Product
Patsnap Eureka
For R&D, Patsnap Eureka makes reading and utilizing patents & technical documents easy.
Patsnap Eureka AIR
Designed for self-driven R&D workflows. Generate viable solutions, solve complex R&D challenges, empower your innovation with AI.
Patsnap Eureka Materials
Designed for material experts only. Revolutionize your material R&D, from search, analyze, to developing new materials.
Feature
TechResearch
Generate reliable direction feasibility study reports for your R&D in just a few steps.
TechSeek
Discover and master advanced knowledge NOW. Basics, ideas, possibilities, all at once.
TechMind
As an expert in R&D Theories, TechMind can generates customized viable solutions instantly.
TechRisk
Analyze your overall solution with one click, know your potential R&D risks in advance.
TechMonitor
Get weekly tech updates, stay abreast of the latest tech innovations and key insights.
Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
7274 results about "Object detection" patented technology
Efficacy Topic
Property
Owner
Technical Advancement
Application Domain
Technology Topic
Technology Field Word
Patent Country/Region
Patent Type
Patent Status
Application Year
Inventor
Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. Well-researched domains of object detection include face detection and pedestrian detection. Object detection has applications in many areas of computer vision, including image retrieval and video surveillance.
Object detection system for vehicle
ActiveUS7720580B2Reduce processing requirementsReduce the possibilityTelevision system detailsDigital data processing detailsData setSteering angle
An imaging system for a vehicle includes an imaging array sensor and a control. The image array sensor comprises a plurality of photo-sensing pixels and is positioned at the vehicle with a field of view exteriorly of the vehicle. The imaging array sensor is operable to capture an image of a scene occurring exteriorly of the vehicle. The captured image comprises an image data set representative of the exterior scene. The control algorithmically processes the image data set to a reduced image data set of the image data set. The control processes the reduced image data set to extract information from the reduced image data set. The control selects the reduced image data set based on a steering angle of the vehicle.
Owner:MAGNA ELECTRONICS
Object matching for tracking, indexing, and search
A camera system comprises an image capturing device, object detection module, object tracking module, and match classifier. The object detection module receives image data and detects objects appearing in one or more of the images. The object tracking module temporally associates instances of a first object detected in a first group of the images. The first object has a first signature representing features of the first object. The match classifier matches object instances by analyzing data derived from the first signature of the first object and a second signature of a second object detected in a second image. The second signature represents features of the second object derived from the second image. The match classifier determine whether the second signature matches the first signature. A training process automatically configures the match classifier using a set of possible object features.
Owner:MOTOROLA SOLUTIONS INC
Object recognition apparatus and method
InactiveUS6285393B1Image analysisDigital data processing detailsLocation detectionComputer graphics (images)
An object recognition apparatus that can recognize an object in an image acquired by an on-vehicle camera mounted on a vehicle with high efficiency and accuracy. A recognition processing is carried out in a cut off range, which is cut off from the image, and in which an object to be recognized is supposed to be present. The cut off range is obtained using support information supplied from a position detection device and / or an anti-lock brake device of the vehicle. Since the object in the image changes its position as the vehicle moves, the displacement must be estimated during the object recognition. The estimation requires camera attitude parameters of the on-vehicle camera with respect to the road, and the estimation is performed using support information supplied from the position detection device and / of the anti-lock brake device. This will improve the efficiency and accuracy of obtaining the camera attitude parameters.
