Systems, methods, and media are described herein for providing one or more visualizations corresponding to one or more tasks executed by a core processor on image data from one or more imaging devices (e.g., a camera). For example, an inspection cycle of the core processor can be initiated for determining or identifying unexpected events associated with the tasks of the core processor. Each inspection cycle may correspond to a particular imaging device. In some embodiments, an inspection cycle includes inspections of a grabbing task, a pre-processing task, a processing task, an idle period, another type of task, or one or more combinations thereof. A visualization that includes the unexpected event and the inspection cycle is provided for display on a user interface. In some embodiments, the visualization includes a standard error bar for the pre-processing task, processing task, idle period, or one or more combinations thereof.

Provided is an information processing apparatus including: an obtaining unit configured to obtain a token string generated based on character strings included in a document image; a first determination unit configured to determine a document type represented by the document image and character strings corresponding to a first item included in the document image by using a result obtained by inputting the token string into a trained model; and a second determination unit configured to determine a character string corresponding to a second item by applying the document type and the character strings corresponding to the first item to a rule-based algorithm.

A system (1) and method for electronic signature comprising of an electronic signature solution (11) with a smart assist feature (11) which helps the signer (4) of the document (2) in a smart manner to verify the terms and conditions of the document (2); and wherein the smart assist feature (11) extracts and presents key metadata fields (18) from the document (2) and displays it to the signer (4) for verification; and wherein the smart assist feature (18) auto-summarizes the entire document and presents a summary to the signer; and wherein the smart assist feature (18) also allows the signer (4) to mark erroneous metadata fields in the document with a red flag (20); and wherein the smart assist feature (18) further enable the signer (4) to communicate via a message (22) to the sender (3) of the document (2), about the error in the same.

According to one embodiment, a sorting system has a delivery processing apparatus, a video coding terminal, and a recognition support apparatus. The recognition support apparatus has an information management portion, a correct solution derivation portion, and a machine learning portion. The information management portion acquires an image obtained by imaging a delivery object and keying information. The correct solution derivation portion derives respective correct solutions for a plurality of processings for the image obtained by imaging the delivery object, based on the keying information acquired by the information management portion. The machine learning portion performs machine learning using the respective correct solutions for the plurality of processings derived by the correct solution derivation portion, to adjust the plurality of processings.

The current modular implant is particularly useful in spinal surgical procedures. The modular implant can be provided with two anchors and a central section.

Financial transaction card data can be entered by providing a picture of the card to a server programmed with a text recognition algorithm. The server can perform text recognition on the image at the same time that a consumer enters additional required data, such as a zip code. The server can perform as much text recognition processing as possible in the time the consumer is entering the additional data. Once the additional data is received, a signal can be provided to the server indicating that the user is now waiting for results of the text recognition process, meaning the server should provide them as quickly as possible. Once text recognition results are received, a consumer can make a selection to identify a character which the text recognition algorithm did not sufficiently identify. Based on known account number constraints, the user selection can cause multiple characters to be identified.

An image processing apparatus includes circuitry; and a memory storing computer-executable instructions that cause the circuitry to execute detecting an error in a character, a word, or a sentence in image data; adding, to the image data, information of the detected error when the error is detected, as invisible information that cannot be viewed or that is difficult to view in an image represented by the image data; and controlling output of the image data by changing an output method of the image data in which the error is detected, based on a detection result of detecting the error or the invisible information.

A method of receiving input characters with a computer is disclosed The computer executes a process which includes receiving, on a display image screen for displaying handwritten characters, a selection instruction with respect to a handwritten certain character; displaying, on the display image screen, a candidate display image screen for displaying a correction candidate with respect to the certain character, in response to a reception of the selection instruction, a display area for the candidate display image screen extending at least to a display area for the certain character, and performing a correction process for the certain character in response to a handwritten input with respect to the candidate display image screen.

An input processing method executed by a computer includes receiving a handwriting input on a display screen on which a character is displayed; and in response to detecting that the handwriting input has been performed at a position corresponding to a display position of a specific character displayed on the display screen, executing a process of changing the specific character into a character recognized with respect to the handwriting input.

Systems and methods to improve the optical character recognition of records, and in particular health records, are provided. An image of a medical record is received, and an initial optical image recognition (OCR) on the image is performed to identify text information. The OCR signal quality may be measured, and areas of insufficient OCR signal quality may be isolated. The signal quality is determined by a weighted average of semantic analysis of the resulting text, and/or OCR accuracy measures. The OCR process may be repeated on the isolated regions of lower signal quality, each time using a different OCR transform, until all regions are completed with a desired degree of signal quality (accuracy). All the regions of the document may then be recompiled into a single document for outputting.