Abstract: An awakening effort motion estimation device includes processing circuitry configured to acquire a captured image obtained by imaging an occupant's face in a vehicle; detect, on a basis of the captured image having been acquired, two reference points for estimating a motion of the occupant's mouth, the two reference points including one point on a mask worn by the occupant, and the other point being a point based on a feature point of the occupant's face or a point different from the one point on the mask in the captured image; calculate a reference point distance between the detected two reference points; and estimate whether or not the occupant is performing an awakening effort motion by moving his or her mouth depending on whether or not the calculated reference point distance satisfies an awakening effort estimating condition.

Abstract: A driver availability detection device includes an information acquisition unit to acquire information related to an occupant and a threshold setting unit to set an abnormal-state determination threshold for estimating the abnormal state of the occupant on a basis of an abnormal state score obtained by inputting the information related to the occupant acquired by the information acquisition unit to a machine learning model within a first threshold setting time.

Abstract: A passenger state detection device (100) includes: a correction parameter setting unit (30) for setting a correction parameter for a captured image captured by a camera (2) for capturing a vehicle interior for each of detection items in passenger state detecting process including the multiple detection items using at least one of a feature amount in a face part area that corresponds to a passenger's face part in the captured image or a feature amount in a structure area that corresponds to a structure in the vehicle interior in the captured image; and an image correcting unit (40) for correcting the captured image for each of the detection items in the passenger state detecting process using the correction parameter set by the correction parameter setting unit (30).

Abstract: A passenger state detection device (100) includes: a correction parameter setting unit (30) for setting a correction parameter for a captured image captured by a camera (2) for capturing a vehicle interior for each of detection items in passenger state detecting process including the multiple detection items using at least one of a feature amount in a face part area that corresponds to a passenger's face part in the captured image or a feature amount in a structure area that corresponds to a structure in the vehicle interior in the captured image; and an image correcting unit (40) for correcting the captured image for each of the detection items in the passenger state detecting process using the correction parameter set by the correction parameter setting unit (30).

Abstract: An eyelid detection device includes a face feature point detecting unit for detecting outer and inner eye corners as face feature points from a captured image, an eye region detecting unit for detecting an eye region including both an upper eyelid area and an eye area from the captured image on the basis of the face feature points, and an upper eyelid detecting unit for, for each of a plurality of divided areas into which the eye region is divided, detecting the boundary between the upper eyelid area and the eye area on the basis of the pattern of arrangement of the intensity values of pixels aligned in the divided region, and for connecting the boundary detected for each of the divided regions, to determine an upper eyelid.

Abstract: A passenger detection device (10) includes a face image obtaining unit (12) obtaining a face image captured in a state in which a passenger in a vehicle irradiated with irradiation light from light sources. The device further includes: a reflected-image position detecting unit (14) detecting, from the face image, positions of respective reflected images of the light sources reflected on eyeglasses worn by the passenger; an eyeglasses feature detecting unit (15) detecting, from the face image, positions of center points of lenses as feature information of the eyeglasses; a head position detecting unit (16) detecting a head position of the passenger on the basis of the positions of respective reflected images; and a face orientation detecting unit (17) detecting face orientation of the passenger on the basis of relation between the head position of the passenger, the positions of respective reflected images, and the positions of center points of lenses.

Abstract: An eyelid detection device includes a face feature point detecting unit for detecting outer and inner eye corners as face feature points from a captured image, an eye region detecting unit for detecting an eye region including both an upper eyelid area and an eye area from the captured image on the basis of the face feature points, and an upper eyelid detecting unit for, for each of a plurality of divided areas into which the eye region is divided, detecting the boundary between the upper eyelid area and the eye area on the basis of the pattern of arrangement of the intensity values of pixels aligned in the divided region, and for connecting the boundary detected for each of the divided regions, to determine an upper eyelid.

Abstract: A passenger detection device (10) includes a face image obtaining unit (12) obtaining a face image captured in a state in which a passenger in a vehicle irradiated with irradiation light from light sources. The device further includes: a reflected-image position detecting unit (14) detecting, from the face image, positions of respective reflected images of the light sources reflected on eyeglasses worn by the passenger; an eyeglasses feature detecting unit (15) detecting, from the face image, positions of center points of lenses as feature information of the eyeglasses; a head position detecting unit (16) detecting a head position of the passenger on the basis of the positions of respective reflected images; and a face orientation detecting unit (17) detecting face orientation of the passenger on the basis of relation between the head position of the passenger, the positions of respective reflected images, and the positions of center points of lenses.