Abstract: An information processing device includes an acquisition unit that acquires mobile object information, parcel information, pickup delivery information as information regarding at least one of pickup and delivery, map information, weather information, and traffic information, a calculation control unit that calculates a delivery company burden, as a cost defrayment by a delivery company, in regard to each combination of target parcels and a mobile object by using the mobile object information, the parcel information, the pickup delivery information, the map information, the weather information and the traffic information, a determination unit that determines an optimum combination out of a plurality of combinations based on the delivery company burden calculated in regard to each combination of target parcels and a mobile object, and an output unit that outputs the optimum combination.

Abstract: A relearning system includes a model storage unit that stores a second neural network learned so that a recognition result by the second neural network used as a student model approaches a recognition result by a first neural network used as a teacher model; a recognition unit that recognizes a recognition target by using the second neural network to draw an inference about recognition target data indicating the recognition target; an accumulation determination unit that determines whether or not certainty of the recognition is at a mid-level; an accumulation unit that accumulates the recognition target data as relearning data when the certainty of the recognition is at mid-level, the certainty of the recognition of the recognition target data being determined to be at mid-level; and a model learning unit that relearns the student model by using the relearning data so that a recognition result of the student model approaches a recognition result of the teacher model.

Abstract: A delivery management device includes a communication unit and a control unit. The control unit acquires vehicle position information and user position information when a request for delivery of a parcel is received, selects one vehicle among a plurality of vehicles based on contents of the request, information acquired from a storage device, the vehicle position information and the user position information, makes the selected vehicle as a responsible vehicle move to the user present position, and receives a pickup completion notification indicating that the responsible vehicle moved to the user present position and a shipment parcel has been loaded onto the responsible vehicle or a completion notification indicating that the responsible vehicle arrived at the user present position and a reception parcel has been taken out of the responsible vehicle.

Abstract: An adaptation status judging unit (112) judges an adaptation status of a driver to a color. A goal color decision unit (113) decides a goal color of a display range based on the adaptation status of the driver. An applicable color decision unit (115) decides an applicable color of a display portion on a screen of a display based on the goal color, the display portion displaying information. A control unit (116) controls the display based on the applicable color of the display portion.

Abstract: A peripheral data acquisition unit obtains peripheral data indicating a traveling state of a peripheral object traveling around a target object. A data writing unit stores the obtained peripheral data in a history storage unit in association with the position of the target object at the time when the peripheral data is obtained. A control specifying unit specifies a control method of the target object on the basis of, among the peripheral data stored in the history storage unit, the peripheral data stored in association with a current position of the target object.

Abstract: The present disclosure provides a monitoring device including: a front data acquisition unit to acquire, via a sensor installed in a front of a mobile object, data around its front area with respect to its traveling direction and status information of the mobile object; a rear data acquisition unit to acquire, via a sensor installed in a rear of the mobile object, data around its rear area with respect to the traveling direction and status information of the mobile object; a position identification unit to identify a position of the data around the front area and a position of the data around the rear area; and an object detection unit to compare the data around the front area with the data around the rear area of the same position as the data around the front area, detect an object, and warn of an anomaly.

Abstract: A course prediction device (1) includes a blind spot calculation unit (11) and a prediction unit (12). The blind spot calculation unit (11) acquires a sensing result sequentially from a sensor which is arranged in a mobile object and which detects whether an object exists, and calculates, based on sensor information, a blind spot area expressing such an area that an object existing therein cannot be detected by the sensor. The blind spot calculation unit (11) also detects an object entering the blind spot area based on the sensor information. The prediction unit (12) predicts a course in the blind spot area of the detected object based on the sensing result.

Abstract: An adaptation status judging unit (112) judges an adaptation status of a driver to a color. A goal color decision unit (113) decides a goal color of a display range based on the adaptation status of the driver. An applicable color decision unit (115) decides an applicable color of a display portion on a screen of a display based on the goal color, the display portion displaying information. A control unit (116) controls the display based on the applicable color of the display portion.

Abstract: A peripheral data acquisition unit obtains peripheral data indicating a traveling state of a peripheral object traveling around a target object. A data writing unit stores the obtained peripheral data in a history storage unit in association with the position of the target object at the time when the peripheral data is obtained. A control specifying unit specifies a control method of the target object on the basis of, among the peripheral data stored in the history storage unit, the peripheral data stored in association with a current position of the target object.

Abstract: In an embodiment, an illuminating device includes a light source, a light source control unit, an estimation unit, a first calculating unit, and a second calculating unit. The light source includes light emitters, each having a different spectral distribution. The light source control unit determines an emission intensity of each of the light emitters. The estimation unit estimates a spectral reflectivity of an object. The first calculating unit calculates a first evaluation value, indicating an adequacy of a color of the object visually perceived, based on the spectral distributions and the spectral reflectivity. The second calculating unit calculates a second evaluation value, indicating how much an influence is given by the illuminating light to factors other than a visual sense. The light source control unit determines the emission intensities by which the first evaluation value and the second evaluation value satisfy a restraint condition determined beforehand.

