Safety system and method for an internal cabin of a vehicle
A system and a method include one or more sensors configured to detect one or more forces in relation to one or more components within an internal cabin of a vehicle. An imaging device is configured to acquire one or more images of the internal cabin of the vehicle. A control unit is in communication with the one or more sensors and the imaging device. The control unit is configured to determine one or more incidents within the internal cabin based on the one or more forces detected by the one or more sensors, and the one or more images acquired by the imaging device. The system and the method can also provide recommendations regarding actions to take in response determining incident(s).
1 . A system comprising:
one or more sensors configured to detect one or more forces in relation to one or more components within an internal cabin of a vehicle;
an imaging device configured to acquire one or more images of the internal cabin of the vehicle; and
a control unit in communication with the one or more sensors and the imaging device, wherein the control unit is configured to:
determine one or more incidents within the internal cabin based on the one or more forces detected by the one or more sensors, and the one or more images acquired by the imaging device, and
differentiate between types of incidents based on human behavior information stored in a memory, and component malfunction data stored in the memory.
2 . The system of claim 1 , further comprising a smoke detector configured to detect a presence of smoke or fire within the internal cabin of the vehicle, wherein the control unit is in communication with the smoke detector, and wherein the control unit is configured to determine the one or more incidents within the internal cabin based on the one or more forces detected by the one or more sensors, the one or more images acquired by the imaging device, and the presence of smoke or fire as detected by the smoke detector.
3 . The system of claim 1 , wherein the control unit is configured to compare the one or more forces detected by the one or more sensors with the one or more images acquired by the imaging device to determine one or both of a type of incident or a severity of the incident.
4 . The system of claim 1 , wherein the vehicle is an autonomous vehicle configured to be automatically operated to transport passengers within the internal cabin between different locations.
5 . The system of claim 1 , wherein the one or more sensors comprise one or more of:
a seat sensor configured to detect a weight or force exerted into a seat;
a window sensor configured to detect force exerted into a window; or
a wall sensor configured to detect force exerted into a wall.
6 . The system of claim 5 , wherein the one or more sensors comprise the seat sensor, the window sensor, and the wall sensor.
7 . The system of claim 1 , further comprising a user interface comprising one or both of a display or a speaker, wherein the control unit is in communication with the user interface, wherein the control unit is configured to output an alert signal to the user interface, and wherein the alert signal includes information regarding the one or more incidents.
8 . The system of claim 7 , wherein the information regarding the one or more incidents includes one or more recommended actions to resolve the one or more incidents.
9 . The system of claim 1 , wherein the control unit is further configured to automatically control one or more aspects of the vehicle in response to determining the one or more incidents.
10 . The system of claim 1 , wherein the control unit is an artificial intelligence or machine learning system.
11 . A method comprising:
detecting, by one or more sensors, one or more forces in relation to one or more components within an internal cabin of a vehicle;
acquiring, by an imaging device, one or more images of the internal cabin of the vehicle; and
determining, by a control unit in communication with the one or more sensors and the imaging device, one or more incidents within the internal cabin based on the one or more forces detected by the one or more sensors, and the one or more images acquired by the imaging device, wherein said determining comprises differentiating between types of incidents based on human behavior information stored in a memory, and component malfunction data stored in the memory.
12 . The method of claim 11 , further comprising detecting, by a smoke detector in communication with the control unit, a presence of smoke or fire within the internal cabin of the vehicle, and wherein said determining comprises determining the one or more incidents within the internal cabin based on the one or more forces detected by the one or more sensors, the one or more images acquired by the imaging device, and the presence of smoke or fire as detected by the smoke detector.
13 . The method of claim 11 , wherein said determining comprises:
comparing the one or more forces detected by the one or more sensors with the one or more images acquired by the imaging device; and
determining, by said comparing, one or both of a type of incident or a severity of the incident.
14 . The method of claim 11 , wherein the vehicle is an autonomous vehicle configured to be automatically operated to transport passengers within the internal cabin between different locations, and wherein the one or more sensors comprise:
a seat sensor configured to detect a weight or force exerted into a seat;
a window sensor configured to detect force exerted into a window; and
a wall sensor configured to detect force exerted into a wall.
15 . The method of claim 11 , further comprising outputting, by the control unit, an alert signal to a user interface comprising one or both of a display or a speaker, wherein the alert signal includes information regarding the one or more incidents.
16 . The method of claim 15 , wherein the information regarding the one or more incidents includes one or more recommended actions to resolve the one or more incidents.
17 . The method of claim 11 , further comprising automatically controlling, by the control unit, one or more aspects of the vehicle in response to determining the one or more incidents.
18 . A vehicle comprising:
an internal cabin;
one or more sensors configured to detect one or more forces in relation to one or more components within the internal cabin;
an imaging device configured to acquire one or more images of the internal cabin;
a smoke detector configured to detect a presence of smoke or fire within the internal cabin; and
a control unit in communication with the one or more sensors, the imaging device, and the smoker detector, wherein the control unit is configured to determine one or more incidents within the internal cabin based on the one or more forces detected by the one or more sensors, the one or more images acquired by the imaging device, and the presence of smoke or fire detected by the smoke detector, wherein the control unit is configured to compare the one or more forces detected by the one or more sensors with the one or more images acquired by the imaging device to determine one or both of a type of incident or a severity of the incident, and wherein the control unit is configured to differentiate between types of incidents based on human behavior information stored in a memory, and component malfunction data stored in the memory.
19 . A system comprising:
one or more sensors configured to detect one or more forces in relation to one or more components within an internal cabin of a vehicle;
an imaging device configured to acquire one or more images of the internal cabin of the vehicle;
a control unit in communication with the one or more sensors and the imaging device, wherein the control unit is configured to determine one or more incidents within the internal cabin based on the one or more forces detected by the one or more sensors, and the one or more images acquired by the imaging device; and
a user interface comprising one or both of a display or a speaker, wherein the control unit is in communication with the user interface, wherein the control unit is configured to output an alert signal to the user interface, wherein the alert signal includes information regarding the one or more incidents, and wherein the information regarding the one or more incidents includes one or more recommended actions to resolve the one or more incidents.
20 . The system of claim 19 , wherein the vehicle is an autonomous vehicle configured to be automatically operated to transport passengers within the internal cabin between different locations.