Honeywell International Inc.

Honeywell G.m.b.h.

Jan Jelinek

Thomas L Phinney

Scott McCloskey

Kwong Wing Au

Sharath Venkatesha

Gary Edward Determan

Vincent Clarence Jacobson

Michael L Rhodes

Henry Chen

Philip Zumsteg

Saad J Bedros

Vladimir Havlena

Valerie Guralnik

Rand P Whillock

Vit Libal

Vicraj T Thomas

Michelle Raymond

Terry Ahrens

Vipin Gopal

Rida M Hamza

Anoop Kumar Mathur

Tariq Samad

Kartik B Ariyur

Jian Geng Du

Peter David Koudelka

Lubomir Koudelka

George A Kilgore

Alan L Haggerty

Daniel Blitz

Ryan Eckman

Josef Hor&aacute;k

Josef Horak

Systems and methods for increasing an efficiency of an operator of a security system are discussed generally herein. A system can include a memory including ontology data saved thereon, the ontology data can define interrelationships between a scanner associated with access to a room of an area under surveillance, a camera with a field of view at least partially overlapping a footprint of the room, an identifier configured to be scanned by the scanner and associated with a person, and a security policy including one or more predefined conditions, which when satisfied, indicate when a security threat exists, the security policy includes a response an operator can perform if the conditions are satisfied, and the system can include a query module configured to receive a query and search the ontology data and temporal and spatial data associated with the area under surveillance in response to receiving the query.

Security system operator efficiency

Methods, devices, and computer-readable media for determining a deployment of an access control system are described herein. One method includes extracting a plurality of two-dimensional spaces from a building information model of a facility, determining a plurality of connections between the plurality of spaces, defining a zone of the facility, wherein the zone includes a subset of the plurality of spaces and a subset of the plurality of connections between the spaces, and associating an access reader with a particular connection of the subset of the plurality of connections located on a boundary of the zone.

Determining a deployment of an access control system

A method, system and computer-usable medium for determining shutter fluttering sequence. The disclosed approach is based on the use of shutter flutter technology, which means that an image can be acquired in such a manner as to encode all information about the moving subject. The disclosed approach involves determining a shutter's fluttering pattern that optimally encodes information at all frequencies. The disclosed approach involves an optimization method for finding a shutter fluttering pattern that has several desired properties. These properties can be expressed in the context of a fitness function: given a fluttering pattern and the target subject's velocity, it produces the equivalent Modulation Transfer Function (MTF), measures three attributes, and produces a fitness score. These attributes are the minimum contrast, the variance in contrast across spatial frequencies, and the mean contrast. The objective of the disclosed approach is to determine the fluttering pattern that maximizes the fitness score.

Method and system for determining shutter fluttering sequence

A system receives an iris image and segments the iris region. The segmented iris region is mapped to a unit disk and partitioned into local iris regions (or sectors) as a function of the radius and angle The system calculates localized Zernike moments for a plurality of regions of the unit disk. The localized Zernike moment includes a projection of the local iris region into a space of Zernike polynomial orthogonal basis functions. The system generates an iris feature set from the localized Zernike moments for each partitioned region, excluding the regions which are comprised by occlusion. The iris features are weighted based on the conditions of blur, gaze and occlusion of the iris region. A probe iris image is then matched to a plurality of iris images in a database based on the distance of its feature set to the corresponding plurality of iris feature sets.

Iris recognition using localized Zernike moments

According to one example embodiment, a process and system include a camera used to capture a sequence of illuminated images of an subject, wherein the images are stored in frames. The focus point is changed for each image captured so that the focus point sweeps from a far to a near end of a sweep range, in discrete steps or continuous motion, so that successive images have slightly overlapping depths of field. The sweep range and overlapping depths of field provide that at least one image is well focused on the iris of the eye of the subject. In one other example embodiment, one or more of the images are illumined with a illumination fired for a respective captured image. In another embodiment, the sweep range is determined at least in part using a range finder or is otherwise controlled to determine a position of the subject so that the sweep range starts and stops a desired distance in front of and behind the subject, respectively.

Method and system for iris image capture

A feature-based method and system for blur estimation in eye images. A blur estimation can be performed from eye/iris images in order to produce de-blurred images that are more useful for biometric identification. The eye/iris region, in particular the edge between the iris and pupil regions, can be utilized. The pattern of shutter motion or a characterization of the optical system can be utilized. By capturing a burst of images, or a video stream, one can use eye position in the images before and after a given capture to predict the motion of the eye within that capture. Because the before/after image frames need only contain the information necessary to locate the eye, and need not contain sufficient information to perform matching, the capture of these images can be accomplished with a wider range of settings.

