Abstract: Provided are a surgery assistance apparatus, a surgery assistance method, and a computer readable recording medium that includes a surgery assistance program recorded thereon that improve the accuracy of endoscopic surgery by identifying a target part image. A surgery assistance apparatus 1 includes a feature amount calculation unit 2 that calculates, from a human-body internal image captured using an endoscope, a feature amount of a target part image corresponding to a target part, a similarity degree calculation unit 3 that calculates a similarity degree of the features amount between different human-body internal images, and an identification unit 4 that identifies the target part image in each of the different human-body internal images if the similarity degree is greater than or equal to a predetermined value.

Abstract: A package measuring apparatus includes a control unit and a depth sensor that picks up a package having a rectangular parallelepiped shape placed on a mounting table from substantially directly above the package. The control unit is configured to: specify data of the package in an acquired depth image data by comparing with background depth image data; calculate a height of the package and specify positions of three vertices located on a leftmost, rightmost, and uppermost or lowermost side in the depth image data; obtain two-dimensional coordinates of the three vertices based on a view angle of the depth sensor, data of a distance from the depth sensor corresponding to the three vertices, data of a position of each sensor element, and the number of sensor elements; and calculate a length of two sides defined between a third vertex and other two vertices based on the two-dimensional coordinates.

Abstract: A trajectory estimation device that includes an acquisition unit that acquires wave data based on a wave detected by a plurality of sensors; a generation unit that generates a spectrogram using the wave data; an extraction unit that extracts a Doppler shift from the spectrogram; a selection unit that selects, as a sensor pair, two of the sensors that satisfy a preset selection condition for the Doppler shift; and an estimation unit that estimates a trajectory of a wave source, which is a source generating the wave, based on a positional relationship between the sensors constituting the sensor pair and a relationship of the Doppler shifts between the two sensors constituting the sensor pair.

Abstract: An inspection support apparatus (10) includes: an acquisition unit (11) configured to acquire information about specifications of a three-dimensional sensor, information about a shape and a planned placement position of each member to be inspected, and information about a planned installation position of the three-dimensional sensor; a simulation unit (12) configured to: calculate a distance between the planned placement position of each member and the planned installation position of the three-dimensional sensor based on the information acquired by the acquisition unit (11); generate virtual point group data, a plurality of times for each calculated distance and for each member; and obtains a range of variations of variances in a predetermined direction based on the virtual point group data, and a determination unit (13) configured to determine whether or not each member can be distinguished at the planned placement position thereof based on the above-described range of variations.

Abstract: An information processing apparatus (10) includes a time and space information acquisition unit (110) that acquires high-risk time and space information indicating a spatial region with an increased possibility of an accident occurring or of a crime being committed and a corresponding time slot, a possible surveillance target acquisition unit (120) that identifies a video to be analyzed from among a plurality of videos generated by capturing an image of each of a plurality of places, on the basis of the high-risk time and space information, and analyzes the identified video to acquire information of a possible surveillance target, and a target time and space identification unit (130) that identifies at least one of a spatial region where surveillance is to be conducted which is at least a portion of the spatial region or a time slot when surveillance is to be conducted, from among the spatial region and the time slot indicated by the high-risk time and space information, on the basis of the information of the

Abstract: Provided is an information processing system including: a voice information acquisition unit that acquires voice information including an utterance made by a person; a status acquisition unit that acquires status information related to status of the person; and a support information generation unit that generates support information used for supporting operation of the person based on the voice information and the status information.

Abstract: An information processing device of the present invention includes a detection means that detects the content of an image, a determination means that determines a processing mode for the image based on the result of detection of the content of the image, and an execution means that executes processing for a captured image corresponding to the processing mode.

Abstract: An authentication system (1) is provided with: a first imaging apparatus (3) that obtains a first image (300) used for an authentication by capturing an image of a first imaging range; a second imaging apparatus (3) that obtains a second image (200) by capturing an image of a second imaging range that is wider than the first imaging range; and a control apparatus (6) that selects a target person (Ta) for the authentication on the basis of a target area (TA) in the second image that includes a predetermined portion (TP) of a person (T) and a reference area (RA) in the second image that corresponds to the first imaging range.

Abstract: Provided is an object detection device or the like which efficiently generates good-quality training data. This object detection device is provided with: a detection unit which uses a dictionary to detect objects from an input image; a reception unit which displays, on a display device, the input image accompanied by a display emphasizing partial areas of detected objects, and receives, from one operation of an input device, a selection of a partial area and an input of the class of the selected partial area; a generation unit which generates training data from the image of the selected partial area and the inputted class; and a learning unit which uses the training data to learn the dictionary.

Abstract: A measurement device acquires first point cloud data at a first measurement position and second point cloud data at a second measurement position; determines a rotation axis for positional adjustment; determines, based on the rotation axis, the first point cloud data, and the second point cloud data, an evaluation function indicating a region that is a union set of one or more columnar bodies as an evaluation function representing desirability of a positional adjustment result; and calculates a positional adjustment parameter that optimizes the evaluation function based on the rotation axis, the first point cloud data, and the second point cloud data.