Abstract: According to an embodiment, an illumination apparatus includes a light source that emits at least two types of lights having different spectral distributions and a controller. The controller starts controlling of the light source. The controller sequentially performs switching-controlling of pre-set lighting-up patterns of the light source so as to switch at least one of a combination of the lights having different spectral distributions of the light source and a combination of intensities of the light source in response to the start of the control of the light source. The controller ends controlling of the light source after at least the switching-controlling of all the pre-set lighting-up patterns of the light source is performed.

Abstract: According to an embodiment, a control apparatus includes an identification unit and a derivation unit. The identification unit is configured to identify an attribute of an object included in image data. The derivation unit is configured to derive a combination of at least two types of light sources and lighting rates of the light sources, based on the identified attribute of the object, the lights having different spectral power distributions.

Abstract: According to an embodiment, a control device includes a first calculator and a second calculator. The first calculator is configured to calculate a wavelength of light to be emitted from a light source whose emission intensity is controllable and which has at least one light emitting element at predetermined time intervals in a manner that adjusts the wavelength by a predetermined amount of change within a range of a first wavelength of light to be emitted at a start of adjustment to a second wavelength of light to be emitted at an end of the adjustment, the calculated wavelength being set as a third wavelength. The second calculator is configured to calculate an emission intensity of the light emitting element at the third wavelength.

Abstract: According to one embodiment, a first extraction unit extracts a first group of pixels having a specific hue from an input image. A second extraction unit extracts a second group of pixels having large distance from a reference axis on a plane defined by a chroma axis and a luminance axis from the first group. A first transform unit executes a plurality of color-transform processing to the second group and obtains a plurality of third groups of pixels as the second group transformed by each color-transform processing. A reliability calculation unit calculates a reliability of each third group. The reliability is larger when pixels of the third group are more located in shape of a straight line on the plane. A selection unit selects a color-transform processing by which the third group has the largest reliability from the plurality of color-transform processing. A second transform unit executes the color-transform processing to the input image to obtain an output image.

Abstract: According to an embodiment, an illumination device includes a light source whose emission intensity is controllable; an identifying unit configured to identify an activity of a user; and a light source controller configured to control the emission intensity of the light source so that a level of arousal of the user becomes lower than a predetermined level when the identified activity is a learning activity representing an activity to form a memory in the brain of the user.

Abstract: In an embodiment, an illuminating device includes a light source, a light source control unit, an estimation unit, a first calculating unit, and a second calculating unit. The light source includes light emitters, each having a different spectral distribution. The light source control unit determines an emission intensity of each of the light emitters. The estimation unit estimates a spectral reflectivity of an object. The first calculating unit calculates a first evaluation value, indicating an adequacy of a color of the object visually perceived, based on the spectral distributions and the spectral reflectivity. The second calculating unit calculates a second evaluation value, indicating how much an influence is given by the illuminating light to factors other than a visual sense. The light source control unit determines the emission intensities by which the first evaluation value and the second evaluation value satisfy a restraint condition determined beforehand.

Abstract: An image display device includes: an image input unit configured to input an image; a content categorizer configured to determine a content category of the image; a database configured to store adjustment items corresponding to each of a plurality of content categories, the adjustment items being related to sensibility words each representing an impression for images; an adjustment item display configured to display the adjustment items corresponding to the content category, the adjustment item being selectable by a user; a receiver configured to receive set values of the adjustment items selected from the user; an image quality parameter calculator configured to calculate image quality parameters in accordance with the set values of the adjustment items; an image processor configured to perform image processing on the image in accordance with the image quality parameters; and an image display configured to display the processed image.

Abstract: According to one embodiment, a first extraction unit extracts a first group of pixels having a specific hue from an input image. A second extraction unit extracts a second group of pixels having large distance from a reference axis on a plane defined by a chroma axis and a luminance axis from the first group. A first transform unit executes a plurality of color-transform processing to the second group and obtains a plurality of third groups of pixels as the second group transformed by each color-transform processing. A reliability calculation unit calculates a reliability of each third group. The reliability is larger when pixels of the third group are more located in shape of a straight line on the plane. A selection unit selects a color-transform processing by which the third group has the largest reliability from the plurality of color-transform processing. A second transform unit executes the color-transform processing to the input image to obtain an output image.

Abstract: A display luminance of an image signal is extracted from an image inputted. An observation distance is calculated as a relative distance between an observer and the display. A brightness of an environmental condition of the display is calculated. A visual angle of the image is calculated using the observation distance and a size of the display. A visual response function is calculated using the display luminance, the brightness of the environmental condition, and the visual angle. The visual response function represents relationship between the display luminance and a referential lightness of a human visual characteristic. A corrected display luminance corresponding to a referential lightness is calculated using the visual response function. The image is output on the display using the corrected display luminance.

Abstract: An image display device includes:an image input unit configured to input an image; a content categorizer configured to determine a content category of the image; a database configured to store adjustment items corresponding to each of a plurality of content categories, the adjustment items being related to sensibility words each representing an impression for images; an adjustment item display configured to display the adjustment items corresponding to the content category, the adjustment item being selectable by a user; a receiver configured to receive set values of the adjustment items selected from the user; an image quality parameter calculator configured to calculate image quality parameters in accordance with the set values of the adjustment items; an image processor configured to perform image processing on the image in accordance with the image quality parameters; and an image display configured to display the processed image.