A system that determines a condition of wearing of a seat belt, including: a marker provided on at least a part of the seat belt; an image capture processing unit that emits electromagnetic waves of the prescribed wavelength band toward a predetermined range and that creates an image indicating intensity distribution of electromagnetic waves of the prescribed wavelength band, based on reflected waves reflected in the predetermined range; a shape estimating unit that estimates a shape of an occupant based on the image, detects the marker from the image, and estimates a shape of the seat belt based on the marker detected; and a determining unit that determines the condition of wearing of the seat belt by the occupant, based on a positional relationship between the occupant and the seat belt.

A seatbelt detection system detects seatbelt use in each seat of a passenger aircraft to produce safety-compliance data. A computer system, which is communicatively coupled to the seatbelt detection system, generates a time-based record of the safety-compliance data. The computer system can use the time-based record to adapt cabin operations policy, including cabin temperature, cabin lighting, illumination of seatbelt signs, scheduling of meal or drink service, timing of inflight announcements, or the availability of in-flight entertainment.

Apparatus for detecting a proper wearing status of a safety belt of a safety belt assembly in a motor vehicle includes a sensor device which is at least partially disposed in or on the safety belt and configured to output a sensor value as a function of a dependency on a disposition of the safety belt. An evaluation device determines in response to the sensor value output by the sensor device, whether an occupant of the motor vehicle properly wears the safety belt.

An apparatus includes a first capture device, a second capture device and a processor. The first capture device may generate a first plurality of video frames corresponding to an interior view of a vehicle. The second capture device may generate a second plurality of video frames corresponding to an area outside of the vehicle. The processor may be configured to perform operations to detect objects in the video frames, detect occupants of the vehicle based on the objects detected in the first video frames, determine whether a potential collision is unavoidable based on the objects detected in the second video frames and select a reaction if the potential collision is unavoidable. The reaction may be selected to protect occupants determined to be vulnerable based on characteristics of the occupants. The characteristics may be determined by performing the operations on each of the occupants.

In one embodiment, a system of detecting seat belt operation in a vehicle includes at least one light source configured to emit a predetermined wavelength of light onto structures within the vehicle, wherein at least one of the structures is a passenger seat belt assembly having a pattern that reflects the predetermined wavelength at a preferred luminance. At least one 3-D time of flight camera is positioned in the vehicle to receive reflected light from the structures in the vehicle and provide images of the structures that distinguish the preferred luminance of the pattern from other structures in the vehicle. A computer processor connected to computer memory and the camera includes computer readable instructions causing the processor to reconstruct 3-D information in regard to respective images of the structures and calculate a depth measurement of the distance of the reflective pattern on the passenger seat belt assembly from the camera.

A system and related method for monitoring an occupant within a vehicle using a plurality of convolutional neural networks includes a processor, a sensor having a field of view that includes at least a portion of the occupant, and a memory. The memory may include a feature map module, a key point head module, a part affinity field head module, and a seatbelt head module. The modules include instructions that cause the processor to generate a key point heat map indicating a probability that a pixel is a joint of a plurality of joints of the occupant, a part affinity field heat map indicating a pairwise relationship between at least two joints of the plurality of joints of the occupant, and a seatbelt heat map indicating a likelihood that a pixel of the input image is a seatbelt.

A wheelchair securing structure includes: a securing device provided in a wheelchair securing space inside a vehicle cabin, the securing device being configured to secure a wheelchair; a securing detection portion configured to detect that the wheelchair is secured by the securing device; and a display portion provided at a position where the display portion is visually recognizable by an occupant of the wheelchair from the wheelchair securing space inside the vehicle cabin, the display portion being configured to display a secured state of the wheelchair, the secured state being detected by the securing detection portion.

An apparatus includes a capture device and a processor. The capture device may be configured to generate a plurality of video frames corresponding to an interior view of a vehicle. The processor may be configured to perform operations to detect objects in the video frames, detect (a) occupants of the vehicle and (b) seats of the vehicle based on the objects detected in the video frames, determine a status of a seatbelt for each of the occupants and select a reaction based on (a) a state of the seatbelt and (b) characteristics of the occupants. The reaction may be selected to encourage proper usage of the seatbelt based on the characteristics of the occupants. The characteristics may be determined by performing the operations on each of the occupants.

A computer-implemented method is provided for predicting occupant location based on vehicular collision. The method includes receiving, at a computing system including one or more processors, information indicative of a vehicle crash involving a vehicle occupant. The method also includes receiving, at the computing system, information indicative of a position of the vehicle occupant within the vehicle prior to the vehicle crash. The method also includes determining, by the one or more processors, a probability of ejection of the vehicle occupant according to (i) the information indicative of the vehicle crash and (ii) the position of vehicle occupant. The method also includes providing, by the computing system, the probability of ejection of the vehicle occupant to one or more emergency responders.

A computer implemented method for detecting whether a seat belt is used in a vehicle comprises the following steps carried out by computer hardware components: acquiring an image of an interior of the vehicle; determining a plurality of sub-images based on the image; detecting, for at least one of the sub-images, whether a portion of the seat belt is present in the respective sub-image; and determining whether the seat belt is used based on the detecting.