A pulse wave detection device detects the face from a frame image and corrects the brightness of the face in accordance with the size of the face surface to appropriately detect a pulse wave even if brightness is changed due to movement of a subject with respect to lighting. The brightness of the face depends on the distance between the lighting and the face, and this is equal to indirect measurement of the distance from the lighting to the face using the size of the face. As described above, a pulse wave detecting device estimates/measures a pulse rate of the subject from a brightness signal after intensity of the brightness of the face photographed on the frame image is corrected using the size of the face, by using the correlation between the size of the face of the subject on the frame image and the brightness of the face.

A debris accumulation control system is provided for usage within a work vehicle including an operator station and a work vehicle compartment. In embodiments, the work vehicle debris accumulation control system includes a display device located in the operator station of the work vehicle, a three dimensional (3D) imaging device having a field of view (FOV) encompassing a debris-gathering region of the work vehicle compartment, and a controller operably coupled to the display device and to the 3D imaging device. The controller is configured to: (i) utilize 3D imaging data provided by the 3D imaging device to estimate a debris accumulation risk level within the work vehicle compartment; and (ii) generate a first visual alert on the display device when the debris accumulation risk level surpasses a first predetermined threshold.

The technology relates to cargo vehicles. National, regional and/or local regulations set requirements for operating cargo vehicles, including how to distribute and secure cargo, and how often the cargo should be inspected during a trip. However, such regulations have been focused on traditional human-driven vehicles. Aspects of the technology address various issues involved with securement and inspection of cargo before a trip, as well as monitoring during the trip so that corrective action may be taken as warranted. For instance, imagery and other sensor information may be used to enable proper securement of cargo before starting a trip. Onboard sensors along the vehicle monitor the cargo and securement devices/systems during the trip to identify issues as they arise. Such information is used by the onboard autonomous driving system (or a human driver) to take corrective action depending on the nature of the issue.

A rear-view mirror and modular monitor system and method include an interior mirror that embeds a modular monitor behind see-through mirror glass. In some embodiments, the system includes multiple cameras, some in the vehicle, bus and/or truck, as well as some cameras outside the vehicle, bus and/or truck, advantageously providing the driver an opportunity to view what is happening, for example, in the back rows of the bus and/or cabin, while also using the mirror to look at objects in the bus and/or cabin that are visible using the mirror. The rear-view mirror and modular monitor system is configured to be easily assembled and/or disassembled when necessary for maintenance and/or to replace parts.

Configuration, in which images output to a display unit are switched and displayed in accordance with the behavior of a driver, such as movements of the head of the driver, is achieved. Driver information indicating the behavior of the driver of a moving apparatus and images captured by a plurality of cameras that images a situation around the moving apparatus from different viewpoints are input. The images output to the display unit are switched in accordance with the driver information. The plurality of cameras is, for example, a plurality of rear cameras installed in the rear of the moving apparatus. For example, a direction of the face or line-of-sight of the driver is detected. An image in a direction corresponding to the detected direction of the face or line-of-sight of the driver is selected as an output image, and displayed on the display unit. Alternatively, an image in a direction indicated by a gesture of the driver is selected, and displayed on the display unit.

A display image is obtained in accordance with a deviation of a viewpoint position of a driver from a reference viewpoint position, on the basis of a captured image obtained by capturing an image on a rear side from a vehicle. The reference viewpoint position is updated on the basis of a long-term fluctuation of the viewpoint position. For example, the reference viewpoint position is not updated when a line-of-sight of the driver is in a certain region including a display unit that displays a display image. For example, when a viewpoint position of the driver enters a certain region corresponding to a seated state, there is registered, as an initial reference viewpoint position, a viewpoint position of the driver in a case where a line-of-sight of the driver is continuously present for a certain period of time on the display unit that displays a display image.

The present disclosure is directed to apparatuses, systems and methods for automatically classifying digital images of occupants inside a vehicle. More particularly, the present disclosure is directed to apparatuses, systems and methods for automatically classifying digital images of occupants inside a vehicle by comparing current image data to previously classified image data.

A vehicle includes an occupant space and seats for occupants. The seats are arranged, viewed in a travel direction of the vehicle, one behind the other in the occupant space. The vehicle also includes an image capturing device configured to capture an image of a respective seat and/or an occupant sitting in the respective seat, and a display device configured to display an image captured by the image capturing device in a region of another seat and/or in a field of view of an occupant sitting in the other seat.

An affixable device can include a locking mechanism, a force-limiting mechanism, and a sensing mechanism. The locking mechanism can include an engagement component configured to disable the locking mechanism. The force-limiting mechanism can be configured to limit a locking force of the locking mechanism. The sensing mechanism can be coupled to the engagement component, and can be configured to determine that the force-limiting mechanism has limited the locking force of the locking mechanism. In response to determining the force-limiting mechanism limiting the locking force, the sensing mechanism can cause the engagement component to disable the locking mechanism.

A sensing device can include an accelerometer, a transceiver, and a computing device in communication with the accelerometer and transceiver. The computing device can transmit a first set of signals at a first power level to a remote device. The computing device can determine, via the accelerometer, a movement of the sensing device. The computing device can increase a power level for transmission from the first power level to a second power level in response to the movement. The computing device can transmit future signals at the second power level to the remote device.