Owner:TOYOTA JIDOSHA KK
Waveform adaptive ultra-wideband transmitter
A waveform adaptive transmitter that conditions and / or modulates the phase, frequency, bandwidth, amplitude and / or attenuation of ultra-wideband (UWB) pulses. The transmitter confines or band-limits UWB signals within spectral limits for use in communication, positioning, and / or radar applications. One embodiment comprises a low-level UWB source (e.g., an impulse generator or time-gated oscillator (fixed or voltage-controlled)), a waveform adapter (e.g., digital or analog filter, pulse shaper, and / or voltage variable attenuator), a power amplifier, and an antenna to radiate a band-limited and / or modulated UWB or wideband signals. In a special case where the oscillator has zero frequency and outputs a DC bias, a low-level impulse generator impulse-excites a bandpass filter to produce an UWB signal having an adjustable center frequency and desired bandwidth based on a characteristic of the filter. In another embodiment, a low-level impulse signal is approximated by a time-gated continuous-wave oscillator to produce an extremely wide bandwidth pulse with deterministic center frequency and bandwidth characteristics. The UWB signal may be modulated to carry multi-megabit per second digital data, or may be used in object detection or for ranging applications. Activation of the power amplifier may be time-gated in cadence with the UWB source thereby to reduce inter-pulse power consumption. The UWB transmitter is capable of extremely high pulse repetition frequencies (PRFs) and data rates in the hundreds of megabits per second or more, frequency agility on a pulse-to-pulse basis allowing frequency hopping if desired, and extensibility from below HF to millimeter wave frequencies.
Owner:ZEBRA TECH CORP
Combined Vehicle-to-Vehicle Communication and Object Detection Sensing
ActiveUS20100198513A1Expand the scope of monitoringIncrease rangeArrangements for variable traffic instructionsDetection of traffic movementObject detectionCollections data
A vehicle awareness system for monitoring remote vehicles relative to a host vehicle. The vehicle awareness system includes at least one object sensing device and a vehicle-to-vehicle communication device. A data collection module is provided for obtaining a sensor object data map and vehicle-to-vehicle object data map. A fusion module merges the sensor object data map and vehicle-to-vehicle object data map for generating a cumulative object data map. A tracking module estimates the relative position of the remote vehicles to the host vehicle.
Owner:GM GLOBAL TECH OPERATIONS LLC
Safety device for a vehicle
ActiveUS7607509B2Low imageObject detectionBelt control systemsPedestrian/occupant safety arrangement3d cameraObject detection
Owner:IEE INT ELECTRONICS & ENG SA
Method and System for Anatomical Object Detection Using Marginal Space Deep Neural Networks
ActiveUS20160174902A1Add dimensionUltrasonic/sonic/infrasonic diagnosticsImage enhancementMachine learningObject detection
A method and system for anatomical object detection using marginal space deep neural networks is disclosed. The pose parameter space for an anatomical object is divided into a series of marginal search spaces with increasing dimensionality. A respective sparse deep neural network is trained for each of the marginal search spaces, resulting in a series of trained sparse deep neural networks. Each of the trained sparse deep neural networks is trained by injecting sparsity into a deep neural network by removing filter weights of the deep neural network.
Owner:SIEMENS HEALTHCARE GMBH
Object detection system
InactiveUS6624752B2Memory record carrier reading problemsCo-operative working arrangementsThe InternetComputer terminal
Owner:BLUELON
Foreign object detection in wireless energy transfer systems
ActiveUS20130069441A1Improve detection rateNear-field transmissionElectromagnetic wave systemEnergy transferForeign object
A wireless energy transfer system includes a foreign object debris detection system. The system includes at least one wireless energy transfer source configured to generate an oscillating magnetic field. The foreign object debris may be detected by at least one field gradiometer positioned in the oscillating magnetic field. The voltage of the at least one field gradiometer may be measured using readout circuitry and a feedback loop based on the readings from the gradiometers may be used to control the parameters of the wireless energy source.
Owner:WITRICITY CORP
Object detection system for vehicle
ActiveUS20060184297A1Reduce processing requirementsReduce the possibilityTelevision system detailsDigital data processing detailsData setSteering angle
An imaging system for a vehicle includes an imaging array sensor and a control. The image array sensor comprises a plurality of photo-sensing pixels and is positioned at the vehicle with a field of view exteriorly of the vehicle. The imaging array sensor is operable to capture an image of a scene occurring exteriorly of the vehicle. The captured image comprises an image data set representative of the exterior scene. The control algorithmically processes the image data set to a reduced image data set of the image data set. The control processes the reduced image data set to extract information from the reduced image data set. The control selects the reduced image data set based on a steering angle of the vehicle.
