A source image having a bit depth greater than eight is captured from a moving target. The source image is processed to obtain a plurality of target images each having a bit depth of eight. A memory stores the 8-bit target images. A processor obtains statistical data about the source image, and selects one of the stored 8-bit target images based on the statistical data. A controller efficiently decodes only the selected 8-bit target image.

Implementations relate to a device and method for barcode scanning and dimensioning. In some implementations, the method includes acquiring a two-dimensional (2D) preview image of an object, and processing the 2D preview image to determine one or more dark areas and to determine a location of a code on the object. The method also includes acquiring a three-dimensional (3D) image of the object based on the one or more dark areas, and processing the 3D image to determine depth data and to determine dimensions of the object. The method also includes acquiring a 2D data capture image of the object based on the depth data in the processed 3D image, where the 2D data capture image captures the code. The method also includes reading the code based on the 2D data capture image.

Sample traceability device and method for medical research and/or diagnosis. The invention relates to a sample traceability device for medical research and/or diagnosis, comprising a one-dimensional or two-dimensional optical code, the device comprising a system for reading one-dimensional or two-dimensional optical codes and a sample tracing control device comprising a sample tracing database manager, and a user interface screen. Said traceability device also comprises: an area for depositing at least two samples, a system for illuminating the deposit area, at least one digital camera oriented towards said deposit area, and a device for processing the image, said image processing device comprising: a module for locating said optical codes, and a module for reading the located optical codes, the sample tracing control device automatically receiving the information generated by the module for reading the located optical codes.

Embodiments of an image reader and/or methods of operating an image reader can capture an image, identify a bar code or IBI form within the captured image, and, store or display the captured image responsive to the an orientation of the bar code.

Systems and methods disclosed herein increase a scan rates of parcels within a material handling facility. In some instances, the systems and methods described herein focus an imaging device on a label attached to a parcel to capture image data of the label that is in focus. This permits the image data to be analyzed for discerning shipping identifiers that are used for sortation and/or processing the parcels. For example, a height of the parcel may be determined and a field of view (FOV) associated with capturing the image data may be correspondingly adjusted. Furthermore, other setting(s) associated with imaging the parcels may be adjusted. For example, lighting conditions may be adjusted to reduce glare, contrast, and/or brightness captured within the image(s), and/or other setting(s) of the imaging device may be updated, such as gain and exposure.

A barcode-reading system may include a barcode-reading enhancement accessory that is securable to a mobile device. The accessory may include an optic system that is configured to shape and filter illumination from a white light source of the mobile device to project targeting illumination onto a target surface. Calibration data may indicate a relationship between surface distance and at least one feature offset of the targeting illumination. A barcode-reading application may determine a feature offset of the targeting illumination in an image that is captured by the camera assembly of the mobile device. The application may also determine an estimated surface distance based on the calibration data and the feature offset. The application may also use the estimated surface distance to adjust at least one operating parameter of the mobile device.

A secure document includes a fluorescent barcode and a fluorescent filler printed onto a substrate. The fluorescent barcode is printed using a first fluorescent ink of a first color and the fluorescent filler is printed using a second fluorescent ink of a second color that is different than the first color. In order to read the fluorescent barcode, the secure document must be illuminated with ultraviolet and/or infrared light. Then, a color filter must be used to filter the fluorescent filler out, leaving the fluorescent barcode visible.

The present invention discloses a system and a method for decoding QR codes in complex scenes, a system and a method for generating multi-layer color QR codes and applications enabled by the systems and methods. The method for decoding a QR code may include detecting rough locations of the QR code by a learning-based QR code detector which is pre-trained off-line; localizing finder patterns and alignment patterns within each detected location; correcting geometric distortion of each QR code, based on the localized finder patterns and alignment patterns; restoring a color of each data module within each corrected QR code by a learning-based classifier; and decoding the QR code from each restored QR code. The application also discloses a system and a method to determine the optimal setting parameters for creating a multi-layer QR code to fulfill the user's requirements. Some applications enabled by these systems and methods are also disclosed.

A method and system for writing a label (defined within a predetermined region of the sample 110), the label displaying a visible layout of light-modified regions in a predetermined spatial arrangement. The method comprises: modifying regions of a material within the label using light, wherein the modifying comprises using light of a first polarisation state to provide photo-induced optically active regions of a first type having a first optical activity state which is characteristic of having been formed by light of the first polarisation state, in order to encode covert information in the label using the locations of the first type of light-modified regions within the spatial arrangement of the label.

A sample processing or assay instrument includes a moveable support. The moveable support defines a first pocket configured to receive a first object having a first machine-readable mark. The moveable support defines a second pocket configured to receive a second object having a second machine-readable mark. The moveable support also includes a first fiducial machine-readable mark and a second fiducial machine-readable mark. The instrument also includes an image capture device that captures a first image including the first fiducial machine-readable mark and the first machine-readable mark of the first object. The image capture device captures a second image that includes the second fiducial machine-readable mark and the second machine-readable mark of the second object. The instrument also includes a processor configured to associate information decoded from the first and second machine-readable marks with first and second locations on the moveable support.