Feature-based method and system for blur estimation in eye images

A flashless image acquisition system that includes a tandem imaging device having a tandem field of view and comprising a velocity vector estimate imaging device coupled to an object imaging device; and a peripheral imaging device having a peripheral field of view wider than the tandem field of view and configured to acquire real-time information related to positions of a moving object, wherein the real-time information is provided to the tandem imaging device, further wherein the velocity vector estimate imaging device is configured to provide in-exposure velocity vector estimates to control the object imaging device is described.

Flashless motion invariant image acquisition system

The present disclosure includes motion blur modeling methods and systems for image formation. One motion blur modeling method for image formation includes obtaining image data utilized to form a particular image taken by a camera of a subject, obtaining velocity vector data for the subject at the time the image was taken, defining a convolution kernel for use formation of the particular image and based upon the velocity vector data, and applying the convolution kernel to the image data to produce a de-blurred set of image data utilized to form the particular image.

Motion blur modeling for image formation

Image stabilization devices, methods, and systems are described herein. One image stabilization device includes a sensor having an array of pixels, wherein the sensor is configured to track a moving object using a number of the pixels, wherein the number of the pixels track only a particular portion of the moving object, and form an image of the moving object using the number of the pixels and their neighboring pixels that were not used to track the moving object.

Image stabilization devices, methods, and systems

Image acquisition systems are described herein. One image acquisition system includes an image recording device configured to determine and record a tracking error associated with a raw image of a moving subject, and a computing device configured to deblur the raw image using the tracking error.

System and method for tracking a subject using raw images and tracking errors

A system using face and iris image capture for recognition of people. The system may have wide field-of-view, medium field-of-view and narrow field-of-view cameras to capture images of a scene of people, faces and irises for processing and recognition. Matching of the face and iris images with images of a database may be a basis for recognition and identification of a subject person.

Combined face and iris recognition system

A hand held matrix code scanner includes an orthogonal transfer charge-coupled device (OTCCD), a controller coupled to the OTCCD, and a sensor coupled to the controller. The sensor senses movement of the scanner The controller is configured to move a first location of the OTCCD array to a second location as a function of data from the sensor to compensate for the device motion during image exposure.

Matrix code scanner with orthogonal transfer charge-coupled device

An image acquisition system that includes a first image recording device that records a series of images of a subject. A lateral velocity vector estimator receives the series of images from the first image recording device and estimates the lateral velocity vectors of the subject relative to the image acquisition system. The image acquisition system further includes a second image recording device that includes an orthogonal transfer CCD sensing element which records a target image of the subject. The orthogonal transfer CCD sensing element includes an array of pixels. A control adjusts the array of pixels within the orthogonal transfer CCD sensing element based on the lateral velocity vector estimates provided by the lateral velocity estimator.

Image acquisition system using orthogonal transfer CCD sensing element

An apparatus includes a video sensing device, a velocity vector estimator (VVE) coupled to the video sensing device, a controller coupled to the velocity vector estimator, and an orthogonal transfer charge-coupled device (OTCCD) coupled to the controller. The video sensing device transmits a plurality of image frames to the velocity vector estimator. The controller receives a location of an object in a current frame, stores locations of the object in one or more previous frames, predicts a motion trajectory and the predicted location of the object on it in a subsequent frame as a function of the locations of the object in the current frame and the one or more previous frames, and transmits the predicted location of the object to the OTCCD. The OTCCD shifts its image array of pixels as a function of the predicted location of the object.

Controller for an image stabilizing orthogonal transfer charge-coupled device

A method, system and computer-usable medium for determining an optimal shutter fluttering sequence. The disclosed approach is based on the use of shutter flutter technology, which means that an image can be acquired in such a manner as to encode all information about the moving subject. The disclosed approach involves determining a shutter's fluttering pattern that optimally encodes information at all frequencies. The disclosed approach involves an optimization method for finding a shutter fluttering pattern that maximizes the minimum value of a function defining the plurality of flutter shutter sequences over a frequency domain. The disclosed approach involves eliminating all flutter shutter sequences that contain lost frequencies. The objective of the disclosed approach is to select an optimal flutter shutter sequence for implementation with a flutter shutter camera.

Growing community of inventors

Plymouth, MN, United States of America

Jan Jelinek