Owner:MAGNA ELECTRONICS
Ultra wideband data transmission system and method
InactiveUS6690741B1Amplitude-modulated carrier systemsAngle modulationBandpass filteringExtensibility
Owner:ZEBRA TECH CORP
Trailer based collision warning system and method
InactiveUS6933837B2Low costReduced portabilityAnti-collision systemsColor television detailsDisplay deviceEngineering
A trailer based collision warning system includes one or more side object detection sensors, one or more backup assist sensors, a driver vehicle interface, and trailer-mounted display units operating essentially independent of the tractor with all detection and warning system equipment mounted on the trailer. The trailer based collision warning system is coupled to industry-standard tractor to trailer wiring to provide the trailer with power and signals such as left turn indication and right turn indication. The side and rear sensors detect the presence and location of objects and transfer this information to a driver vehicle interface device located on the trailer. The system can also be equipped with video cameras with a means of automatically activating the camera in the area where a hazard condition has been detected. The driver vehicle interface determines the nature of the information and / or warning needed by the driver and provides this information in the form of signals sent to displays that can to assist the driver in safely maneuvering the trailer. The collision warning system can also operate in a security mode.
Owner:ALTRA TECH
Modifying behavior of autonomous vehicles based on sensor blind spots and limitations
ActiveUS20140214255A1External condition input parametersPosition/course control in two dimensionsSensor observationField of view
Aspects of the present disclosure relate generally to modeling a vehicle's view of its environment. This view need not include what objects or features the vehicle is actually seeing, but rather those areas that the vehicle is able to observe using its sensors if the sensors were completely un-occluded. For example, for each of a plurality of sensors of the object detection component, a computer may an individual 3D model of that sensor's field of view. Weather information is received and used to adjust one or more of the models. After this adjusting, the models may be aggregated into a comprehensive 3D model. The comprehensive model may be combined with detailed map information indicating the probability of detecting objects at different locations. A model of the vehicle's environment may be computed based on the combined comprehensive 3D model and detailed map information and may be used to maneuver the vehicle.
Owner:WAYMO LLC
Video surveillance system with object detection and probability scoring based on object class
A video surveillance system uses rule-based reasoning and multiple-hypothesis scoring to detect predefined behaviors based on movement through zone patterns. Trajectory hypothesis spawning allows for trajectory splitting and / or merging and includes local pruning to managed hypothesis growth. Hypotheses are scored based on a number of criteria, illustratively including at least one non-spatial parameter. Connection probabilities computed during the hypothesis spawning process are based on a number of criteria, illustratively including object size. Object detection and probability scoring is illustratively based on object class.
Owner:AXIS
Method and system for anatomical object detection using marginal space deep neural networks
ActiveUS20150238148A1Add dimensionUltrasonic/sonic/infrasonic diagnosticsImage enhancementHypothesisPostural orientation
A method and system for anatomical object detection using marginal space deep neural networks is disclosed. The pose parameter space for an anatomical object is divided into a series of marginal search spaces with increasing dimensionality. A respective deep neural network is trained for each of the marginal search spaces, resulting in a series of trained deep neural networks. Each of the trained deep neural networks can evaluate hypotheses in a current parameter space using discriminative classification or a regression function. An anatomical object is detected in a medical image by sequentially applying the series of trained deep neural networks to the medical image.
Owner:SIEMENS HEALTHCARE GMBH
Automatic range adjustment techniques for stand-mountable bar code scanners
By automatically adjusting the object detection mechanism of a bar code scanner from a long range mode of operation to a short range mode of operation, the scanner will remain capable of detecting and decoding bar codes even if the object detection mechanism repeatedly detects the presence of a background object. The techniques of the present invention commence when the bar code scanner is placed in a position such that the scanner's object detection mechanism repeatedly detects a background object such as a counter top or conveyer belt. The object detection mechanism is set to the long range mode of operation if it is not already so set. In the case of a stand-mounted scanner, a test is performed to ascertain whether or not the scanner is in its stand, and the method will only proceed once the scanner is resting in the stand. Next, the scanner is programmed to wait for a predetermined amount of time, after which the operational mode of the object detection mechanism is changed from the long range mode to the short range mode. At this time, the object detection mechanism no longer detects the presence of the background object. The scanner will now detect any new objects that enter the field of view of the object detection mechanism, and attempt to read any bar codes which may be present
Owner:METROLOGIC INSTR
Systems and methods for analyzing remote sensing imagery
ActiveUS20170076438A1Image enhancementTelevision system detailsTransformation parameterRemote sensing
Disclosed systems and methods relate to remote sensing, deep learning, and object detection. Some embodiments relate to machine learning for object detection, which includes, for example, identifying a class of pixel in a target image and generating a label image based on a parameter set. Other embodiments relate to machine learning for geometry extraction, which includes, for example, determining heights of one or more regions in a target image and determining a geometric object property in a target image. Yet other embodiments relate to machine learning for alignment, which includes, for example, aligning images via direct or indirect estimation of transformation parameters.
