A monitoring device receives an image captured by an image capturing device mounted on a vehicle. The monitoring device performs a monitoring process for a preset monitoring range based on the captured image received from the image capturing unit. The monitoring device displays a plurality of menus indicating different monitoring ranges on a display device, and sets a monitoring range corresponding to a menu selected by the user from the plurality of menus as the monitoring range in the monitoring process.

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.

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.

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 camera system for a trailer that cooperates with a tarping system of the trailer to capture images during loading and unloading. The camera transmits the images to a display. A driver may watch the display to monitor loading and unloading. The camera system maintains a camera of the camera system positioned to capture images of an interior of the trailer regardless of the operation of the tarping system. The camera system generally includes an arm member, a pivot structure connected to the arm member, a camera connected to the arm member, and a weight connected to the arm member. Responsive to a force of gravity the camera remains oriented upward to capture images of the interior of the trailer during loading and unloading.

A vehicular vision system includes a camera disposed within a cabin of a vehicle equipped with the vehicular vision system and positionable to view within an interior cabin of the vehicle and positionable to view exterior of the vehicle through at least one window of the vehicle. The system includes an actuator disposed at the vehicle and electrically operable to rotate the camera about an axis relative to the vehicle. Multiple frames of image data captured by the camera as the camera rotates about the axis are processed at an ECU for a plurality of vehicle functions. Respective frames of image data of the multiple frames of captured image data are processed for respective vehicle functions of the plurality of vehicle functions based on respective viewing directions of the camera when the respective frames of image data are captured by the camera.

A weight management system for managing vehicle seat occupant body weight by using vehicle cameras and weight sensors of a plurality of vehicles having onboard communication modules. Each vehicle is equipped to analyze and compare weight changes of the vehicle seat occupant over time. Based on the weight status, a weight management recommendation can be transmitted to the vehicle seat occupant. Each vehicle is operatively connected to a weight management application in a data center. The weight management application includes a registration module which registers each vehicle. Additionally, a vehicle seat occupant may register with the weight management application to have his/her weight analyzed when travelling in any of the plurality of vehicles. The weight management application requests a search of a data lake and analysis of search results by a weight data artificial intelligence analytics program to improve the weight management recommendation.

A control device in a motor vehicle receives a signal from a sensor device which includes at least one image of the current interior situation. The control device generates a superimposition signal containing the at least one image of the current interior situation and transmits the superimposition signal to a display element of a display apparatus. The display apparatus superimposes the at least one image of the current interior situation onto predefined output content output to a user.

The technology provides an interior camera sensing system for self-driving vehicles. The sensor system includes image sensors and infrared illuminators to see the vehicle's cabin and storage areas in all ambient lighting conditions. The system can monitor the vehicle for safety purposes, to detect the cleanliness of the cabin and storage areas, as well as to detect whether packages or other objects have been inadvertently left in the vehicle. The cameras are arranged to focus on selected regions in the vehicle cabin and the system carries out certain actions in response to information evaluated for those regions. The interior space is divided into multiple zones assigned different coverage priorities. Regardless of elude size or configuration, certain actions are performed according to various ride checklists and the imagery detected by the interior cameras. The checklists include pre-ride, mid-ride, and post-ride checklists.

A vehicular driver monitoring system includes a camera and an electronic control unit. The camera is disposed at an interior rearview mirror assembly of the vehicle so as to view at least the face of a driver of the vehicle. The camera captures image data and the captured image data includes image data representative of the face of the driver. The vehicular driver monitoring system detects changes at the driver's eyes via processing by the image processor of image data captured by the camera, and determines driver attentiveness based at least in part on detected changes at the driver's eyes. The vehicular driver monitoring system functions as a remote Photoplethysmography system, and monitors a heart rate of the driver based at least in part on processing at the electronic control unit of image data captured by the camera, and determines impairment of the driver's capability to operate the vehicle.