Anatoly Kotlarsky

Bio: Anatoly Kotlarsky is an academic researcher from New York City Law Department. The author has contributed to research in topics: Digital image & Image formation. The author has an hindex of 20, co-authored 139 publications receiving 2300 citations.

Hand-supportable imaging-based bar code symbol reader supporting narrow-area and wide-area modes of illumination and image capture

Abstract: A hand-supportable Digital Imaging-Based Bar Code Symbol Reading Device comprises: an IR-based Object Presence and Range Detection Subsystem; a Multi-Mode Area-type Image Formation and Detection Subsystem having narrow-area and wide area image capture modes of operation; a Multi-Mode LED-based Illumination Subsystem having narrow-area and wide area illumination modes of operation; an Automatic Light Exposure Measurement and Illumination Control Subsystem; an Image Capturing and Buffering Subsystem; a Multi-Mode Image-Processing Bar Code Symbol Reading Subsystem; an Input/Output Subsystem; a manually-activatable trigger switch; a System Mode Configuration Parameter Table; and a System Control Subsystem integrated with each of the above-described subsystems. The bar code reading device can be configured and operated in numerous programmable modes of system operation to automatically read 1D and 2D bar code symbologies in a high-speed manner using advanced modes of image processing on captured images.

Tunnel-type digital imaging-based system for use in automated self-checkout and cashier-assisted checkout operations in retail store environments

Abstract: A tunnel-type digital imaging-based system capable of generating and projecting coplanar and/or coextensive illumination and imaging planes or zones into a 3D imaging volume within a tunnel structure. The system includes a tunnel housing structure which is supported above a package conveyor in a retail environment, and employs automatic package detection, identification, profiling/dimensioning, weighing, tracking and correlating techniques during self-checkout and/or cashier-assisted operations for achieving increased levels of efficiency and productivity.

Code symbol reading system

Abstract: An optical code symbol reading system includes a housing having a light transmission aperture, and at least one sound port formed in the housing. The system includes an optical code symbol reading subsystem for optically reading a code symbol in the field external to the light transmission aperture, and generating symbol character data representative of the read code symbol. An electro-acoustic transducer is disposed in the housing for producing sonic energy. Also, an acoustic-waveguide structure is disposed in the housing, for coupling the sonic energy produced from the electro-acoustic transducer, to the at least sound wave port formed the housing, to audibly signal the reading of a code symbol to the operator of the optical code symbol reading system.

Digital image capture and processing system employing an image formation and detection system having an area-type image detection array supporting single snap-shot and periodic snap-shot modes of image acquisition during object illumination and imaging operations

Abstract: A digital image capture and processing system including a housing having an imaging window, and an image formation and detection subsystem, disposed in the housing, having an area-type image detection array supporting a single snap-shot mode of image acquisition and a periodic snap-shot mode of image acquisition during object illumination and imaging operations. The system also includes an illumination subsystem, with an illumination array, for producing a field of illumination within the FOV, and illuminating the object detected in the FOV, so that the illumination reflects off the object and is transmitted back through the light transmission aperture and onto the image detection array to form the 2D digital image of the object. By virtue of its single and periodic snap-shot modes of operation, the digital image capture and processing system of the present invention has the capacity to support pass-through as well as presentation type methods of digital image capture and processing at demanding POS environments without the use of traditional video modes of image acquisition.

Method of automatically reading code symbols on objects present within the field of view (FOV) of a hand-supportable digital-imaging based code symbol reader, by simultaneously projecting an image cropping zone (ICZ) framing pattern and a field of illumination within the FOV during object illuminationand imaging operations

Abstract: A hand-supportable digital-imaging based system for reading bar code symbols involving: automatically detecting the presence of an object within a field of view FOV of the system, and in response thereto, automatically generating an image cropping zone (ICZ) framing pattern and projecting the ICZ framing pattern within the FOV and onto the detected object; visually aligning the code symbol on the detected object, within the ICZ framing pattern; manually actuating a trigger switch when the code symbol on the object is located within the ICZ framing pattern, and while the ICZ framing pattern and a field of illumination are being simultaneously projected onto the object during object illumination operations, forming and capturing a digital image of the code symbol on the detected object; automatically cropping the image pixels contained within the spatial boundaries of the ICZ framing pattern, from the pixels of the digital image; and decode processing the cropped image so as to read one or more 1D and/or 2D code symbols graphically represented therein.

Methods and Systems for Content Processing

Abstract: Cell phones and other portable devices are equipped with a variety of technologies by which existing functionality can be improved, and new functionality can be provided. Some relate to visual search capabilities, and determining appropriate actions responsive to different image inputs. Others relate to processing of image data. Still others concern metadata generation, processing, and representation. Yet others relate to coping with fixed focus limitations of cell phone cameras, e.g., in reading digital watermark data. Still others concern user interface improvements. A great number of other features and arrangements are also detailed.

Intelligent Automated Assistant

Abstract: An intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions. The system can be implemented using any of a number of different platforms, such as the web, email, smartphone, and the like, or any combination thereof. In one embodiment, the system is based on sets of interrelated domains and tasks, and employs additional functionally powered by external services with which the system can interact.

Intuitive computing methods and systems

Abstract: A smart phone senses audio, imagery, and/or other stimulus from a user's environment, and acts autonomously to fulfill inferred or anticipated user desires. In one aspect, the detailed technology concerns phone-based cognition of a scene viewed by the phone's camera. The image processing tasks applied to the scene can be selected from among various alternatives by reference to resource costs, resource constraints, other stimulus information (e.g., audio), task substitutability, etc. The phone can apply more or less resources to an image processing task depending on how successfully the task is proceeding, or based on the user's apparent interest in the task. In some arrangements, data may be referred to the cloud for analysis, or for gleaning. Cognition, and identification of appropriate device response(s), can be aided by collateral information, such as context. A great number of other features and arrangements are also detailed.

Using context information to facilitate processing of commands in a virtual assistant

Abstract: A virtual assistant uses context information to supplement natural language or gestural input from a user. Context helps to clarify the user's intent and to reduce the number of candidate interpretations of the user's input, and reduces the need for the user to provide excessive clarification input. Context can include any available information that is usable by the assistant to supplement explicit user input to constrain an information-processing problem and/or to personalize results. Context can be used to constrain solutions during various phases of processing, including, for example, speech recognition, natural language processing, task flow processing, and dialog generation.

Methods and arrangements for identifying objects

Abstract: In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. A great variety of other features and arrangements are also detailed.