Method and system for providing artificial intelligence analytic (AIA) services for performance prediction
One embodiment of the present invention predicts a vehicular event relating to machinal performance using information obtained from interior and exterior sensors, vehicle onboard computer (“VOC”), and cloud data. The process of predication is able to activate interior and exterior sensors mounted on a vehicle operated by a driver for obtaining current data relating to external surroundings, interior settings, and internal mechanical conditions of the vehicle. After forwarding the current data to VOC to generate a current vehicle status representing real-time vehicle performance in accordance with the current data, retrieving a historical data associated with the vehicle including mechanical condition is retrieved. In one aspect, a normal condition signal is issued when the current vehicle status does not satisfy with the optimal condition based on the historical data. Alternatively, a race car condition is issued when the current vehicle status meets with the optimal condition.
1. A method able to predict an event relating to vehicle performance in accordance with information obtained from a plurality of interior and exterior sensors, vehicle onboard computer (“VOC”), and cloud data, the method comprising:
activating at least a portion of a plurality of interior and exterior sensors mounted on a vehicle operated by a driver for obtaining current data relating to external surroundings, interior settings, and internal mechanical conditions of the vehicle;
forwarding the current data to the VOC to generate a current vehicle status representing substantially real-time vehicle performance in accordance with the current data;
retrieving a historical data associated with the vehicle including mechanical condition associated with the vehicle; and
issuing a normal condition signal when the current vehicle status does not satisfy with optimal condition based on the historical data.
2. The method of claim 1 , further comprising;
uploading the current vehicle status to a vehicle performance predictor at least partially residing at a cloud via a communications network; and
obtaining big data from the cloud representing large car samples having similar attributes as the vehicle.
3. The method of claim 2 , further comprising comparing the current vehicle status with the big data and the historical data to assess whether the vehicle operates in a normal condition.
4. The method of claim 3 , further comprising issuing a race car condition when the current vehicle status meets with the optimal condition based on the historical data.
5. The method of claim 4 , further comprising forwarding the current vehicle status to a subscriber for evaluating driver's driving skill.
6. The method of claim 2 , wherein obtaining big data from the cloud representing large car samples further includes accumulating information from cars with similar brands, similar mileages, similar years, similar geographic location, and similar drivers.
7. The method of claim 1 , further comprising forwarding the current vehicle status to a subscriber for assessing normal wearing and tearing.
8. The method of claim 7 , further comprising scheduling a maintenance appointment with the driver based on the current vehicle status.
9. The method of claim 7 , further comprising initiating a manufacture recall for automobiles similar to the vehicle at least partially based on the current vehicle status.
10. The method of claim 1 , further comprising updating the historical data in response to the current data.
11. The method of claim 1 , wherein activating at least a portion of a plurality of interior and exterior sensors includes:
enabling a set of outward facing cameras mounted on the vehicle for recording external surrounding images representing a geographic environment in which the vehicle operates; and
initiating one or more inward facing cameras mounted in the vehicle for collecting interior images of the vehicle.
12. The method of claim 1 , wherein activating at least a portion of a plurality of interior and exterior sensors includes activating a set of internal sensors attached to various mechanical components for measuring at least one of temperatures, functionalities, and audio sounds associated with mechanical components within the vehicle.
13. The method of claim 1 , wherein activating at least a portion of the plurality of interior and exterior sensors includes detecting driver's response time based on a set of identified road conditions and information from a controller area network (“CAN”) bus of the vehicle.
14. The method of claim 1 , wherein activating at least a portion of the plurality of interior and exterior sensors includes recording real-time data relating to vehicle performance, road condition, traffic congestion, and weather condition.