An operating method of an image forming apparatus includes: receiving an input to select a selective eco mode which selectively applies an eco mode during an image forming job of a document; obtaining at least one area to be excluded from application of the eco mode from a preview of the document according to execution of the selective eco mode; generating a mask in which an area corresponding to at least one area of the document is set in an array corresponding to a preview image of the document, based on information about the at least one area of the document; and outputting the document to which the selective eco mode is applied based on the mask.

An auto-rotation module having a single-layer neural network on a user device can convert a document image to a monochrome image having black and white pixels and segment the monochrome image into bounding boxes, each bounding box defining a connected segment of black pixels in the monochrome image. The auto-rotation module can determine textual snippets from the bounding boxes and prepare them into input images for the single-layer neural network. The single-layer neural network is trained to process each input image, recognize a correct orientation, and output a set of results for each input image. Each result indicates a probability associated with a particular orientation. The auto-rotation module can examine the results, determine what degree of rotation is needed to achieve a correct orientation of the document image, and automatically rotate the document image by the degree of rotation needed to achieve the correct orientation of the document image.

A system and method for deconstructing a document is described herein, where the method is an improvement over existing document deconstruction techniques. These improvements increase speed and accuracy by rapidly identifying the source in a document by splitting the document into a plurality of sections and performing a perceptual image hashing on each section. Then a hamming distance is used to compare the hash for each section with the hashes of known documents to identify the source who sent the document.

A visible light sensor may be configured to sense environmental characteristics of a space using an image of the space. The visible light sensor may be controlled in one or more modes, including a daylight glare sensor mode, a daylighting sensor mode, a color sensor mode, and/or an occupancy/vacancy sensor mode. In the daylight glare sensor mode, the visible light sensor may be configured to decrease or eliminate glare within a space. In the daylighting sensor mode and the color sensor mode, the visible light sensor may be configured to provide a preferred amount of light and color temperature, respectively, within the space. In the occupancy/vacancy sensor mode, the visible light sensor may be configured to detect an occupancy/vacancy condition within the space and adjust one or more control devices according to the occupation or vacancy of the space. The visible light sensor may be configured to protect the privacy of users within the space via software, a removable module, and/or a special sensor.

An image processing device includes an image reader that reads an image, a first determiner that determines whether character crushing occurs when the image is binarized, a second determiner that determines a rate of a photographic region in the image, and a controller that performs conversion into monochrome N-gradation image data based on determination results of the first and second determiners.

A method, apparatus, and system for identifying objects based on grayscale images in the operation of an autonomous driving vehicle is disclosed. In one embodiment, one or more first color images are received from a camera mounted at an autonomous driving vehicle (ADV). One or more first grayscale images are generated based on the one or more first color images, which comprises converting each of the one or more first color images into one of the first grayscale images. One or more objects in the one or more first grayscale images are identified based on a pre-trained grayscale perception model. A trajectory for the ADV is planned based at least in part on the identified one or more objects. Control signals are generated to drive the ADV based on the planned trajectory.

An information processing apparatus includes at least one memory device that stores a set of instructions, and at least one processor that executes the set of instructions. The set of instructions includes instructions to acquire color data from an application, set a generation method for generating gray image data from color data by selecting a method from a group including at least a first generation method and a second generation method different from the first generation method, generate PDL data of gray image data based on the acquired color data and the set generation method, and transmit the generated PDL data to a printing apparatus.

A visible light sensor may be configured to sense environmental characteristics of a space using an image of the space. The visible light sensor may be controlled in one or more modes, including a daylight glare sensor mode, a daylighting sensor mode, a color sensor mode, and/or an occupancy/vacancy sensor mode. In the daylight glare sensor mode, the visible light sensor may be configured to decrease or eliminate glare within a space. In the daylighting sensor mode and the color sensor mode, the visible light sensor may be configured to provide a preferred amount of light and color temperature, respectively, within the space. In the occupancy/vacancy sensor mode, the visible light sensor may be configured to detect an occupancy/vacancy condition within the space and adjust one or more control devices according to the occupation or vacancy of the space. The visible light sensor may be configured to protect the privacy of users within the space via software, a removable module, and/or a special sensor.

An apparatus includes a setting unit and a control unit. The setting unit performs a first print setting indicating a poster printing function that divides a single piece of image data into a plurality of pieces of image data and generates print jobs, and a second print setting indicating a correction function for correcting calculated gray values when an image processing apparatus converts a plurality of pieces of color image data to grayscale, based on a number of colors acquired from each of the plurality of pieces of color image data. The control unit restricts the setting unit from performing the first print setting and the second print setting. In a state where one of the first print setting and the second print setting is performed by the setting unit, the control unit controls the setting unit not to perform the other print setting.

A data protection method is provided. The data protection method includes the following. A first image is obtained; at least one first object image in the first image is identified; the at least one first object image is analyzed to capture multiple first characteristic values of multiple characteristic points of the at least one first object image; and an encryption key is generated according to the first characteristic values.