Abstract: The present disclosure relates to a system and method for improving scan rates of an item in a distribution network. The system may include an item scan database storing item scan datasets containing barcodes, item datasets and optical character recognition (OCR) labels datasets and a processor in data communication with the item scan database. The processor may detect an item barcode with an item orientation so as to output correct orientation information of the item. The processor may also extract available barcode information from the detected item barcode based on the correct orientation information of the item. The processor may further reconstruct a correct barcode from the extracted available barcode information and one or more of the item scan datasets.

Abstract: Systems and methods of the present disclosure include at least one building component detection sensor device configured to be deployed within (or proximate to) a building comprised of a plurality of building components. The at least one building component detection sensor device is configured to detect data relating to at least one building component of the plurality of building components. In addition, a building component property determination system includes a processor configured to execute instructions stored in memory to determine one or more properties of the at least one building component based at least in part on the data detected by the at least one building component detection sensor device.

Abstract: This application relates to a system for automatically recognizing geographical area information provided on an item. The system may include an optical scanner configured to capture geographical area information provided on an item, the geographical area information comprising a plurality of geographical area components. The system may also include a controller in data communication with the optical scanner and configured to recognize the captured geographical area information by running a plurality of machine learning or deep learning models separately and sequentially on the plurality of geographical area components of the captured geographical area information.

Abstract: This application relates to a method and a system for compressing a captured image of an item such as a mailpiece or parcel. The system may include a memory configured to store images of a plurality of items captured while the items are being transported and a processor in data communication with the memory. The processor may be configured to receive or retrieve one or more of the captured images, perform a wavelet scattering transform on the one or more captured images, perform deep learning on the wavelet scattering transformed images to classify the wavelet scattering transformed images and compress the classified wavelet scattering transformed images. Various embodiments can significantly improve a compression efficiency, a communication efficiency of compressed data and save a memory space so that the functionality of computing devices is significantly improved.

Abstract: This application relates to a system for building machine learning or deep learning data sets for automatically recognizing geographical area information comprising a plurality of geographical area components provided on items. The system may include a first image database configured to store a first plurality of sets of images of geographical area information of items, each first set including an image of an entirety of geographical area information of an item. The system may also include a second image database configured to store a second plurality of sets of images of the geographical area information of the items, each second set including images of individual geographical area components. The system may further include a controller configured to convert the first plurality of sets of images into the second plurality of sets of images.

Abstract: This application relates to a method and a system for building machine learning or deep learning data sets for automatically recognizing labels on items. The system may include an optical scanner configured to capture an item including one or more labels provided thereon, the item captured a plurality of times at different positions with respect to the optical scanner. The system may further include a robotic arm on which the item is disposed, the robotic arm configured to rotate the item horizontally and/or vertically such that the one or more labels of the item are captured by the optical scanner at different positions with respect to the optical scanner. The system may include a database configured to store the captured images.

Abstract: This application relates to a system for compressing captured images. The system may include an image capturing device configured to continuously capture images, for example, of a location, or frame, or field of view, and convert the captured images respectively into a plurality of sets of digital data, each of the plurality of sets of digital data including at least two consecutive rows of digital data. The system may also include a processor circuit configured to combine the at least two sets of the plurality of sets of digital data to generate a pre-compression set of digital data and simultaneously compress the pre-compression set of digital data simultaneously or together in a single compression operation.

Abstract: The present disclosure relates to a system for reading a barcode independently of image resolution or scale of a captured barcode image. In one embodiment, the system includes an optical sensor and a processor. The optical scanner can scan a barcode, including a plurality of bars and spaces, into a scanned image. The processor can convert the scanned image into binary data. The processor can also calculate numbers of ones (1s) between zeros (0s) in the binary data and determine widths of one of i) each of the bars and ii) each of the spaces based on the calculated numbers of ones (1s). The processor can further calculate numbers of zeros (0s) between ones (1s) in the binary data and determine widths of the other one of i) each of the bars and ii) each of the spaces based on the calculated numbers of zeros (0s).

Abstract: This application relates to a method and a system for compressing a captured image of an item such as a mailpiece or parcel. The system may include a memory configured to store images of a plurality of items captured while the items are being transported and a processor in data communication with the memory. The processor may be configured to receive or retrieve one or more of the captured images, perform a wavelet scattering transform on the one or more captured images, perform deep learning on the wavelet scattering transformed images to classify the wavelet scattering transformed images and compress the classified wavelet scattering transformed images. Various embodiments can significantly improve a compression efficiency, a communication efficiency of compressed data and save a memory space so that the functionality of computing devices is significantly improved.

Abstract: The present disclosure relates to a system and method for extracting a region of interest from a captured image of an item. The system may include a reader configured to capture an image of an item having a computer readable code positioned thereon. The system may also include a processor in data communication with the reader and configured to generate captured image data, the captured data comprising binary image data and identify a first pixel region representing the computer readable code from the binarized image data. The processor may be further configured to remove a second pixel region other than the first pixel region from the binarized image data and store or process only first binarized image data representing the first pixel region.

