A Hall sensor tracks seatbelt fitting rotation to detect diagonal belt misuse and support adaptive occupant safety responses.
Occupancy, buckle, and tag-based position sensing blocks machine startup when a seat belt is fastened incorrectly behind the user.
Two linked learning models turn vehicle, scene, occupant, and restraint data into body-motion curves for more accurate collision severity assessment.
Two yarns with different invisible-light reflectance create a detectable seat belt pattern, while overdyeing keeps the webbing visually uniform.
When a primary seat or belt feedback path fails, the vehicle switches to backup driver alerts to secure control handover.
Infrared-reflective webbing patterns and vision sensing distinguish correct seat belt wear from fake fastening or abnormal use.
Magnetic rod detection and color display show buckle lock status in dark ride restraints without touch, reducing inspection contact and assembly complexity.
Pre-switch vehicle, environment, and driver checks gate autonomous mode changes and issue corrective tasks to keep transitions safe.
A sensor-guided retractor unlocks webbing for child seat installation, then locks and retracts it to cinch slack after correct tethering.
Laser-ablated infrared markings let optical systems verify true seat belt positioning while preserving webbing durability and hidden customization.
Pre-fixing the carrier-mounted electronics to the seat belt tongue simplifies assembly, prevents dislodgment, and protects components during molding.
A recessed seat sensor mount in a board-like member hides the sensor under the cushion pad to improve comfort and maintain accurate occupancy detection.
Mounting the RFID transponder on seat belt webbing outside the body pillar enables reliable belt retractor tracking during vehicle assembly.
Image-based cabin analysis verifies proper seat belt routing, avoids buckle false positives, and removes wiring complexity in adjustable seats.