Omron Corporation

Yuki Hanzawa

Masashi Kurita

Motoo Yamamoto

Shun Sakai

Hiroyuki Tanaka

Atsushi Irie

Takahiro Takayama

Tatsuya Murakami

Yutaka Kato

Sakon Yamamoto

Takashi Ohta

Shigenori Nagae

Kazuya Urabe

Yuki Hasegawa

Yuichi Abe

An inspection apparatus according to one or more embodiments extracts an attention area from a target image using a first estimation model, performs a computational process with a second estimation model using the extracted attention area, and determines whether a target product has a defect based on a computational result from the second estimation model. The first estimation model is generated based on multiple first training images of defect-free products in a target environment. The second estimation model is generated based on multiple second training images of defects. The computational process with the second estimation model includes generating multiple feature maps with different dimensions by projecting the target image into different spaces with lower dimensions. The extracted attention area is integrated into at least one of the multiple feature maps in the computational process with the second estimation model.

Inspection apparatus, unit selection apparatus, inspection method, and computer-readable storage medium storing an inspection program

A data generation apparatus includes: an acquisition unit configured to acquire an image of an object to be inspected including a defect, and a region of the image that includes the defect; a correction unit configured to correct the region acquired by the acquisition unit by expanding an outer edge of the region so that the number of pixels included in the region is increased by a predetermined amount; and a generation unit configured to generate learning data by associating the region corrected by the correction unit with the image.

Data generation apparatus, data generation method, and data generation program

An inspection apparatus includes: an image capturing apparatus configured to capture an image of an object to be inspected: a determination unit configured to determine, based on the image, whether or not the object to be inspected includes a defect, using an identification device that has been trained using learning data: an input unit configured to accept an input indicating whether or not a determination result by the determination unit is correct; an extraction unit configured to extract a partial image of the image based on which the determination has been made; and a generation unit configured to generate new learning data based on the partial image, if a fact that the determination result by the determination unit is not correct has been input.

Inspection apparatus, data generation apparatus, data generation method, and data generation program

A data generation apparatus includes: an acquisition unit configured to acquire a result determined by a determination unit, which uses an identification device trained using learning data, as to whether or not an object to be inspected includes a part to be detected based on an image of the object to be inspected; an evaluation unit configured to evaluate whether or not the determination result is correct; and a generation unit configured to generate, if the evaluation unit has evaluated that the determination result is not correct, new learning data by associating at least one of the image and a composite image generated based on the image with information in which the determination result is corrected.

An image display apparatus configured to zoom display an image to be displayed on a display area has a position specifying unit that specifies a position of an object contained in a displayed image, a position deciding unit that decides a positional relationship between an outer frame of the display area and the position of the object, and a zoom speed changing unit that changes a zoom speed in the zoom display depending on the decided positional relationship.

Image display apparatus, method of controlling image display apparatus, image display program, and computer readable recording medium recording the same

A gesture recognition device configured to detect a gesture from acquired image and generate command issued to a control target instrument according to the gesture, the gesture recognition device comprising: an image acquisition unit configured to acquire an image; a gesture acquisition unit configured to detect a target region performing a gesture from the acquired image, and acquire the gesture based on motion or a shape of the detected target region; a face detection unit configured to detect a face comprised in the acquired image; a correlation unit configured to correlate the detected target region with the detected face using a human body model representing a shape of a human body; a personal identification unit configured to identify a user corresponding to the detected face; and a command generation unit configured to generate a command issued to the control target instrument based on the identified user and the acquired gesture.

Gesture recognition device and control method for the same

A gesture recognition device that recognizes a gesture of a person from an image captured by a camera, and outputs information to an electronic apparatus in order to control the electronic apparatus based on the recognized gesture, has a person determination section that determines whether the person is included in the image, and an output section that outputs person out-of-view angle notification instruction information issuing an instruction to make a notification that the image of the person is not captured, when the person determination section determines that the person is not included in the image.

Gesture recognition device, electronic apparatus, gesture recognition device control method, control program, and recording medium

To generate a high resolution image of higher quality depending on a target area. An image processing apparatus includes a blur amount estimating unit configured to estimate a blur amount in a set target area in each of images indicated by a plurality of low resolution image data, and a reference image selecting unit configured to select a low resolution image to be a reference for generating the high resolution image depending on the estimated blur amount.

Image processing apparatus and method for generating a high resolution image

An image processing device selects an image in which sharpness of a photographic subject is relatively high compared with sharpness of a background. The image processing device includes a photographic subject detection unit that identifies a photographic subject region on an image, which includes a predetermined photographic subject, by detecting the predetermined photographic subject from the image, a background region identifying unit that identifies a background region on the image, which is other than the photographic subject region, a sharpness identifying unit that identifies sharpness of the photographic subject region and sharpness of the background region, a score calculation unit that calculates a score based on a difference in the sharpness between the photographic subject region and the background region, and a determination unit which determines the image as an optimum image when the score indicates that photographic subject region is clearer than the background region.

Device and method for determining an optimum image

An authentication apparatus comprises an extraction part configured to extract a feature of a face from a face image of a user; a plurality of classifiers configured to identify the user by determining whether or not the feature extracted by the extraction part matches a feature of a face stored in a storage apparatus; a deriving part configured to derive a specific condition based on at least one of the feature extracted by the extraction part and information for authenticating the user; a selecting part configured to select at least one of the classifiers based on the specific condition; and an authentication part configured to authenticate the user when the selected classifier determines that the feature extracted by the extraction part matches the feature of the face stored in the storage.

Growing community of inventors

Nara, Japan

Yuki Hanzawa