Improved techniques for combining human tasks with robotic tasks and/or external tasks in an organized manner to define an automation workflow process for use by a software automation system. A workflow process platform can assist a developer in creating an automation workflow process and/or managing performance of an automation workflow process. The automation workflow process can carry out a process, such as a business process, by interrelating human tasks performed by users with robotic tasks performed by computing machines or external tasks performed by applications (e.g., local or cloud-based). The workflow process platform can be network-based and utilize various users and computing machines that are affiliated with different groups (e.g., teams, departments) of an organization. Advantageously, the improved techniques can enable automation of business processes using various persons, robotic agents and/or applications in an organized and controlled manner.

Improved techniques for combining human tasks with robotic tasks and/or external tasks in an organized manner to define an automation workflow process for use by a software automation system. A workflow process platform can assist a developer in creating an automation workflow process and/or managing performance of an automation workflow process. The automation workflow process can carry out a process, such as a business process, by interrelating human tasks performed by users with robotic tasks performed by computing machines or external tasks performed by applications (e.g., local or cloud-based). The workflow process platform can be network-based and utilize various users and computing machines that are affiliated with different groups (e.g., teams, departments) of an organization. Advantageously, the improved techniques can enable automation of business processes using various persons, robotic agents and/or applications in an organized and controlled manner.

A system includes first and second sensors and a controller. The first sensor is of a first type and is configured to sense objects around a vehicle and to capture first data about the objects in a frame. The second sensor is of a second type and is configured to sense the objects around the vehicle and to capture second data about the objects in the frame. The controller is configured to down-sample the first and second data to generate down-sampled first and second data having a lower resolution than the first and second data. The controller is configured to identify a first set of the objects by processing the down-sampled first and second data having the lower resolution. The controller is configured to identify a second set of the objects by selectively processing the first and second data from the frame.

Methods, apparatus, and processor-readable storage media for automatically generating context-based alternative text using artificial intelligence techniques are provided herein. An example computer-implemented method includes generating text captions for an image derived from a web page by processing the image using an artificial intelligence-based image captioning model; determining context information pertaining to the image by processing the image using an artificial intelligence-based context and emotion recognition library; generating context-based alternative text for at least a portion of the image by processing, using at least one artificial intelligence-based alternative text generation model, at least a portion of one or more of the generated text caption(s) for the image and the determined context information pertaining to at least a portion of the image; and performing one or more automated actions based on the generated context-based alternative text.

Methods, apparatus, and processor-readable storage media for automatically generating context-based alternative text using artificial intelligence techniques are provided herein. An example computer-implemented method includes generating text captions for an image derived from a web page by processing the image using an artificial intelligence-based image captioning model; determining context information pertaining to the image by processing the image using an artificial intelligence-based context and emotion recognition library; generating context-based alternative text for at least a portion of the image by processing, using at least one artificial intelligence-based alternative text generation model, at least a portion of one or more of the generated text caption(s) for the image and the determined context information pertaining to at least a portion of the image; and performing one or more automated actions based on the generated context-based alternative text.

In an apparatus for identifying an obstacle around a vehicle, an acquirer is configured to acquire an image captured by a camera mounted to the vehicle. An extractor is configured to extract feature points of the image. A generator is configured to generate an optical flow that is a movement vector from each of the feature points of the image acquired before the current time to a corresponding feature point of the image acquired at the current time. A classifier configured to classify the optical flows into groups each corresponding to an object in the image based on pixel positions of the feature points. An identifier is configured to, for each of the groups that the optical flows are classified by the classifier into, identify whether an object corresponding to the group in the image is a stationary object or a moving object based on a degree of variability in lengths of the optical flows of the group.

Image processing methods and an electronic device are provided. An exemplary image processing method includes: obtaining a target image, where the target image is used for indicating configuration information of a second device; recognizing a first pattern in the target image; determining a first character corresponding to the first pattern, according to a primary element of the first pattern and a secondary element of the first pattern; and recognizing the second device based on the first character.

Character recognition processing suitable to a handwritten character area and a printed character area among character areas in a scanned image of a document is performed. Next, character recognition results for the handwritten character area and character recognition results for the printed character area are integrated and a likelihood indicating a probability of being an extraction target is calculated for a candidate character string that is an extraction candidate among the integrated character recognition results and a character string that is the item value is determined. Then, at the time of the determination, different evaluation indications are used in a case where a character originating from the handwritten character area is included in characters constituting the candidate character string and in a case where such a character is not included.

The image-capturing unit includes an imaging section; a holding section configured to hold a subject to be imaged by the imaging section; a light irradiation section configured to select light of one or more light sources out of multiple light sources having different wavelengths, and to irradiate the subject held in the holding section with the light; a storage section configured to store a correspondence among a color of the light emitted for irradiating the subject by the light irradiation section, a material of an irradiation surface irradiated with the light, and a resolution representing the number of pixels per unit length; and an image processing section configured to obtain the resolution from the correspondence, based on the color of the light emitted for irradiating the subject and the material of the irradiation surface of the subject, and to process a subject image by using the resolution.

A non-transitory computer-readable storage medium stores an editing program including a set of program instructions for an information processing apparatus comprising a controller and an input interface. The set of program instructions, when executed by the controller, causes the information processing apparatus to perform: acquiring a plurality of strokes inputted via the input interface; calculating a distance between two strokes of the acquired plurality of strokes; in response to determining that the calculated distance is shorter than a distance threshold, recognizing the two strokes as a same item; in response to determining that the calculated distance is longer than or equal to the distance threshold, recognizing the two strokes as separate items; and changing the distance threshold based on input via the input interface.