A computer is programmed to identify first and second regions of an image representing a seatbelt, actuate an output device to deliver a first output upon detecting an absence of the seatbelt in the first region and in the second region, and actuate the output device to deliver a second output upon detecting an absence of the seatbelt in the first region and a presence of the seatbelt in the second region.

A system and a method for detecting misuse of the seat belt includes a sensor unit detecting an occupant seated on a seat and a seat belt and a controller detecting an occupant based on an image signal detected through the sensor unit while the seat belt is fastened, separately detecting a shoulder webbing and a lap webbing of the seat belt, and determining whether the seat belt is worn normally or abnormally based on the detected result to warn that the seat belt is abnormally worn.

In accordance with various embodiments, methods, systems, and vehicles are provided. In various embodiments, the vehicle includes a body; one or more occupant seats disposed within the body for an occupant of the vehicle; and, for each occupant seat, a restraint device, one or more sensible elements, and one or more sensors. The restraint device is configured to provide restraint for the occupant when the restraint device is properly worn by the occupant. The one or more sensors are disposed within the occupant seat. The one or more sensible elements are disposed as part of the restraint device. The one or more sensors are disposed within the occupant seat, and are configured to sense the one or more sensible elements when the one or more sensible elements are in proximity to the one or more sensors, as an indication that the restraint device is not properly worn by the occupant.

Disclosed is a method of detecting a seat belt of a vehicle, the method comprising: storing, by a controller, a pattern before an occupant of a vehicle wears a seat belt webbing and a pattern after the occupant of the vehicle wears the seat belt webbing photographed through a region of interest of a vision sensor in a memory; receiving, by the controller, an image for the seat belt webbing photographed in the region of interest of the vision sensor; determining, by the controller, whether the pattern of the seat belt webbing stored in the memory is detected from the image of the seat belt webbing; and when the pattern of the seat belt webbing is not detected, controlling, by the controller, a display device to display a first warning message indicating that the seat belt webbing is not detected.

Example illustrations herein are directed to systems and methods for determining whether a vehicle driver meets a seat belt criteria based upon a detection of each of a set of seat belt conditions. In an example, the set of conditions includes at least the vehicle driver occupying a driver seat of the vehicle, expiration of a minimum delay time after the vehicle driver is occupying the driver seat, and an engagement of a driver's seat belt latch with a corresponding buckle after the expiration of the minimum delay time, and a positioning of a driver's seat belt on a shoulder of the vehicle driver. The method may also include enabling a first vehicle feature if the vehicle driver meets the seat belt criteria. The first vehicle feature may be disabled if the vehicle driver does not meet the seat belt criteria.

A system includes an in-cabin sensor, a seatbelt routing zone module, and a seatbelt routing classification module. The in-cabin sensor is operable to generate an image of an occupant in a vehicle seat. The seatbelt routing zone module is configured to generate a seatbelt routing zone based on at least one of a size of the occupant in the image and a shape of the occupant. The seatbelt routing classification module is configured to determine whether a seatbelt is routed properly around the occupant based on whether the seatbelt is at least partially within the seatbelt routing zone.

A safety belt is intended to be installed on an aircraft seat and includes a first part and a second part which are able to be joined together by means of a buckle to hold the passenger on the seat. The safety belt may also include a status detection system able to transmit information relating to the fastening status of the safety belt, a presence detection system able to transmit information relating to the presence of a passenger wearing the safety belt, and/or a communications module, notably wireless, able to transmit information relating to the fastening of the safety belt and/or to the presence of a passenger wearing the safety belt.

A vehicle seat connector assembly comprising a first connector coupled to the seat of the vehicle and including a first inductive coil. A second connector is coupled to the vehicle and includes a second inductive coil. The first and second connectors are positioned relative to each other into a first relationship with the first and second connectors coupled to each other and the first and second inductive coils positioned opposite each other to define a closed inductive coil circuit and a second relationship with the first and second connectors and the first and second inductive coils separated from each other to define an open inductive coil circuit. A third inductive coil is located on the vehicle seat belt buckle and a coil cable extends between the first inductive coil of the first connector and the third inductive coil.

Various implementations include a system for adjusting the position of a seatbelt in a vehicle. The system includes a shoulder anchor, at least one sensor, and a processor. The shoulder anchor is for receiving a seatbelt. The shoulder anchor is movable relative to a seat disposed within the vehicle. The processor is in electrical communication with the sensor and a memory. The processor executes computer-readable instructions stored on the memory. The instructions cause the processor to receive sensor data from the sensor, determine whether the seatbelt is within an expected area on a person in the seat based on the received sensor data, and cause the shoulder anchor to move relative to the seat in response to the seatbelt being outside of the expected area on the person in the seat such that the seatbelt is moved into the expected area.

The methods and systems herein enable relative movement-based seatbelt use detection. Image data of an occupant of a vehicle is received over time. The image data is then input into a machine-learned model or other module that determines whether relative movement between one or more portions of the occupant and corresponding portions of a seatbelt are less than a threshold amount. If the relative movement is less than the threshold amount, an indication of seatbelt misuse (e.g., a fake seatbelt) is output to a vehicle component. By basing the indication of seatbelt misuse on relative movement between the occupant and the seatbelt, seatbelt use detection may be improved.