Driver productivity snapshots and dynamic capture of driver status

• US 9,418,488 B1
• Filed: 10/24/2014
• Issued: 08/16/2016
• Est. Priority Date: 10/24/2014
• Status: Active Grant

• Current Assignee: Lytx, Inc.
• Original Assignee: Lytx, Inc.
• Inventors: Lambert, Daniel
• Primary Examiner(s): Trammell, James
• Assistant Examiner(s): Alsomiri, Majdi
• Application Number:
  US14/523,744
• Time in Patent Office: 662 Days
• Field of Search: 701/33.4
• US Class Current: 1/1
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/02 Registering or indicating driving, working, idle, or waiting time only apparatus forming part of taximeters G07B13/00
• CPC Class Codes: G07C 5/085 using electronic data carriers
• CPC Class Codes: G07C 5/0858 wherein the data carrier is removable
• CPC Class Codes: G07C 5/0891 Video recorder in combination with video camera

Abstract

A system for determining productivity coaching information comprises an input interface and a processor. The input interface is configured to receive vehicle event recorder data. The processor is configured to determine a first state based at least in part on a first set of vehicle event recorder data, and determine a second state based at least in part on a second set of vehicle event recorder data. The second set of vehicle event recorder data is different from the first set of vehicle event recorder data. The processor is configured to determine whether the second state following the first state indicates a productivity characterization mode, and indicate to acquire a third set of vehicle event recorder data for a productivity coaching determination.

Claims

1. A system for determining productivity coaching information, comprising:

an input interface configured to receive vehicle event recorder data;

a processor configured to;

determine a first state based at least in part on a first set of vehicle event recorder data;

determine a second state based at least in part on a second set of vehicle event recorder data;

determine whether a state transition from the first state to the second state indicates a beginning of or an end to a productivity characterization mode;

responsive to the determination of a beginning of the productivity characterization mode, automatically begin acquiring a third set of vehicle event recorder data, wherein at least some of the third set of vehicle event recorder data indicates a productivity level of a driver; and

when the productivity characterization mode ends, then automatically terminate acquiring the third set of vehicle event recorder data;

wherein at least some of the first, second, and third sets of vehicle event recorder data is sensor-generated by a vehicle event recorder remote from the processor.

2. The system of claim 1, wherein the processor is further configured to receive the third set of vehicle event recorder data from a server.

3. The system of claim 1, wherein the third set of vehicle event recorder data comprises image data.

4. The system of claim 1, wherein the third set of vehicle event recorder data comprises video data.

5. The system of claim 1, wherein the third set of vehicle event recorder data comprises audio data.

6. The system of claim 1, wherein the third set of vehicle event recorder data comprises vehicle front data.

7. The system of claim 1, wherein the third set of vehicle event recorder data comprises vehicle rear data.

8. The system of claim 1, wherein the third set of vehicle event recorder data comprises vehicle inside data.

9. The system of claim 1, wherein the first set of vehicle event recorder data comprises inside camera data.

10. The system of claim 1, wherein the first set of vehicle event recorder data comprises ignition data.

11. The system of claim 1, wherein the first set of vehicle event recorder data comprises gear data.

12. The system of claim 1, wherein the first set of vehicle event recorder data comprises speed data.

13. The system of claim 1, wherein the first set of vehicle event recorder data comprises door data.

14. The system of claim 1, wherein the first set of vehicle event recorder data comprises rear camera data.

15. The system of claim 1, wherein the first set of vehicle event recorder data comprises rear door data.

16. The system of claim 1, wherein the first set of vehicle event recorder data comprises utility power data.

17. The system of claim 1, wherein the processor is further configured to receive the first set of vehicle event recorder data.

18. A method for determining productivity coaching information, comprising:

determining, using a processor, a first state based at least in part on a first set of vehicle event recorder data;

determining, using the processor, a second state based at least in part on a second set of vehicle event recorder data;

determining, using the processor, whether a state transition from the first state to the second state indicates a beginning of or an end to a productivity characterization mode;

responsive to the determination of a beginning of the productivity characterization mode, automatically begin acquiring, using the processor, a third set of vehicle event recorder data, wherein at least some of the third set of vehicle event recorder data indicates a productivity level of a driver; and

when the productivity characterization mode ends, then automatically terminate acquiring the third set of vehicle event recorder data;

wherein at least some of the first, second, and third sets of vehicle event recorder data is sensor-generated by a vehicle event recorder remote from the processor.

19. The method of claim 18, further comprising making a productivity coaching determination, including scoring a driver based on productivity, the scoring being based on the third set of vehicle event recorder data.

20. The method of claim 19, wherein the scoring is based on a level of driver activity indicated by the third set of vehicle event recorder data.

21. The method of claim 18, wherein the determination of the state transition is based on a likelihood of a driver performing at a pre-defined level of productivity during the second state.

22. A computer program product for determining productivity coaching information, the computer program product being embodied in a non-transitory computer readable storage medium and comprising computer instructions for:

determining, using a processor, a first state based at least in part on a first set of vehicle event recorder data;

determining, using the processor, a second state based at least in part on a second set of vehicle event recorder data;

determining, using the processor, whether a state transition from the first state to the second state indicates a beginning of or an end to a productivity characterization mode;

responsive to the determination of a beginning of a productivity characterization mode, automatically begin acquiring, using the processor, a third set of vehicle event recorder data, wherein the third set of vehicle event recorder data indicates a productivity level of a driver; and

when the productivity characterization mode ends, then automatically terminate acquiring the third set of vehicle event recorder data;

wherein at least some of the first, second, and third sets of vehicle event recorder data is sensor-generated by a vehicle event recorder remote from the processor.