Nec Corporation

The University of Tokyo

Shoji Yachida

Takashi Shibata

Keiichi Chono

Masato Tsukada

Yuka Ogino

Chisato Funayama

Yasuhiko Yoshida

Emi Kitagawa

Yusuke Mori

Hiroshi Imai

Ryuichi Akashi

Toru Takahashi

Hiroshi Yamada

Keiko Inoue

Shigeaki Namiki

Soma Shiraishi

Toshinori Hosoi

Azusa Sawada

Michiaki Inoue

Tatsuo Akiyama

Naoto Yamamoto

Toshihiko Hiroaki

Toyokazu Narumi

Tomohiro Sueishi

Emi Inui

An inspection apparatus has: a gripping unit that grips a container filled with a liquid; a first lighting unit that emits light onto the liquid from one longitudinal end side of the container; and a second lighting unit that emits light onto the liquid from the other longitudinal end side of the container. The first lighting unit and the second lighting unit are arranged on a same side as an imaging device that acquires image data showing a state of the liquid as seen from the container, and are each installed so as to emit light onto the liquid from a position where a center axis passing through a center of the container is tilted by any angle of 0 degrees or more and 40 degrees or less.

Inspection apparatus for inspecting a container

A determination apparatus includes: a dividing unit configured to divide chronological image data acquired by imaging a liquid filled in a container while switching between a plurality of illumination conditions, into chronological image data corresponding to the illumination conditions; and a determining unit configured to determine foreign matter contained in the container based on each of the chronological image data obtained by division by the dividing unit.

Determination apparatus

The image recognition apparatus includes an image selection unit and a recognition unit. The image selection unit selects a feature image representing a feature portion of an object from among captured images of a time series in which the object is photographed. For example, the feature image corresponds to an image showing an abnormal portion. The recognition unit performs a recognition process of the object using the feature image. By the recognition process, an abnormality of the object is detected.

Image recognition apparatus, image recognition method, and recording medium

An authentication device includes an image acquisition unit, an identification unit, and an authentication unit. The image acquisition unit acquires an image of an eye of a subject. The identification unit identifies the colored pattern of a colored contact lens worn by the subject by comparing a reference image with the image of the eye. The authentication unit identifies the subject, using a feature in a region other than a colored region of the colored pattern in the iris region of the eye.

Authentication device, authentication method, and recording medium

An object tracking apparatus () includes a target determination information acquisition unit (), an image processing unit (), and a control unit (). The target determination information acquisition unit () acquires target determination information determining an object to be tracked. The image processing unit () detects the object to be tracked and tracks the detected object by performing image processing on a to-be-processed region being a partial region of an image acquired from an imaging apparatus (). The control unit () controls an imaging range of the imaging apparatus () in such a way that the object to be tracked is included in the to-be-processed region.

Object tracking apparatus, object tracking method, and program

An inspection system includes: a suspended matter detecting and tracking means that detects and tracks suspended matter present in the liquid in the container in chronological images obtained by consecutively imaging the liquid with a camera; a determining and storage controlling means that determines, based on a movement locus of the tracked suspended matter, whether the suspended matter is foreign matter or an air bubble, and stores inspection result information including a result of the determination and information of the movement locus of the suspended matter used as a basis for the determination into a storing means in association with identification information of the container; and a display controlling means that causes a displaying means to display the result of the determination and the information of the movement locus of the suspended matter used as the basis for the determination included by the inspection result information.

Inspection system

A 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 an input image including an eye region that is a region of an eye part; estimate illuminance of the eye part from the acquired input image; and determine a light amount of illumination of visible light with which the eye part is irradiated in such a way that a pupil size of the eye part satisfies a size condition based on an illuminance size relationship that is a relationship between the illuminance and the pupil size.

Determination of light amount of illumination of visible light with which the eye part is irradiated such that pupil size satisfies a size condition

An information processing system includes a first acquisition unit, a second acquisition unit, a movement control unit, and a state evaluation unit. The first acquisition unit acquires, from a first imaging unit, image data relating to a first image of a head of a subject that is captured at a first angle of view. The second acquisition unit acquires, from a second imaging unit, image data relating to a second image of an eye region of the subject that is captured at a second angle of view narrower than the first angle of view. The movement control unit moves a visual field range of the second imaging unit. The state evaluation unit evaluates a change in state of the eye of the subject.

Information processing system, eye state measurement system, information processing method, and non-transitory computer readable medium

The disclosure is detecting an authentication target who is moving in a predetermined direction in a video; inputting a first image in which an entire body of the target; calculating characteristic information from an image of the entire body in the first image, comparing the calculated characteristic information with characteristic information of the entire body stored in first memory that stores characteristic information of entire bodies of targets, and extracting candidate information of the targets from the first memory based on a first authentication result; inputting a second image in which an iris of the target; and comparing characteristic information of irises stored in second memory that stores the characteristic information of the irises of targets with characteristic information of an iris from the second image, calculating a verification score, executing second authentication on the target in the second image based on the verification score, and outputting an authentication result.

An information providing device according to one aspect of the present disclosure includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: receive a face image; determine whether a person in the face image is unsuitable for iris data acquisition based on the face image; and output information based on determining that the person is unsuitable for the iris data acquisition when the person is determined to be unsuitable for the iris data acquisition.

Information providing device, information providing method, and storage medium

An information processing apparatus determines a direction (first direction ()) from a sensor () toward a moving object () by detecting the moving object () using the sensor (). The information processing apparatus causes a camera () to perform imaging while moving the optical axis direction () of the camera () along the first direction (). As a result, a plurality of captured images (), each of which is captured in the different direction, are generated by the camera (). The information processing apparatus () detects the moving object () by performing image analysis on the captured image ().

Information processing apparatus, control method, and program

The learning apparatus classifies target domain data into (N-c) classes based on unique features of the target domain data, classifies source domain data into N classes based on unique features of the source domain data, and classifies the target domain data and the source domain data into the N classes based on common features of the target domain data and the source domain data. Also, the learning apparatus calculates a first distance between the common features of the target domain data and the source domain data, and calculates a second distance between the unique features of the target domain data and the source domain data. Next, the learning apparatus updates parameters of a common feature extraction unit based on the first distance, and updates parameters of a target domain feature extraction unit and a source domain feature extraction unit based on the second distance.

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Tokyo, Japan

Shoji Yachida