An image forming apparatus that forms an image on a recording medium includes: an image former that forms an image on a recording medium; an image reader that reads an image formed on a recording medium; an adjuster that adjusts the image former on a basis of a reading result obtained by the image reader by reading an image formed on a recording medium by the image former; and a processor configured to output, to an external apparatus used for diagnosis of the image forming apparatus, the reading result of the image formed on the recording medium by the image former when adjustment is performed by the adjuster.

An information processing apparatus includes an acquisition unit that acquires a processed image obtained through image processing, and a generation unit that generates a synthesis image obtained by synthesizing an evidence image, which is an image becoming an evidence of the image processing and including at least information on a fee required for the image processing, with a reduction image obtained by reducing the processed image.

An information processing apparatus includes a processor configured to: acquire a result of diagnosis of one image forming apparatus made on a basis of a result of reading of a recording medium on which an image has been formed by the one image forming apparatus and that has been read by another image forming apparatus having an image reading function; acquire other apparatus information, which is information concerning the other image forming apparatus; and generate a screen including both of the result of the diagnosis and the other apparatus information.

The present disclosure discloses methods and systems for automatically determining one or more optimal scan settings to manage an output size of a document submitted for scanning at a multi-function device. The method includes receiving the document for scanning from a user, wherein the document includes one or more pages having content. As scanning activity is progressed at the multi-function device, an output file size is displayed to the user via a user interface in real-time. Then, an input from the user is received on the displayed output file size. Based on the input from the user, one or more scan settings are determined to be applied on the already scanned pages and remaining pages of the document to be scanned, to manage the output size of an output scanned file to be generated. Thereafter, the determined one or more scan settings are applied such that the output size of the scanned file is in accordance with the requirement. Finally, the scanned file is output of the required size.

A label issuing apparatus includes: a storage unit that stores a plurality of pieces of product information regarding a product; a print control unit that generates print data defining that a barcode, in which at least one piece of the product information stored in the storage unit is encoded, and a digital watermark, in which at least one piece of the product information encoded as the barcode is embedded, are arranged on one product label and the barcode and the digital watermark are arranged at different positions on the one product label; and a label issuing unit that issues the product label on which the barcode and the digital watermark are displayed at different positions by printing information based on the print data on a label.

A front-end image acquisition component acquires photographs and/or videos of the exterior of a vehicle traveling on a path between a first predefined location and a second predefined location. In one aspect, an image acquisition system comprises a first camera support structure, a second camera support structure, an image processor, and a memory. Cameras are affixed to each of the camera support structures for acquiring image data of a subject vehicle. Image data is controlled by the image processor and the memory. In another aspect, an image acquisition system comprises a first camera tower, a second camera tower, a camera boom. Cameras are affixed to each of the camera towers. In another aspect, a method of identifying features of the exterior of a vehicle includes acquiring a series of images from a front-end component, accessing previously acquired images and associated metadata stored in a database, executing machine learning algorithms using the previously acquired information to identify at least one exterior vehicle feature, and executing machine learning algorithms using the presently acquired series of images to identify at least one exterior feature of the vehicle.

The present disclosure discloses methods and systems for allowing a user to add one or more bookmarks while scanning a document. The method includes receiving a document for scanning from a user. Once received, a user interface is displayed to the user to select an option to add one or more bookmark to the document. The document is scanned to get scanned pages of the document. Based on the selection of the option by the user, one or more bookmarks are added to one or more scanned pages of the document. The scanned document including the one or more bookmarked pages is sent to the one or more recipients for the desired action.

An inspection apparatus includes at least one memory that stores instructions, and at least one processor that executes the instructions to provide a screen to display an image on which a plurality of pages is imposed and to receive a layout of an inspection area on one of the plurality of pages imposed on the displayed image based on a user instruction, and replicate the inspection area set on the one page at corresponding positions on the other pages imposed on the displayed image.

An information processing apparatus includes a processor configured to: generate an identification image in response to at least one of a thread and a digital document posted on the thread being specified, the thread being displayed on a service screen of a message exchange service, the identification image being linked with information for accessing the thread; and perform control to output the generated identification image in a readable format.

A front-end image acquisition component acquires photographs and/or videos of the exterior of a vehicle traveling on a path between a first predefined location and a second predefined location. In one aspect, an image acquisition system comprises a first camera support structure, a second camera support structure, an image processor, and a memory. Cameras are affixed to each of the camera support structures for acquiring image data of a subject vehicle. Image data is controlled by the image processor and the memory. In another aspect, an image acquisition system comprises a first camera tower, a second camera tower, a camera boom. Cameras are affixed to each of the camera towers. In another aspect, a method of identifying features of the exterior of a vehicle includes acquiring a series of images from a front-end component, accessing previously acquired images and associated metadata stored in a database, executing machine learning algorithms using the previously acquired information to identify at least one exterior vehicle feature, and executing machine learning algorithms using the presently acquired series of images to identify at least one exterior feature of the vehicle.