Abstract: An information processing apparatus includes: an image acquisition unit that acquires an image including a predetermined area through which a plurality of persons pass toward any one of a plurality of gate apparatuses including a face authentication gate apparatus; an information acquisition unit that acquires position information about a terminal apparatus that displays at least a part of a plurality of authentication results of face authentication performed by using the image; and a determination unit that determines a priority degree of notification of at least a part of the plurality of authentication results, based on a type corresponding to the plurality of authentication results and the position information.

Abstract: It comprises a position estimating means 11 for estimating a position of an authenticated person from an image generated by imaging a predetermined space, and a display controlling means 12 for controlling display of authenticated person information I relating to the authenticated person in accordance with the position of the authenticated person.

Abstract: An information processing apparatus includes: an acquisition unit that acquires biometric information on a user located in an authentication area; an authentication unit that performs authentication processing based on the biometric information; an authentication difficulty degree determination unit that determines an authentication difficulty degree indicating a possibility that the user reaches outside the authentication area without completing the authentication processing; and an output timing determination unit that determines output timing of a result of the authentication processing in accordance with the authentication difficulty degree. According to such an information processing apparatus, it is possible to output the authentication result at appropriate timing.

Abstract: In an information processing apparatus, the person identifying means identifies a person who has entered a facility. The group estimation means estimates a group including a plurality of persons. The group presentation means presents an estimation result of the group to the person. The group setting means sets the group based on a response to the estimation result of the group.

Abstract: A detection object analysis unit (4) is a parameter determination apparatus that determines parameters of a plurality of anchor boxes to be used in a sliding window method when a bounding box and a class of an object in an image are detected using a neural network and the sliding window method. The detection object analysis unit (4) includes a distribution generation unit (11) that generates distribution information of parameters of bounding boxes indicated by object specifying information of a plurality of pieces of learning data. The detection object analysis unit (4) includes a clustering processing unit (12) that generates a plurality of clusters by clustering the distribution information. The detection object analysis unit (4) includes a parameter determination unit (13) that determines the parameters of the plurality of anchor boxes based on the plurality of clusters.

Abstract: In an information processing apparatus, the person identifying means identifies a person who has entered a facility. The group estimation means estimates a group including a plurality of persons. The group presentation means presents an estimation result of the group to the person. The group setting means sets the group based on a response to the estimation result of the group.

Abstract: It comprises a position estimating means 11 for estimating a position of an authenticated person from an image generated by imaging a predetermined space, and a display controlling means 12 for controlling display of authenticated person information I relating to the authenticated person in accordance with the position of the authenticated person.

Abstract: A portion rectangle estimation unit estimates a specific portion of a human body from an image, and outputs a first portion rectangle. A first human body rectangle estimation unit estimates the human body corresponding to the specific portion in the first portion rectangle based on coordinates of the first portion rectangle, and outputs a first human body rectangle. A second human body rectangle estimation unit estimates the human body from the image, and outputs a second human body rectangle. A second portion rectangle estimation unit estimates the specific portion corresponding to the human body in the second human body rectangle based on coordinates of the second human body rectangle, and outputs a second portion rectangle. A human body integration unit integrates duplicate human rectangles based on at least a relationship between the portion rectangles with respect to a plurality of pairs of mutually corresponding portion rectangles and human body rectangles.

Abstract: In an information processing apparatus, the person identifying means identifies a person who has entered a facility. The group estimation means estimates a group including a plurality of persons. The group presentation means presents an estimation result of the group to the person. The group setting means sets the group based on a response to the estimation result of the group.

Abstract: In an information processing apparatus, the person identifying means identifies a person who has entered a facility. The group estimation means estimates a group including a plurality of persons. The group presentation means presents an estimation result of the group to the person. The group setting means sets the group based on a response to the estimation result of the group.

Abstract: A portion rectangle estimation unit estimates a specific portion of a human body from an image, and outputs a first portion rectangle. A first human body rectangle estimation unit estimates the human body corresponding to the specific portion in the first portion rectangle based on coordinates of the first portion rectangle, and outputs a first human body rectangle. A second human body rectangle estimation unit estimates the human body from the image, and outputs a second human body rectangle. A second portion rectangle estimation unit estimates the specific portion corresponding to the human body in the second human body rectangle based on coordinates of the second human body rectangle, and outputs a second portion rectangle. A human body integration unit integrates duplicate human rectangles based on at least a relationship between the portion rectangles with respect to a plurality of pairs of mutually corresponding portion rectangles and human body rectangles.