Abstract: The present disclosure relates to a system and a method for extracting a computer readable code from a captured image of a mailpiece or parcel using downsampling and edge detection. The system can include a reader configured to capture an image of an item having a computer readable code positioned thereon and a processor in data communication with the reader. The processor can generate captured image data of the item including the computer readable code, downconvert the captured image data to generate a downconverted image data and detect an edge of the computer readable code. The processor can also identify a position of the computer readable code in the downconverted image data and store or process only the identified computer readable code.

Abstract: The present disclosure relates to a system and method for detecting an address block and barcode on a captured image of an item, and reading the detected barcode using connected component analysis. In one aspect, the method includes binarizing a captured image to generate a binarized image having pixel values, inverting the pixel values of the binarized image, processing the inverted pixel values, and filtering the processed image by area. The method may also include machine learning the processed image to cluster objects in the processed image into a plurality of groups using the filtered image, and determining a number of objects in each of the clustered groups by performing additional operations on the clustered objects to detect the address block. The method may also include selecting the group having the greatest number of objects as the address block, and extracting the selected address block.

Abstract: The present disclosure relates to a system for reading a barcode independently of image resolution or scale of a captured barcode image. In one embodiment, the system includes an optical sensor and a processor. The optical scanner can scan a barcode, including a plurality of bars and spaces, into a scanned image. The processor can convert the scanned image into binary data. The processor can also calculate numbers of ones (1s) between zeros (0s) in the binary data and determine widths of one of i) each of the bars and ii) each of the spaces based on the calculated numbers of ones (1s). The processor can further calculate numbers of zeros (0s) between ones (1s) in the binary data and determine widths of the other one of i) each of the bars and ii) each of the spaces based on the calculated numbers of zeros (0s).

Abstract: Embodiments of a system and method for secure processing of image data are described. Image data included in image files may be encrypted and compressed in a single step using dynamically identified compression/encryption information such as code word tables.

Abstract: The present disclosure relates to a system and method for extracting a region of interest from a captured image of an item. The system may include a reader configured to capture an image of an item having a computer readable code positioned thereon. The system may also include a processor in data communication with the reader and configured to generate captured image data, the captured data comprising binary image data and identify a first pixel region representing the computer readable code from the binarized image data. The processor may be further configured to remove a second pixel region other than the first pixel region from the binarized image data and store or process only first binarized image data representing the first pixel region.

Abstract: This application relates to a system for compressing captured images. The system may include an image capturing device configured to continuously capture images, for example, of a location, or frame, or field of view, and convert the captured images respectively into a plurality of sets of digital data, each of the plurality of sets of digital data including at least two consecutive rows of digital data. The system may also include a processor circuit configured to combine the at least two sets of the plurality of sets of digital data to generate a pre-compression set of digital data and simultaneously compress the pre-compression set of digital data simultaneously or together in a single compression operation.

Abstract: The present disclosure relates to a system and a method for extracting a computer readable code from a captured image of a mailpiece or parcel using downsampling and edge detection. The system can include a reader configured to capture an image of an item having a computer readable code positioned thereon and a processor in data communication with the reader. The processor can generate captured image data of the item including the computer readable code, downconvert the captured image data to generate a downconverted image data and detect an edge of the computer readable code. The processor can also identify a position of the computer readable code in the downconverted image data and store or process only the identified computer readable code.

Abstract: Embodiments of a system and method for secure processing of image data are described. Image data included in image files may be encrypted and compressed in a single step using dynamically identified compression/encryption information such as code word tables.

Abstract: The present disclosure relates to a system for reading a barcode independently of image resolution or scale of a captured barcode image. In one embodiment, the system includes an optical sensor and a processor. The optical scanner can scan a barcode, including a plurality of bars and spaces, into a scanned image. The processor can convert the scanned image into binary data. The processor can also calculate numbers of ones (1s) between zeros (0s) in the binary data and determine widths of one of i) each of the bars and ii) each of the spaces based on the calculated numbers of ones (1s). The processor can further calculate numbers of zeros (0s) between ones (1s) in the binary data and determine widths of the other one of i) each of the bars and ii) each of the spaces based on the calculated numbers of zeros (0s).

Abstract: The present disclosure relates to a system for reading a barcode independently of image resolution or scale of a captured barcode image. In one embodiment, the system includes an optical sensor and a processor. The optical scanner can scan a barcode, including a plurality of bars and spaces, into a scanned image. The processor can convert the scanned image into binary data. The processor can also calculate numbers of ones (1s) between zeros (0s) in the binary data and determine widths of one of i) each of the bars and ii) each of the spaces based on the calculated numbers of ones (1s). The processor can further calculate numbers of zeros (0s) between ones (1s) in the binary data and determine widths of the other one of i) each of the bars and ii) each of the spaces based on the calculated numbers of zeros (0s).