Abstract: A distance measurement camera contains a first optical system OS1 for forming a first subject image, a second optical system OS2 for forming a second subject image, an imaging part S for imaging the first subject image and the second subject image and a distance calculating part 4 for performing calculation depending on image heights of distance measurement target points of the first subject image and the second subject image corresponding to a distance measurement target point of a subject 100 to calculate the distance to the subject 100 based on an image magnification ratio between a magnification of the first subject image and a magnification of the first subject image and a magnification of the second subject image.

Abstract: A distance measurement camera 1 contains a first optical system OS1 for collecting light from a subject 100 to form a first subject image, a second optical system OS2 for collecting the light from the subject 100 to form a second subject image, an imaging part S for imaging the first subject image formed by the first optical system OS1 and the second subject image formed by the second optical system OS2, and a distance calculating unit 4 for calculating the distance to the subject 100 based on the first subject image and the second subject image imaged by the imaging part S. The distance calculating part 4 calculates the distance to the subject 100 based on an image magnification ratio between a magnification of the first subject image and a magnification of the second subject image.

Abstract: A distance measurement camera contains a first optical system OS1 for forming a first subject image, a second optical system OS2 for forming a second subject image, an imaging part S for imaging the first subject image and the second subject image and a distance calculating part 4 for performing calculation depending on image heights of distance measurement target points of the first subject image and the second subject image corresponding to a distance measurement target point of a subject 100 to calculate the distance to the subject 100 based on an image magnification ratio between a magnification of the first subject image and a magnification of the first subject image and a magnification of the second subject image.

Abstract: An authentication device comprising: a first imaging system for capturing a first optical image of an authentication subject; a second imaging system for capturing a second optical image of the authentication subject; a distance calculation unit for calculating a distance to each of a plurality of sites on the face of the authentication subjecton the basis of the first optical image and the second optical image; a three-dimensional information generation unit for generating three-dimensional information for the face of the authentication subject on the basis of the distance to each of the plurality of sites on the face of the authentication subject as calculated by the distance calculation unit; and an authentication unit configured so as to be capable of using the three-dimensional information for the face of the authentication subject as calculated by the three-dimensional information generation unit to execute a three-dimensional face authentication of the authentication subject.

Abstract: A distance measurement camera 1 contains a first optical system OS1 for collecting light from a subject 100 to form a first subject image, a second optical system OS2 for collecting the light from the subject 100 to form a second subject image, an imaging part S for imaging the first subject image formed by the first optical system OS1 and the second subject image formed by the second optical system OS2, and a distance calculating unit 4 for calculating the distance to the subject 100 based on the first subject image and the second subject image imaged by the imaging part S. The distance calculating part 4 calculates the distance to the subject 100 based on an image magnification ratio between a magnification of the first subject image and a magnification of the second subject image.

Abstract: A driver monitoring device is provided. The driver monitoring device includes a detection unit that detects an unbalanced posture of a driver based on an image of a driver's seat of a vehicle captured by a camera; a determination unit that determines whether or not the unbalanced posture of the driver detected by the detection unit is a habitual posture of the driver; and a notification unit that notifies the driver of the unbalanced posture in different manners in accordance with whether the unbalanced posture determined is the habitual posture of the driver or the unbalanced posture determined is other than the habitual posture of the driver.

Abstract: A state monitoring device mounted in a vehicle includes: a light emitter to emit light to irradiate a predetermined area; an imaging unit to image an imaging area including the predetermined area; a state monitoring unit to monitor a state of the driver based on an image generated by the imaging unit; a state determination unit to determine whether the driver is ready to drive the vehicle or unready to drive the vehicle; and a light emission control unit to execute specific processing to lower a light emitting function of the light emitter when the state determination unit determines that the driver is unready to drive the vehicle, specific processing to lower a light emitting function of the light emitter and not to lower the light emitting function of the light emitter when the state determination unit determines that the driver is ready to drive the vehicle.

Abstract: A driver check apparatus includes: a face image acquisition portion that obtains a face image of a driver in a vehicle; an extraction portion that extracts a face orientation and/or a sight direction of the driver, based on the face image obtained by the face image acquisition portion while the vehicle is stopped; and a first determination portion that determines whether the face orientation and/or the sight direction extracted by the extraction portion is within a predetermined visual recognition range in which a passenger in the vehicle is visually recognized.

Abstract: A driver monitoring device is provided. The driver monitoring device includes a detection unit that detects an unbalanced posture of a driver based on an image of a driver's seat of a vehicle captured by a camera; a determination unit that determines whether or not the unbalanced posture of the driver detected by the detection unit is a habitual posture of the driver; and a notification unit that notifies the driver of the unbalanced posture in different manners in accordance with whether the unbalanced posture determined is the habitual posture of the driver or the unbalanced posture determined is other than the habitual posture of the driver.

Abstract: A state monitoring device mounted in a vehicle includes: a light emitter to emit light to irradiate a predetermined area; an imaging unit to image an imaging area including the predetermined area; a state monitoring unit to monitor a state of the driver based on an image generated by the imaging unit; a state determination unit to determine whether the driver is ready to drive the vehicle or unready to drive the vehicle; and a light emission control unit to execute specific processing to lower a light emitting function of the light emitter when the state determination unit determines that the driver is unready to drive the vehicle, specific processing to lower a light emitting function of the light emitter and not to lower the light emitting function of the light emitter when the state determination unit determines that the driver is ready to drive the vehicle.