Abstract: An information display apparatus (1) includes: a display unit (14); an input unit (13) configured to receive an input for designating desired personal information that is requested to be displayed on the display unit; and a determination unit (12, 122) configured to determine, based on permission data (112) designating personal information that is permitted to be displayed on the display unit, whether or not the desired personal information is able to be displayed on the display unit.

Abstract: In an information processing apparatus, the person identifying means identifies a person who has entered a facility. The group estimation means estimates a group including a plurality of persons. The group presentation means presents an estimation result of the group to the person. The group setting means sets the group based on a response to the estimation result of the group.

Abstract: The human body detection device estimates a head from an image, and outputs coordinates and a confidence level of the head rectangle including the head. Next, the human body detection device estimates and outputs a human body candidate area in which the human body corresponding to the head is predicted to exist based on the coordinates of the head rectangle. Then, the human body detection device estimates the human body rectangle including the human body based on the human body candidate area, and outputs coordinates and a confidence level of the human body rectangle.

Abstract: A detection object analysis unit (4) is a parameter determination apparatus that determines parameters of a plurality of anchor boxes to be used in a sliding window method when a bounding box and a class of an object in an image are detected using a neural network and the sliding window method. The detection object analysis unit (4) includes a distribution generation unit (11) that generates distribution information of parameters of bounding boxes indicated by object specifying information of a plurality of pieces of learning data. The detection object analysis unit (4) includes a clustering processing unit (12) that generates a plurality of clusters by clustering the distribution information. The detection object analysis unit (4) includes a parameter determination unit (13) that determines the parameters of the plurality of anchor boxes based on the plurality of clusters.

Abstract: A cost of an engine working machine is suppressed, and startability of an engine is improved. In an engine working machine for driving a working tool by using an engine including: a fuel tank; a carburetor for supplying air-fuel mixture of fuel supplied from the fuel tank and air into a cylinder; a cylinder in which a piston is reciprocatable; and a crank case that holds the cylinder and forms a crank chamber, the engine working machine is provided with: an additional fuel supplying unit for supplying fuel to the engine separately from the carburetor; and a control unit for controlling an operation of the additional fuel supplying unit separately from supply of start-up fuel.

Abstract: A high-pressure washing device (1) includes a nozzle (31). The nozzle (31) is configured to eject a high-pressure cleaning liquid. The cleaning liquid ejected from the nozzle (31) has a pulsation pressure. A variation rate of the pulsation pressure is more than or equal to 20%.

Abstract: A high-pressure washing device includes a nozzle (31), a motor (562) a battery (7), and a pump (576). The nozzle (31) is configured to eject a high-pressure cleaning liquid. The battery (7) is configured to supply electric power to the motor (562). The pump (576) is configured to be driven by the motor (562) to eject the cleaning liquid from the nozzle (31). An ejection pressure of the cleaning liquid from the nozzle (31) is set to more than or equal to 3 Mpa.

Abstract: The motorized cutter with wheels (10) comprises a motorized cutter (20) and a carriage (30). The motorized cutter (20) is equipped with an engine (24), a blade (22) rotatably driven by the engine (24), and a light-emitting unit (50) that generates laser light (52) in the same plane as the plane of rotation of the blade (22). A roadbed (90) is then cut along a line (X) drawn on the roadbed (90) by operating the motorized cutter with wheels (10) so that the line (X) is irradiated with the laser light (52). It is possible to remove the motorized cutter (20) from the carriage (30) together with the light-emitting unit (50).

Abstract: The invention provides a two cycle engine which effectively suppresses an intrusion of a combustion gas into a crank chamber. Further, the invention provides a two cycle engine tool provided with the two cycle engine mentioned above. An engine is provided with a cylinder having two scavenge air ports at different positions in a cylinder circumference direction, and scavenge air inflow ports communicating individually with these two scavenge air ports via a scavenge air passage, and a piston in which two scavenge air communication ports are formed at positions corresponding to the scavenge air inflow ports, and is structured to swirl the gas flowing into the piston from the cylinder through the scavenge air passage, in an upper portion of the internal space of the piston, and retains the gas in the upper portion of the internal space of the piston.