Abstract: A dataset generation system has a camera classification circuitry configured to classify plural cameras into plural groups, an input device for a user to set a selecting criterion of a captured image, a first captured image collection circuitry configured to collect captured images which are captured by at least one camera in each group classified by the camera classification circuitry, and which meet the selecting criterion set by a user using the input device, an inference circuitry configured to perform inference processing on each of the captured images collected by the first captured image collection circuitry and a dataset evaluation circuitry configured to evaluate whether or not a dataset consisting of the captured images collected by the first captured image collection circuitry is suitable for a training dataset of a neural network model for a predetermined inference process, based on the result of the inference processing by the inference circuitry.

Abstract: A signage control system comprises: a primary estimation circuitry to use signage-side images and surveillance-side images to estimate a person feature, attributes and behavior of each person captured in these frame images; a storage device to associate and store results of estimations of the person feature, the attributes and the behavior of each specific person; an estimation result linkage circuitry to use the person feature stored in the storage device to link the results of estimations based on the frame images from multiple ones of the cameras for the same person so as to generate a group of estimation results for each person; and a content change circuitry to change a content displayed on the signage to another based on the attributes of each person expected to be in a position where such person can visually recognize the content on the signage, and based on preceding behavior of such person.

Abstract: An attribute recognition system has a person face detection circuitry to detect a suitable person or face for recognition of at least one attribute from persons or faces captured in frame images input from at least one camera to capture a given capture area, an identification information assignment circuitry to identify the persons or faces captured in the frame images having been subjected to the detection by the person face detection circuitry so as to assign an identification information to each identified person or face, and an attribute recognition circuitry to recognize the attribute of a person or face assigned with the identification information, only if the person or face is yet without being subjected to recognition of the attribute, and at the same time if the person or face has been detected by the person face detection circuitry as a suitable person or face for the recognition of the attribute.

Abstract: An image analysis device has: an image analysis circuitry to analyze images input from each of cameras using instances of an image analysis program including a learned neural network model for object detection and learned neural network models for object recognition; inference processors to perform inference processes in the learned neural network model for object detection and each learned neural network model for object recognition; and a processor assignment circuitry to assign, from the inference processors, inference processors to be used for the inference process in the learned neural network model for object detection and the inference process in each learned neural network model for object recognition, based on inference time and frequency of use required for the inference process in each of the learned neural network models for object detection and object recognition included in each instance of the image analysis program.

Abstract: A signage control system comprises: a primary estimation circuitry to use signage-side images and surveillance-side images to estimate a person feature, attributes and behavior of each person captured in these frame images; a storage device to associate and store results of estimations of the person feature, the attributes and the behavior of each specific person; an estimation result linkage circuitry to use the person feature stored in the storage device to link the results of estimations based on the frame images from multiple ones of the cameras for the same person so as to generate a group of estimation results for each person; and a content change circuitry to change a content displayed on the signage to another based on the attributes of each person expected to be in a position where such person can visually recognize the content on the signage, and based on preceding behavior of such person.

Abstract: An attribute recognition system has a person face detection circuitry to detect a suitable person or face for recognition of at least one attribute from persons or faces captured in frame images input from at least one camera to capture a given capture area, an identification information assignment circuitry to identify the persons or faces captured in the frame images having been subjected to the detection by the person face detection circuitry so as to assign an identification information to each identified person or face, and an attribute recognition circuitry to recognize the attribute of a person or face assigned with the identification information, only if the person or face is yet without being subjected to recognition of the attribute, and at the same time if the person or face has been detected by the person face detection circuitry as a suitable person or face for the recognition of the attribute.

Abstract: An image analysis device has: an image analysis circuitry to analyze images input from each of cameras using instances of an image analysis program including a learned neural network model for object detection and learned neural network models for object recognition; inference processors to perform inference processes in the learned neural network model for object detection and each learned neural network model for object recognition; and a processor assignment circuitry to assign, from the inference processors, inference processors to be used for the inference process in the learned neural network model for object detection and the inference process in each learned neural network model for object recognition, based on inference time and frequency of use required for the inference process in each of the learned neural network models for object detection and object recognition included in each instance of the image analysis program.

Abstract: An information equipment has obtained identification information including a store ID indicating a predetermined shop store. An application ID indicating a game application running on information equipment and a user ID indicating a user of the game application are received together with the store ID over a network from the information equipment. A first database which manages a progress level of the game for the user in association with the application ID and the user ID and a second database which manages the application ID and a first game remuneration ID indicating a first game remuneration corresponding to the progress level are referred to, in accordance with the application ID and the user ID. First indication data indicating that the first game remuneration corresponding to the progress level of the game is provided to the user of the game application is transmitted over the network to the information equipment.

Abstract: An information processing method is an information processing method executable by a server device. The information processing method includes obtaining first position information from a first portable terminal that has received a beacon signal from a first beacon device, the first position information being information indicating a current position of the first portable terminal, calculating a probability of abnormal condition of the first beacon device by comparing the obtained first position information with second position information indicating an installation position of the first beacon device, the second position information being managed in advance by the server device, and performing a process corresponding to the calculated probability of abnormal condition.