Abstract: A system for monitoring event related data including a sensor data analyzer, an event analyzer and an actuator is disclosed. The sensor data analyzer detects events based on sensor data, the event analyzer couples to the sensor data analyzer and estimates the size of the detected entire events based on event related data of the detected events from the sensor data analyzer, and the actuator couples to the sensor data analyzer and the event analyzer and actuates a predetermined device based on the estimated size of the detected entire events.

Abstract: In order to provide an evaluation apparatus that appropriately evaluates a risk from continuous execution of an application without stopping execution of the application, an evaluation apparatus includes a first obtaining section, an evaluating section, and an output section. The first obtaining section is configured to obtain application information related to an application being executed on a server. The evaluating section is configured to evaluate a risk degree from continuous execution of the application on the server, based on the application information. The output section is configured to output an evaluation result of the risk degree.

Abstract: This machine-learning device is provided with: a detection unit which detects a loss of consistency with a lapse of time in a determination result for unit data, the determination result being output from a determination unit that generates a learning model to be used when performing prescribed determination for one or more pieces of the unit data that form time series data; and a selection unit which selects, on the basis of the result of detection by the detection unit, unit data to be used as teacher data when the determination unit updates the learning model, thereby efficiently raising the accuracy of the learning model when machine learning is performed on the basis of the time series data.

Abstract: A surveillance system (1) includes an area information acquisition unit (101), a position information acquisition unit (102), a candidate determination unit (103), and a notification unit (104). The area information acquisition unit (101) acquires information of a surveillance-desired area. The position information acquisition unit (102) acquires pieces of position information of a plurality of portable terminals (20), each portable terminal performing surveillance using an image capturing unit. The candidate determination unit (103) determines a candidate portable terminal (20) to be moved to the surveillance-desired area from among the plurality of portable terminals (20) based on the acquired pieces of position information of the plurality of portable terminals (20). The notification unit (104) outputs a notification to the candidate portable terminal requesting to move to the surveillance-desired area.

Abstract: A vehicle entry control device according to an aspect of the present disclosure includes: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: acquire first driver information that is information indicating a driving tendency of a driver of a vehicle approaching a predetermined control target area; determine whether the vehicle is a target vehicle of entry restriction to a control target area based on the first driver information; and notify the vehicle determined as the target vehicle of entry restriction of information for preventing entry into the control target area.

Abstract: A rehabilitation planning apparatus, a rehabilitation planning system, a rehabilitation planning method, and a program capable of efficiently creating a rehabilitation plan are provided. A rehabilitation planning apparatus (1) includes a rehabilitation pattern selection unit (2), an ability value prediction unit (3) that predicts a physical ability value after a target patient performs rehabilitation indicated in a selected rehabilitation pattern, a repetition control unit (4) that performs control so that the selection by the rehabilitation pattern selection unit (2) and the prediction by the ability value prediction unit (3) are repeated, and a determination unit (5) that determines a rehabilitation pattern for, among combinations of rehabilitation patterns and physical ability values obtained through the repetition of the selection and the prediction, a combination of which the physical ability value satisfies a predetermined condition as a rehabilitation plan for the target patient.

Abstract: A rehabilitation planning apparatus, a rehabilitation planning system, a rehabilitation planning method, and a program capable of efficiently creating a rehabilitation plan are provided. A rehabilitation planning apparatus (1) includes a rehabilitation pattern selection unit (2), an ability value prediction unit (3) that predicts a physical ability value after a target patient performs rehabilitation indicated in a selected rehabilitation pattern, a repetition control unit (4) that performs control so that the selection by the rehabilitation pattern selection unit (2) and the prediction by the ability value prediction unit (3) are repeated, and a determination unit (5) that determines a rehabilitation pattern for, among combinations of rehabilitation patterns and physical ability values obtained through the repetition of the selection and the prediction, a combination of which the physical ability value satisfies a predetermined condition as a rehabilitation plan for the target patient.

Abstract: An object of the present disclosure is to provide a wireless communication apparatus, a wireless communication system, a scheduling method, and a non-transitory computer-readable medium which are capable of reducing an amount of calculation for selecting a combination of wireless devices to be spatially multiplexed while suppressing degradation of communication quality. A wireless communication apparatus according to the present disclosure includes: an acquisition unit that acquires measurement results of reception quality of a plurality of beams received by a plurality of wireless devices from each of the plurality of wireless devices; a calculation unit that calculates degrees of similarity in the reception quality between the plurality of wireless devices based on the measurement results; and a selection unit that selects a combination of wireless devices to be spatially multiplexed from among the plurality of wireless devices based on the degrees of similarity.

Abstract: A document preparation support device includes a retrieval unit that retrieves a related document corresponding to text included in a document preparation command input by an author, a generation unit that generates a tentative document on the basis of the document preparation command and the retrieved related document, and an extraction unit that, on the basis of the content of a draft document generated from the tentative document by the author, extracts a check item to be reviewed by a document reviewer in the draft document.

Abstract: Images of a livestock are taken, identifiers of the livestock are acquired, and the identifiers acquired and the images taken are stored in association with one another in a storage part. The images of the livestock identified by the same identifier, which had taken at different time points, are compared. Replacement of the livestock identified by the same identifier is reported when a change in the livestock that cannot occur during a predetermined time span is detected as a result of comparison.