Abstract:
A hand-supportable semi-automatic digital imaging-based bar code symbol reading system comprises: an automatic object presence detection subsystem; a multi-mode 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-actuatable trigger switch; and a system control subsystem for controlling the subsystems. The digital imaging-based bar code reading system employs a three-tier modular software architecture for carrying out its image-processing based bar code symbol reading operations. The three-tier software architecture comprises an application layer, a system core layer, and an operating system (OS) layer.
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; and a system control subsystem integrated with each of the above-described subsystems. The multi-mode image-processing based bar code reading subsystem has a modular image-processing architecture constructed from four major image processing modules, namely: a tracker module, a finder module, a marker module, and a decoder module. These image processing modules enable the multiple modes of operation of the multi-mode image-processing based bar code reading subsystem.
Abstract:
A hand-supportable digital imaging-based bar code symbol reader comprises: an automatic object presence 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 independently controllable LED illumination arrays; an automatic light exposure measurement and illumination control subsystem; an image capturing and buffering subsystem; an image-processing bar code symbol reading subsystem; an input/output subsystem; and a system control subsystem for controlling the subsystems. The hand-supportable imaging-based bar code reader employs a method of intelligently illuminating objects during image capture, wherein the LED illumination arrays are independently controlled during particular moments of object illumination to generate digital images of objects which, through digital image analysis, are determined to be substantially free of noise (i.e. intense spatial intensity variations) caused by specular-type reflection of illumination off objects during illumination and imaging operations.
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; and a system control subsystem integrated with each of the above-described subsystems. The digital imaging-based bar code reading device employs a multi-mode bar code symbol reading image processor that is dynamically reconfigurable in response to real-time image analysis carried out upon captured narrow and wide area images.
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 digital imaging-based bar code reading device supports narrow-area and wide-area modes of illumination and image capture, and can be configured and operated in numerous programmable modes of system operation to automatically read 1D and 2D bar code symbologiis in a high-speed manner.
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.
Abstract:
A method of and system for automatically cropping linear images of a moving object is disclosed. The method comprises automatically capturing a linear range and intensity data map from an object moving with respect to a coordinate reference system. The linear range and intensity data map includes a sequence of data sets taken along a sequence of sample points along the moving object. Each data set includes a set of coordinates specifying the location of the sample point and an intensity value specifying the intensity of light reflected from the moving object at the sample point. The intensity values in the linear range and intensity data map are automatically analyzed so as to determine the coordinates associated with a region of interest (ROI) on the moving object bearing object identifying information (e.g. bar code symbol, textual information, graphics, etc.) A linear image of the object moving within the coordinate reference is automatically captured. The coordinates of the region of interest (ROI) are automatically converted into a set of pixel indices corresponding to the region of interest (ROI) present in the linear image. The set of pixel indices and the linear image are then used to automatically produce a cropped linear image of the moving object. Cropped linear images can be buffered to produce two-dimensional images of the moving object, and then the two-dimensional image can be processed using image-based bar code decoding and/or OCR operators. By virtue of the present invention, it is now possible to crop linear images prior to image processing, on a linear image by linear image basis, thereby substantially reducing the amount of image data that requires image processing. By reducing image data through the cropping operations of the present invention, significant computational savings is achieved.
Abstract:
A fully automated package identification and measuring system, in which an omni-directional holographic scanning tunnel is used to read bar codes on packages entering the tunnel, while a package dimensioning subsystem is used to capture information about the package prior to entry into the tunnel. Mathematical models are created on a real-time basis for the geometry of the package and the position of the laser scanning beam used to read the bar code symbol thereon. The mathematical models are analyzed to determine if collected and queued package identification data is spatially and/or temporally correlated with package measurement data using vector-based ray-tracing methods, homogeneous transformations, and object-oriented decision logic so as to enable simultaneous tracking of multiple packages being transported through the scanning tunnel.
Abstract:
The present invention provides a novel polypeptide, I.kappa.B-.beta., which binds to and affects NF-.kappa.B gene activation. Also provided is the nucleotide sequence encoding I.kappa.B-.beta. and methods of identifying compositions which affect I.kappa.B-.beta./NF-.kappa.B complexes. Methods of treatment of disorders associated with NF-.kappa.B induced gene activation are also described herein.
Abstract:
The present invention provides a novel polypeptide, I.kappa.B-.beta., which binds to and affects NF-.kappa.B gene activation. Also provided is the nucleotide sequence encoding I.kappa.B-.beta. and methods of identifying compositions which affect I.kappa.B-.beta..backslash.NF-.kappa.B complexes. Methods of treatment of disorders associated with NF-.kappa.B induced gene activation are also described herein.