Apparatus and method for vehicle profiling
An apparatus for vehicle profiling, the apparatus including at least a sensor, wherein the at least a sensor is configured to capture vehicle data of a vehicle; at least a processor; and a memory communicatively connected to the at least processor, the memory contains instructions configuring the at least processor to receive the vehicle data from the at least a sensor; generate a graphic model of the vehicle as a function of the vehicle data; determine a vehicle status as a function of the vehicle data; classify the vehicle status and the vehicle data into one or more vehicle status groups wherein the vehicle status includes at least a vehicle measurement; and generate a vehicle report as a function of the one or more vehicle status groups.
1. An apparatus for vehicle profiling, the apparatus comprising:
at least a sensor, wherein the at least a sensor is configured to capture vehicle data of a vehicle;
at least a processor;
at least a vehicle database, wherein the vehicle database is a data structure configured to store data associated with the vehicle, wherein the vehicle database stores previously inputted instructions from a user; and
a memory communicatively connected to the at least a processor, the memory contains instructions configuring the at least a processor to:
receive the vehicle data from the at least a sensor;
generate a graphic model of the vehicle as a function of the vehicle data;
determine a vehicle status as a function of the vehicle data, wherein the vehicle status further comprises a vehicle contamination status;
classify the vehicle status and the vehicle data into one or more vehicle status groups wherein the vehicle status comprises at least a vehicle measurement;
generate a vehicle status report as a function of the one or more vehicle status groups;
store the vehicle status report in the vehicle database; and
generate a wash command as a function of the vehicle status report.
2. The apparatus of claim 1 , wherein the vehicle status comprises a vehicle damage status.
3. The apparatus of claim 1 , wherein the vehicle status comprises a vehicle gate status.
4. The apparatus of claim 1 , wherein determining the vehicle status comprises identifying at least a surface model of the vehicle.
5. The apparatus of claim 4 , wherein identifying the at least a surface model of the vehicle comprises an edge detection algorithm.
6. The apparatus of claim 4 , wherein identifying the at least a surface model of the vehicle comprises an image classifier.
7. The apparatus of claim 1 , wherein the one or more vehicle status groups have at least a common attribute.
8. The apparatus of claim 1 , wherein the vehicle status and the vehicle data are classified into the one or more vehicle status groups using a group classifier.
9. The apparatus of claim 8 , wherein the group classifier is trained using group training data, wherein the group training data correlates the vehicle data and the vehicle status to the one or more vehicle status groups.
10. A method for vehicle profiling, the method comprising:
providing at least a sensor, wherein the at least a sensor is configured to capture vehicle data of a vehicle;
providing at least a processor;
providing at least a vehicle database, wherein the vehicle database is a data structure configured to store data associated with the vehicle, wherein the vehicle database stores previously inputted instructions from a user; and
providing a memory communicatively connected to the at least a processor, the memory contains instructions configuring the at least a processor to:
receive the vehicle data from the at least a sensor;
generate a graphic model of the vehicle as a function of the vehicle data;
determine a vehicle status as a function of the vehicle data, wherein the vehicle status further comprises a vehicle contamination status;
classify the vehicle status and the vehicle data into one or more vehicle status groups wherein the vehicle status comprises at least a vehicle measurement;
generate a vehicle status report as a function of the one or more vehicle status groups store the vehicle status report in the vehicle database; and
generate a wash command as a function of the vehicle status report.
11. The method of claim 10 , wherein the vehicle status comprises a vehicle damage status.
12. The method of claim 10 , wherein the vehicle status comprises a vehicle gate status.
13. The method of claim 10 , wherein determining the vehicle status comprises identifying at least a surface model of the vehicle.
14. The method of claim 13 , wherein identifying the at least a surface model of the vehicle comprises an edge detection algorithm.
15. The method of claim 13 , wherein identifying the at least a surface model of the vehicle comprises an image classifier.
16. The method of claim 10 , wherein the one or more vehicle status groups have at least a common attribute.
17. The method of claim 10 , wherein the vehicle status and the vehicle data are classified into the one or more vehicle status groups using a group classifier.
18. The method of claim 17 , wherein the group classifier is trained using group training data, wherein the group training data correlates the vehicle data and the vehicle status to the one or more vehicle status groups.
19. The apparatus of claim 8 , wherein the group classifier is a machine-learning model.
20. The method of claim 17 , wherein the group classifier is a machine-learning model.