Abstract:
Eliminate or reduce the impact of glare in printed information tag recognition applications using single- and multi-pose external illumination coupled with intelligent processing. A shelf imager can acquire shelf images for printed information tag localization and recognition. An external illuminator can provide at least one illumination condition/pose for shelf image acquisition in addition to lighting associated with the enclosed environment. A glare region of interest (ROI) detector can analyze all or a portion of the acquired shelf images for glare to determine whether additional images need to be acquired using different illumination conditions provided by the single- or multi-pose external illuminator or whether full or portion of acquired images need to be analyzed by a printed information tag locator and recognizer. A printed information tag locator and recognizer can analyze all or a portion of the acquired images to localize and recognize data printed on the printed information tags.
Abstract:
A system to detect and maintain retail store promotional price tags (PPTs) includes a heuristic PPT description extractor module, a heuristic rule deriver module, a store shelf image acquisition system, a barcode locator and recognizer module, and a heuristic PPT classifier module. The heuristic PPT description extractor module extracts heuristic descriptions of PPTs. The heuristic rule deriver module derives a set of heuristic parameters for the PPTs. The barcode locator and recognizer module analyzes images acquired by the store shelf image acquisition system to localize and recognize barcodes. The heuristic PPT description classifier module extracts heuristic attributes from the images acquired by the store shelf image acquisition system using the set of PPT parameters supplied by the heuristic rule deriver module.
Abstract:
A system of identifying one or more fillable fields of an electronic form may include an electronic device, and a computer-readable storage medium that includes one or more programming instructions. The programming instructions are configured to instruct the electronic device to receive an electronic form, identify fillable field candidates of the electronic form, and determine, for each fillable field candidate, whether the fillable field candidate is a fillable field. The system updates metadata associated with the electronic form by applying a sequencing framework to only the fillable fields by obtaining position information for each fillable field that indicates a position of the fillable field on the document, sorting the fillable fields based on the position information to form a sequence of fillable fields, determining a designator to each fillable field that indicates a position of a corresponding fillable field in the sequence, and storing the designator.
Abstract:
Direction and speed of robotic data acquisition systems engaged in acquiring data in mapped or route-planned environments, and/or environments having reference features (e.g., shelves, walls, curbs or other structure) enabling additional guidance and control, are disclosed. A mobile base can include wheels adapted to navigate an environment. At least one sensor (e.g., imaging camera, acoustic, passive infrared, etc.) can be mounted on the mobile base and acquires data (e.g., images) of items associated with or located along fixed structures defining the pathways within the environment. A computer can control mobile base movement and orientation with respect to the at least one structure utilizing range sensors and PID controllers, track mobile base location, and organize acquired data. Range sensors under the control of the at least one computer can be adapted to control mobile base movement in a straight line and at a constant speed with respect to a fixed structure.
Abstract:
A system to detect and maintain retail store promotional price tags (PPTs) includes a heuristic PPT description extractor module, a heuristic rule deriver module, a store shelf image acquisition system, a barcode locator and recognizer module, and a heuristic PPT classifier module. The heuristic PPT description extractor module extracts heuristic descriptions of PPTs. The heuristic rule deriver module derives a set of heuristic parameters for the PPTs. The barcode locator and recognizer module analyzes images acquired by the store shelf image acquisition system to localize and recognize barcodes. The heuristic PPT description classifier module extracts heuristic attributes from the images acquired by the store shelf image acquisition system using the set of PPT parameters supplied by the heuristic rule deriver module.
Abstract:
The present disclosure relates to systems and methods for use in a retail store. An example system includes a mobile base, a printer, an image capture subsystem on the mobile base and coupled to the printer, the image capture system including at least one image capture device and at least one image processor, the image capture device configured to obtain images of items in the retail store, the image processor configured to derive item identification data from the images of items, and a control subsystem coupled to the printer and to the image capture subsystem, where the control subsystem is configured to receive information identifying items requiring signage, acquire item identification data from the image capture subsystem, determine, based on the information identifying items requiring signage and on the item identification data, items requiring signage, and to direct the printer to print signage for the items requiring signage.
Abstract:
This disclosure provides a method and system to convert a first digital representation of a document including a first format to a second digital representation of the document including a second format. According to an exemplary method, a preexisting printed assessment is scanned to produce an image file and an educational assessment analysis system captures an image area associated with a question, processes the captured image area to automatically assign metadata associated with an independent assessment creation process to the captured image area, which is subsequently processed to generate an assessment based on the assigned metadata which conforms with a format consistent with the independent assessment creation process.
Abstract:
This disclosure provides an image processing method and system for recognizing barcodes and/or product labels. According to an exemplary embodiment, the method uses a multifaceted detection process that includes both image enhancement of a candidate barcode region and other product label information associated with a candidate barcode region to identify a product label, where the candidate barcode region includes a nonreadable barcode. According to one exemplary application, a store profile is generated based on the identifications of the product labels which are associated with a location of a product within a store.