Owner:CAPE ANALYTICS INC
Adaptive vehicle communication controlled lighting system
ActiveUS7541743B2Output maximizationInterference minimizationVehicle headlampsOptical signallingLight beamEngineering
A vehicle safety system (10) includes a light source (32). A beam-forming assembly (34) is optically coupled to the light source (32). An object detection sensor (16) detects an object and generates an object detection signal. A controller (18) is coupled to the beam-forming assembly (34) and the object detection sensor (16). The controller (18) adjusts illumination output of the vehicle safety system (10) in response to the object detection signal.
Owner:FORD GLOBAL TECH LLC
Proximity interface apparatuses, systems, and methods
In certain exemplary embodiments, data representative of a proximity heuristic specifying a plurality of levels of an object detection zone associated with a display screen is maintained, an object is detected within the object detection zone, one of the levels is selected based on at least one attribute of the object, and an action associated with the selected level is performed. In certain examples, the action includes modifying a graphical user interface view displayed on the display screen.
Owner:VERIZON PATENT & LICENSING INC
Method of mitigating driver distraction
ActiveUS7835834B2Reduce distractionsDigital data processing detailsAcquiring/recognising eyesDriver/operatorIn vehicle
Owner:APTIV TECH LTD
Method and system for determining image orientation
A method for determining the orientation of a digital image, includes the steps of: employing a semantic object detection method to detect the presence and orientation of a semantic object; employing a scene layout detection method to detect the orientation of a scene layout; and employing an arbitration method to produce an estimate of the image orientation from the orientation of the detected semantic object and the detected orientation of the scene layout.
Owner:MONUMENT PEAK VENTURES LLC
Apparatus, method and program for moving object detection
ActiveUS20050147277A1Improve accuracyEasy determine symmetryImage enhancementImage analysisObject motionVideo image
The present invention detects a moving object by generating the distance information of the moving object, detecting the object motion, determining the object distance, detecting the object image area and the object contour from the video image that includes the object image and contour, and provides a moving object detection apparatus to carry out such detection as well as detecting a contour of the specific moving object by detecting the center of the moving object in high precision.
Owner:HONDA MOTOR CO LTD
Learning efficient object detection models with knowledge distillation
InactiveUS20180268292A1Character and pattern recognitionNeural learning methodsObject ClassDistillation
A computer-implemented method executed by at least one processor for training fast models for real-time object detection with knowledge transfer is presented. The method includes employing a Faster Region-based Convolutional Neural Network (R-CNN) as an objection detection framework for performing the real-time object detection, inputting a plurality of images into the Faster R-CNN, and training the Faster R-CNN by learning a student model from a teacher model by employing a weighted cross-entropy loss layer for classification accounting for an imbalance between background classes and object classes, employing a boundary loss layer to enable transfer of knowledge of bounding box regression from the teacher model to the student model, and employing a confidence-weighted binary activation loss layer to train intermediate layers of the student model to achieve similar distribution of neurons as achieved by the teacher model.
Owner:NEC LAB AMERICA
Method for correction of relative object-detector motion between successive views
Registration correction for optical tomographic imaging in three dimensions. An object of interest is illuminated to produce an image. A lateral offset correction value is determined for the image. An axial offset correction value is determined for the image. The lateral offset correction value and the axial offset correction value are applied to the image to produce a corrected file image.
