipped with a contact detection device (11) comprising a contact unit (12), a detection unit (13), a standard detection pattern setting means (14) that sets standard detection patterns based on predefined patterns of human-induced contact to the contact unit, a detection signal identification means (15) that compares a detection signal detected by the detection unit (13) and the standard detection patterns that have been set and decides whether these match, and a contact identification signal output means (16), and is further equipped with a lock device (17) and a control device (18). The control device (18) comprises a security mode setting means (19) and a security mode specifying means (20) that specifies a security mode that has been predefined by the security mode setting means (19), and said control device causes the lock device (17) to execute the specified security mode.

The invention provides a target tracking method based on multi-characteristic adaptive fusion and kernelized correlation filtering technology. The method comprises steps of according to target position and the dimension of the previous frame tracking, acquiring a candidate region of target motion; extracting histogram characteristics and color characteristics in the gradient direction of the candidate region, fusing the two kinds of characteristics, carrying out Fourier transform so as to obtain a characteristic spectrum and then calculating kernelized correlation; determining the position and the dimension of the target at the current frame, and acquiring a target region; extracting histogram characteristics and color characteristics in the gradient direction of the target region, fusing the two kinds of characteristics, carrying out Fourier transform so as to obtain a characteristic spectrum and then calculating kernelized self-correlation; designing the adaptive target correlation and training a position filter model and a dimension filter model; and using a linear interpolation method to update the characteristic spectrums and the related filters. According to the invention, the discrimination capability of the models is improved; robustness of the target tracking of the target in a complex scene and the appearance change is improved; calculation complexity is reduced; and tracking timeliness is improved.

The automated detection of scene boundaries supports the user in browsing a video. Establishing the similarity between two respective frame sequences is made by choosing and comparing respective key-frames from each frame sequence, which are temporally as far apart from each other as possible but lie outside gradual transitions. Additionally or alternatively, film grammar- and probability-based taking into account of all types of transitions with respect to their separating and/or merging effect on the frame sequences surrounding the transitions and a differently weighted incorporation of the effects of the different types of transitions into uniting frame sequences k into scenes is provided. Thus, all types of transitions are incorporated in determining frame sequence boundaries as scene boundaries with a corresponding weighting, both their separating and merging effect is taken into account, and this knowledge is introduced on a probability basis into the decision in existing scene detection methods.

Abstract of the Disclosure

A vehicle surroundings monitoring apparatus that extracts a body present in the surroundings of a vehicle as an object, based on an image captured by an infrared imaging device including a binarized object extraction device that extracts a binarized object from image data obtained by binarizing a gray scale image of the image, an obstacle determination device that determines whether or not another body being an obstacle is present between the infrared imaging device and the binarized object, a height calculation device that calculates a height dimension of the binarized object based on the height dimension of the obstacle on the gray scale image when it is determined that an obstacle is present in a determination result of the obstacle determination device and an object type determination device that determines a type of the object based on the height dimension of the binarized object.

A method of detecting a direction of a target object based on received signals from a receiver element section which receives reflected waves comprising probe waves reflected from said target object, wherein said receiver section comprises an array of four receiver elements with at least three of said receiver elements located at respective apexes of a square, said square having a side length that is equal to or greater than half of a wavelength of said probe waves, includes selecting a specific one of said candidate directions based upon respective phase differences of a plurality of pairs of said receiver elements, with said plurality of pairs comprising at least one pair that differs from each of said pairs of receiver elements utilized in deriving said plurality of candidate directions, and deriving said azimuth angle and said altitude angle of said target object.

An exhaust gas purification apparatus of an engine, capable of preventing erroneous detection of an injection nozzle clogging, and having a reducing catalytic converter disposed in an exhaust system, for reducing and purifying nitrogen oxide in the exhaust gas using urea water; a urea water tank storing the urea water; a urea water supply unit sucking up the urea water from the urea water tank and mixes it with high-pressure air for delivery; and an injection nozzle injecting the urea water mixed with the high-pressure air, into an exhaust gas moving upstream side of the reducing catalytic converter in an exhaust gas passage, and further having a clogging detection unit capable of detecting clogging of the injection nozzle based on each detection output of a pressure of the air introduced into the urea water supply unit, and a temperature of the injection nozzle.

Disclosed is an object detection device capable of improving object detection accuracy by preventing erroneous combination detection. In this device, a detection object region correction unit (103) corrects a detection object region set by a detection object region set unit (102) on the basis of moving speed map information associated with a coordinate group in a reference image plane and the detected moving speed on each coordinate, which is detected by a radar. Thus, the detection object region can be amended by the use of the moving speed map information even when the detection object region is obtained as a result of erroneous combination. As a result, the object detection accuracy can be improved.