Abstract: A driver check apparatus includes: a face image acquisition portion that obtains a face image of a driver in a vehicle; an extraction portion that extracts a face orientation and/or a sight direction of the driver, based on the face image obtained by the face image acquisition portion while the vehicle is stopped; and a first determination portion that determines whether the face orientation and/or the sight direction extracted by the extraction portion is within a predetermined visual recognition range in which a passenger in the vehicle is visually recognized.

Abstract: A sleepiness level determination device includes: a detector processing a face image of an user and for detecting an eye image of the user based on the face image; a characteristic value calculating unit calculating a characteristic value regarding the eye based on the eye image; a sleepiness level determining unit determining a sleepiness level based on the characteristic value; and a reliability calculating unit calculating reliability of the sleepiness level based on the characteristic value.

Abstract: An open-eye or closed-eye determination apparatus is provided with: an image capture section 11 for capturing an image of a region including the eye of an investigation subject; a width of eye opening measurement section 12 for detecting top and bottom eyelids of an investigation subject from the image captured by the image capture section 11 and measuring the width of eye opening between the edges of the top and bottom eyelids; a filter section 13 for subjecting the width of eye opening measured by the width of eye opening measurement section 12 to filter processing; and an open-eye or closed-eye determination section 14 for determining closed-eye when a value of the width of eye opening obtained by the filter section 13 minus the width of eye opening measured by width of eye opening measurement means is greater than a threshold value, and determining open-eye when this difference is a threshold value or less.

Abstract: A biosensor senses pulse wave data of a user. The biosensor stores relation information, which indicates a relationship between recommended bedtime data and sleep-affecting activity data. The relationship between the recommended bedtime data and the sleep-affecting activity data is determined in view of at least one of previously sensed pulse wave data of the user and model pulse wave data. The biosensor receives at least one sleep-affecting activity value from the user. The biosensor computes recommended bedtime information based on the at least one sleep-affecting activity value in view of the relation information. The biosensor gives notification to the user based on the recommended bedtime information.

Abstract: A wakefulness maintaining apparatus includes an event detecting part, a drowsiness level determining part, a threshold setting part, and a stimulus supplying part. The event detecting part detects an event related to a drowsiness of a person. The drowsiness level determining part determines a drowsiness level that changes in accordance with a strength of the drowsiness. The threshold setting part sets a threshold value to divide the drowsiness level into a first level range and a second level range in such a manner that the first level range is equal to or lower than the threshold value and the second level range is higher than the threshold value. The stimulus supplying part supplies a stimulus having an awaking effect to the person when the drowsiness level is in the second level range and the event is detected.

Abstract: A sleepiness level determination device includes: a detector processing a face image of an user and for detecting an eye image of the user based on the face image; a characteristic value calculating unit calculating a characteristic value regarding the eye based on the eye image; a sleepiness level determining unit determining a sleepiness level based on the characteristic value; and a reliability calculating unit calculating reliability of the sleepiness level based on the characteristic value.

Abstract: A wakefulness maintaining apparatus includes an event detecting part, a drowsiness level determining part, a threshold setting part, and a stimulus supplying part. The event detecting part detects an event related to a drowsiness of a person. The drowsiness level determining part determines a drowsiness level that changes in accordance with a strength of the drowsiness. The threshold setting part sets a threshold value to divide the drowsiness level into a first level range and a second level range in such a manner that the first level range is equal to or lower than the threshold value and the second level range is higher than the threshold value. The stimulus supplying part supplies a stimulus having an awaking effect to the person when the drowsiness level is in the second level range and the event is detected.

Abstract: A driver's condition detection device is for detecting a first life information indicating a driver's degree of activity. The driver's condition classification device is for classifying the first life information into at least two regions. The driver's condition determination device is for determining the driver's condition based on a distribution of the first life information in the regions.

Abstract: A detecting apparatus for detecting a living body information includes a sensor body provided to contact a surface of a living body, and a band fixing bar elongated in a longitudinal direction, through which a band is engaged and is detachably connectable to the sensor body. In the detecting apparatus, the sensor body has a pair of holding portions for holding end portions of the band fixing bar in the longitudinal direction. The holding portion has an inlet concave portion from which the end portion of the band fixing bar is inserted, and a recess portion for receiving the end portion of the band fixing bar. Furthermore, the recess portion communicates with the inlet concave portion and recesses toward the living body, and the end portion of the band fixing bar is fitted into the recess portion. Therefore, the band fixing bar does not easily come off from the sensor body.

Abstract: A biosensor senses pulse wave data of a user. The biosensor stores relation information, which indicates a relationship between recommended bedtime data and sleep-affecting activity data. The relationship between the recommended bedtime data and the sleep-affecting activity data is determined in view of at least one of previously sensed pulse wave data of the user and model pulse wave data. The biosensor receives at least one sleep-affecting activity value from the user. The biosensor computes recommended bedtime information based on the at least one sleep-affecting activity value in view of the relation information. The biosensor gives notification to the user based on the recommended bedtime information.