Processing system for dynamic event verification and sensor selection

1. A computing device comprising:

at least one processor;

a communication interface communicatively coupled to the at least one processor; and

memory storing computer-readable instructions that, when executed by the at least one processor, cause the computing device to:

receive, from a first sensor device, first source data comprising driving data associated with a first vehicle over a first time period;

determine, based on the first source data, that the first vehicle experienced an event, resulting in an event output;

generate, in response to determining the event, a request for a second sensor device to send second source data associated with the first vehicle over the first time period;

receive, from the second sensor device, the second source data after generating the request;

determine, based on a comparison of the first source data and the second source data, an event comparison output indicating a correlation between the first source data and the second source data;

determine that the event comparison output exceeds a comparison threshold; and

send, in response to determining that the event comparison output exceeds the comparison threshold, an indication of the event.

2. The computing device of claim 1 , wherein determining that the first vehicle experienced the event comprises comparing the first source data and one or more machine learning datasets using one or more machine learning algorithms.

3. The computing device of claim 1 , wherein the memory stores additional computer-readable instructions that, when executed by the at least one processor, further cause the computing device to:

determine that the event comparison output does not exceed the comparison threshold; and

update, in response to determining that the event comparison output does not exceed the comparison threshold, one or more machine learning datasets used for event determination.

4. The computing device of claim 3 , wherein the memory stores additional computer-readable instructions that, when executed by the at least one processor, further cause the computing device to:

generate, in response to determining that the event comparison output exceeds the comparison threshold, one or more commands directing a mobile device to cause display of an event confirmation;

establish a wireless connection with the mobile device; and

send, to the mobile device and while the wireless connection is established, the one or more commands to the mobile device.

5. The computing device of claim 1 , wherein the first sensor device is a sensor of a first mobile device or a first vehicle sensor.

6. The computing device of claim 5 , wherein the second sensor device is a sensor of a second mobile device or a second vehicle sensor.

7. The computing device of claim 1 , wherein the first sensor device is located in the first vehicle and the second sensor device is located in a second vehicle.

8. The computing device of claim 1 , wherein the computing device is part of an event analysis server with wireless connections established with the first sensor device and the second sensor device.

9. The computing device of claim 1 , wherein the first source data includes a first type of data, and wherein the second source data includes a second type of data different than the first type of data.

10. A method comprising:

at a computing device comprising at least one processor, a communication interface, and memory:

receiving, from a first sensor device, first source data comprising driving data associated with a first vehicle over a first time period;

determining, based on the first source data, that the first vehicle experienced an event, resulting in an event output;

generating, in response to determining the event, a request for a second sensor device to send second source data associated with the first vehicle over the first time period;

receiving, from the second sensor device, the second source data after generating the request;

determining, based on a comparison of the first source data to the second source data, an event comparison output indicating a correlation between the first source data and the second source data;

determining that the event comparison output exceeds a comparison threshold; and

sending, in response to determining that the event comparison output exceeds the comparison threshold, an indication of the event.

11. The method of claim 10 , wherein determining that the first vehicle experienced the event comprises comparing the first source data and one or more machine learning datasets using one or more machine learning algorithms.

12. The method of claim 10 , further comprising:

determining that the event comparison output does not exceed the comparison threshold; and

updating, in response to determining that the event comparison output does not exceed the comparison threshold, one or more machine learning datasets used for event determination.

13. The method of claim 12 , further comprising:

generating, in response to determining that the event comparison output exceeds the comparison threshold, one or more commands directing a mobile device to cause display of an event confirmation;

establishing a wireless connection with the mobile device; and

sending, to the mobile device and while the wireless connection is established, the one or more commands to the mobile device.

14. The method of claim 10 , wherein the first sensor device is a sensor of a first mobile device or a first vehicle sensor.

15. The method of claim 14 , wherein the second sensor device is a sensor of a second mobile device or a second vehicle sensor.

16. The method of claim 10 , wherein the first sensor device is located in the first vehicle and the second sensor device is located in a second vehicle.

17. The method of claim 10 , wherein the computing device is part of an event analysis server with wireless connections established with the first sensor device and the second sensor device.

18. The method of claim 10 , wherein the first source data includes a first type of data, and wherein the second source data includes a second type of data different than the first type of data.

19. One or more non-transitory computer-readable media storing instructions that, when executed by a computing device comprising at least one processor, a communication interface, and memory, cause the computing device to:

receive, from a first sensor device, first source data comprising driving data associated with a first vehicle over a first time period;

determine, based on the first source data, that the first vehicle experienced an event, resulting in an event output;

generate, in response to determining the event, a request for a second sensor device to send second source data associated with the first vehicle over the first time period;

receive, from the second sensor device, the second source data after generating the request;

determine, based on a comparison of the first source data and the second source data, an event comparison output indicating a similarity between the first source data and the second source data;

determine that the event comparison output exceeds a comparison threshold; and

send, in response to determining that the event comparison output exceeds the comparison threshold, an indication of the event.

20. The one or more non-transitory computer-readable media of claim 19 , wherein determining that the first vehicle experienced the event comprises comparing the first source data and one or more machine learning datasets using one or more machine learning algorithms.