Owner:VISIONGATE
Electric field proximity keyboards and detection systems
ActiveUS7145552B2High resolutionReduce complexityInput/output for user-computer interactionElectronic switchingDetector circuitsImage resolution
Owner:SOLECTRON
Interruption free navigator
InactiveUS20060287824A1Improve accuracyAccurate dataNavigational calculation instrumentsPosition fixationDisplay devicePerson location
An interruption free navigator includes an inertial measurement unit, a north finder, a velocity producer, a positioning assistant, a navigation processor, an altitude measurement, an object detection system, a wireless communication device, and a display device and map database. Output signals of the inertial measurement unit, the velocity producer, the positioning assistant, the altitude measurement, the object detection system, and the north finder are processed to obtain highly accurate position measurements of the person. The user's position information can be exchanged with other users through the wireless communication device, and the location and surrounding information can be displayed on the display device by accessing a map database with the person position information.
Owner:AMERICAN GNC
Object detection system and object detection method
ActiveUS7417580B2Easy to organizeImprove detection accuracyPedestrian/occupant safety arrangementOptical detectionObject basedImage detection
Owner:TOYOTA JIDOSHA KK
Apparatus and methods for temporally proximate object recognition
InactiveUS20120308076A1Character and pattern recognitionNeural architecturesTransmission channelObject detection
Object recognition apparatus and methods useful for extracting information from an input signal. In one embodiment, the input signal is representative of an element of an image, and the extracted information is encoded into patterns of pulses. The patterns of pulses are directed via transmission channels to a plurality of detector nodes configured to generate an output pulse upon detecting an object of interest. Upon detecting a particular object, a given detector node elevates its sensitivity to that particular object when processing subsequent inputs. In one implementation, one or more of the detector nodes are also configured to prevent adjacent detector nodes from generating detection signals in response to the same object representation. The object recognition apparatus modulates properties of the transmission channels by promoting contributions from channels carrying information used in object recognition.
Owner:BRAIN CORP
User interface for displaying object-based indications in an autonomous driving system
ActiveUS8676431B1Digital data processing detailsAnti-collision systemsObject basedComputer graphics (images)
A vehicle has a plurality of control apparatuses, a user input, a geographic position component, an object detection apparatus, memory, and a display. A processor is also included and is programmed to receive the destination information, identify a route, and determine the current geographic location of the vehicle. The processor is also programmed to identify an object and object type based on object information received from the object detection apparatus and to determine at least one warning characteristic of the identified object based on at least one of: the object type, a detected proximity of the detected object to the vehicle, the location of the detected object relative to predetermined peripheral areas of the vehicle, the current geographic location of the vehicle, and the route. The processor is also configured to select and display on the display an object warning image based on the at least one warning characteristic.
Owner:WAYMO LLC
Holographic fingerprint device
InactiveUS6061463AIncrease contrastLittle and no aberration and distortionCharacter and pattern recognitionImage detectionIntensity modulation
PCT No. PCT / US95 / 02155 Sec. 371 Date Dec. 22, 1997 Sec. 102(e) Date Dec. 22, 1997 PCT Filed Feb. 21, 1995 PCT Pub. No. WO95 / 22804 PCT Pub. Date Aug. 24, 1995A method and ultra-compact system has been developed for illuminating and detecting the surface topography of an object such as the finger (4) of an individual. The system (8) is capable of producing high-contrast images which can be electronically transmitted in real-time, or stored using electronic or photographic recording devices. Light traveling within a light transmitting substrate (2) is redirected by a slanted-fringed light diffractive grating preferably embodied within a volume hologram (3). The volume hologram (3), either of the reflection or transmission type, is attached to the light transmitting substrate (2). and functions to diffract light striking thereupon and illuminate an object having topographical surface structure. After being spatially and intensity modulated in accordance with topographical details of the illuminated object, the insulated light passes back through the light transmitting substrate (2) and the volume hologram (3), onto an image detection array. for subsequent analysis. Each of the disclosed embodiments has a compact geometry suitable for use in diverse object identification applications.
Owner:KREMEN MR STANLEY H
Who we serve
- R&D Engineer
- R&D Manager
- IP Professional
Why Patsnap Eureka
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com