Abstract: A safety level indication arrangement for a motor vehicle includes a first camera capturing first images of an environment surrounding the motor vehicle. A second camera captures second images of a driver of the motor vehicle. A microphone is associated with the passenger compartment and produces a microphone signal dependent upon sounds within the passenger compartment. At least one vehicle sensor detects an operational parameter of the motor vehicle. A display device is associated with the passenger compartment. A loudspeaker is associated with the passenger compartment. An electronic processor ascertains a safety level based on the first images and the operational parameter of the motor vehicle. The electronic processor determines how to present the ascertained safety level to the driver by use of the display device and/or the loudspeaker. The determining is dependent upon the second images and the microphone signal.

Abstract: Examples of the present disclosure relate to a device joining system for a vehicle. For example, the system can include a requesting device including a sensor to detect requesting device environmental information and a grouping controller to send the requesting device environmental information to a vehicle server. In an example, the system can include a vehicle server that includes a grouping evaluator to send to the requesting device a join decision. The join decision can be based on a probability calculated from the requesting device environmental information and device environmental information which is detected by a device in the group.

Abstract: A method of pairing a smartphone to a head unit in a motor vehicle includes determining whether the smartphone is in motion by use of an accelerometer within the smartphone. A first signal is transmitted from the head unit to the smartphone. A first RSSI is received from the head unit. The first RSSI is indicative of a strength of the first signal. A second signal is transmitted from the head unit to the smartphone. A second RSSI is received from the head unit. The second RSSI is indicative of a strength of the second signal. Pairing between the smartphone and the head unit is initiated only if it was determined that the smartphone is in motion, the second RSSI is greater than the first RSSI, and the second RSSI is greater than a threshold value.

Abstract: A vehicle includes a user interface having a plurality of components. A global positioning system determines a geographical location of the vehicle. An electronic processor is communicatively coupled to the user interface and the global positioning system. The electronic processor wirelessly receives data regarding road and traffic conditions from an external source. The electronic processor also determines which of the user interface components to use to present entertainment content to a driver of the vehicle based on the data regarding road and traffic conditions and the geographical location of the vehicle.

Abstract: An information processing method is an information processing method executable by a server device. The information processing method includes obtaining first position information from a first portable terminal that has received a beacon signal from a first beacon device, the first position information being information indicating a current position of the first portable terminal, calculating a probability of abnormal condition of the first beacon device by comparing the obtained first position information with second position information indicating an installation position of the first beacon device, the second position information being managed in advance by the server device, and performing a process corresponding to the calculated probability of abnormal condition.

Abstract: An information equipment has obtained identification information including a store ID indicating a predetermined shop store. An application ID indicating a game application running on information equipment and a user ID indicating a user of the game application are received together with the store ID over a network from the information equipment. A first database which manages a progress level of the game for the user in association with the application ID and the user ID and a second database which manages the application ID and a first game remuneration ID indicating a first game remuneration corresponding to the progress level are referred to, in accordance with the application ID and the user ID. First indication data indicating that the first game remuneration corresponding to the progress level of the game is provided to the user of the game application is transmitted over the network to the information equipment.

Abstract: A generation section 102 generates a group of which an information communication terminal having transmitted a group generation request is representative. A region control section 103 sets a group region of the generated group based on a state at a position at which the representative information communication terminal is located. A determination section 104 determines whether or not an information communication terminal having transmitted a group participation request is within the group region, and permits, when the information communication terminal is determined to be within the group region, the information communication terminal to participate in the group.

Abstract: In an information processing device 1 for running a multitask application, an priority information generating unit 104 generates priority information, in accordance with source information and processing performance with respect to each task (i.e. a time required for processing the task and a frame rate at which the task is processed) to be run in the information processing device 1. The source information indicates frequencies of event occurrence as the measure of likelihood that, when an input has been received in an input unit 12 of a content task currently running, another input following the input is to be received. The generated priority information indicates timings for changing the priorities upon reception by the input unit 12 and indicates priorities to be set at the timings. In accordance with the generated priority information, the priority control device 10 performs control of changing the priorities of the content tasks.

Abstract: Aims to be provided is a marker display control device which facilitates detection of markers, while reducing the loss of viewability of a screen picture, which is the display contents to be primarily presented on a display apparatus. The marker display control device includes a marker detecting unit for detecting a marker from an image obtained by shooting the display apparatus and a marker-display-mode changing unit for instructing the display apparatus to change the display mode of the detected marker, based on the marker detection. For example, the marker display control device reduces the display area occupied by the marker to reduce the loss of viewability of what is displayed on the display apparatus, while ensuring that the marker remains in a detectable size.

Abstract: Provided is a device selection control apparatus for selecting a specific target device for control from among a plurality of candidate devices. A device center position detection section (14) detects position information of the candidate devices detected by the device detection section (12), and sets an allowable shake threshold value of the candidate device based on the initially detected position information. A determination section (16) acquires a shake amount of the candidate device by using the latest position information received from the device center position detection section (14), and the initially detected position information, and determines to switch to zoom processing on the picture information when the shake amount exceeds an allowable shake threshold value. A picture processing section (18) performs the zoom processing on the picture information when the determination section (16) determines to switch to the zoom processing.

Abstract: A plurality of image files (Pa,Pb) are linked to obtain one linked image file 306 on the image contents server 300 side. Then, the linked image file is expanded only once, then only data of the necessary image file is cut out by looking up original image file group information (D1, 308), and then the data is displayed on a displaying portion 46 on the mobile terminal 100 side.