An encoded substrate to be filmed by a camera device for generating an image is provided. The encoded substrate includes a plurality of grids arranged in a form of two-dimensional array, wherein each grid includes a first pattern and a second pattern not overlapped with each other. The first pattern corresponds to a first-dimensional encoded value, and the second pattern corresponds to a second-dimensional encoded value. The image is processed by a processor for scanning the plurality of grids. In a first-dimensional direction, the processor outputs a first coordinate according to at least two first patterns corresponding to at least two consecutive grids among the plurality of grids. In a second- dimensional direction, the processor outputs a second coordinate according to at least two second patterns corresponding to at least two consecutive grids among the plurality of grids.

A collation device includes a processor configured to, by executing a program: (a) acquire a photographed image including a collation area provided on an object and a reference position area that serves as a reference for a position of the collation area; (b) detect the reference position area from the photographed image; (c) set a peripheral image area in the photographed image based on the reference position area and predetermined relative coordinates; and (d) detect the collation area in the peripheral image area.

Pointing device like mouse or joystick comprises camera for capturing the display screen and image processing means for recognizing and tracking the pointing cursor icon or mark from the captured image and producing the pointing signal. The pointing device of present invention can be used with any type of display without and additional tracking means like ultra sonic sensor, infrared sensor or touch sensor. The pointing device of present invention includes mark outputting portion, camera portion for capturing the said mark outputting portion and image processing portion for recognizing the said mark outputting portion from the captured image and producing the pointing signal.

There is provided an encoding and decoding method and an information recognition device using the same. A code block includes a center coding region and a peripheral coding region arranged around the center coding region. The encoding and decoding method uses the feature of at least one microdot included in the center coding region as codes. The encoding and decoding method uses the feature of at least one microdot included in the peripheral coding region as codes. The encoding and decoding method uses the relative feature between the center coding region and the peripheral coding region as codes. The information recognition device compares the read feature with pre-stored features to decode information such as position codes, object codes, parameter codes and control codes.

A CMOS image sensor for a code reader in an optical code recognition system incorporates a digital processing circuit that applies a calculation process to the capture image data as said data acquired by the sequential readout circuit of the sensor, in order to calculate a macro-image from the capture image data, which corresponds to location information of code(s) in the capture image, and transmit this macro-image in the image frame following the capture image data, in the footer of the frame.

Methods and systems for milling and imaging a sample based on multiple fiducials at different sample depths include forming a first fiducial on a first sample surface at a first sample depth; milling at least a portion of the sample surface to expose a second sample surface at a second sample depth; forming a second fiducial on the second sample surface; and milling at least a portion of the second sample surface to expose a third sample surface including a region of interest (ROI) at a third sample depth. The location of the ROI at the third sample depth relative to the first fiducial may be calculated based on an image of the ROI and the second fiducial as well as relative position between the first fiducial and the second fiducial.

A method for dynamically measuring deformation of a rotating-body mold, including: (S1) subjecting an overall outer surface of the rotating-body mold to three-dimensional measurement to acquire an initial point cloud data; (S2) shooting, by a multi-camera system, the mold from different angles to obtain three-dimensional coordinates of marking points and coding points on the overall outer surface of the rotating-body mold; (S3) rotating the mold, and repeatedly photographing the marking points and the coding points on the mold surface under different angle poses; and calculating three-dimensional coordinates of the marking points and the coding points; and (S4) predicting a point cloud data of the outer surface under different angle poses based on a conversion relationship among the marking points to analyze a deformation degree of the mold during a rotation process.

Systems and methods are provided for determining whether an image or location contains a barcode. The systems and methods include comparing visual data extracted from an image to target visual data. The systems and methods also include comparing different portions of captured barcode data to corresponding portions of target barcode data. The systems and methods also include utilizing barcode formatting data when comparing or computing a similarity measure. The systems and methods also include causing a second image to be captured when no match is found in a first image. The systems and methods also include identifying a target barcode from a barcode database based on spatial information about where an image was captured. The systems and methods also include validating a barcode based on different regions of the barcode from two different images of the barcode. The systems and methods also include using two barcodes captured in an image.

A pallet sled includes a pair of tines extending forward from a base. A camera is mounted on the pallet sled and is configured to record images, such as video, as the pallet sled brings pallets of items from a truck into a store. At least one processor is used to analyze the images from the pallet sled. The images are used to determine inventory levels in the store, conditions of the store, conditions of the pathways of the pallet sled. An accelerometer on the pallet sled detects hard braking and accidents.

Image acquisition and interpretation method used for articles of commerce, consisting of one or more gondolas or shelves (A) in which shelves (X) are installed, to which are added four repair marks (B, E) that, in combination with a mobile device with a photographic camera (D), will take and process images in an automated way thanks to areas designed for this purpose (C) where reference marks (F, G) are displayed, correcting the perspective deformation and cutting the image to the area delimited by the repair marks, to then send the processed images to a computer server that can index data such as quantity and details of articles, number of units of each, physical characteristics, prices, etc.