IP Library Granted Patent US 12,007,242
Granted Patent B2
US 12,007,242 · App. 17/828,117 · Granted Jun 11, 2024

Systems and methods for providing carbon offsets

Inventors: Theobolt N. Leung (San Francisco, CA); Eric Dahl (Newman Lake, WA); Kenneth Jason Sanchez (San Francisco, CA)
Assignee: BLUEOWL, LLC
G01C21/3469B60W40/09B60W50/10G01C21/3484G01C21/3492G01C21/3617G06Q30/018G06Q30/0201G06Q30/0224G07C5/04B60W2510/0638B60W2530/209B60W2540/30G06Q50/06G06Q50/40
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Quick Facts
Patent No.
US 12,007,242
App. No.
17/828,117
Filed
May 31, 2022
Granted
Jun 11, 2024
Kind
B2
Art Unit
3682
USPC
705/14.25
Abstract

Method and system for providing carbon offsets. For example, the method includes collecting mindful driving data for one or more vehicle trips made by a user, analyzing the mindful driving data to determine a level of mindful driving of the user, determining a level of carbon offset reward based at least in part upon the level of mindful driving of the user, determining an amount of total carbon emission of the user, and providing an amount of carbon offset reward based at least in part upon the level of carbon offset reward and the amount of total carbon emission.

Claims (79)

1. A method for operating a computing device including one or more processors, the method comprising:

receiving, by the computing device, trip data defining occurrence of a vehicle trip by a user in a vehicle;

using a trained model, by the computing device using the trip data, to predict levels of mindful driving behavior, wherein the trained model is configured to be trained by:

collecting one or more sets of training data corresponding to levels of mindful driving behavior, the sets of training data adapted to be collected from one or more sensors associated with the vehicle;

processing the one or more sets of training data with the trained model to determine one or more mindful driving features;

generating a predicted level of mindful driving based on the one or more mindful driving features, the predicted level of mindful driving including one or more parameters; and

adjusting the one or more parameters associated with the predicted level of mindful driving to update the trained model;

receiving, by the computing device, fuel-consumption data, from the one or more sensors associated with the vehicle;

receiving, by the computing device, vehicle information of the vehicle;

receiving, by the computing device, mindful driving data including information related to a mindful driving behavior of the user;

processing the mindful driving data by the computing device using the trained model to determine a level of mindful driving behavior of the user during the vehicle trip;

calculating a level of carbon offset reward based upon the level of mindful driving behavior, wherein the level of carbon offset reward represents a percentage value;

determining, by the computing device in response to the trip data, an amount of total carbon emission of the vehicle during the vehicle trip based upon the fuel-consumption data and the vehicle information;

calculating, by the computing device, an amount of carbon offset reward based upon the level of carbon offset reward and the amount of total carbon emission; and

determining a monetary value associated with the amount of carbon offset reward to plant trees.

2. The method of claim 1 , wherein the amount of carbon offset reward corresponds to an amount of cost needed to recapture the amount of total carbon emission by planting the one or more trees.

3. The method of claim 1 , wherein the processing, by the computing device, the mindful driving data includes:

providing the mindful driving data;

processing information associated with the mindful driving data; and

determining the level of mindful driving behavior of the user based upon the mindful driving data.

4. The method of claim 1 , further comprising:

determining, by the computing device, a level of insurance discount based upon the level of mindful driving behavior of the user; and

generating, by the computing device, an adjustment to an insurance premium for the user based upon the level of insurance discount and an amount of insurance premium.

5. The method of claim 1 , further comprising:

determining, by the computing device, an insurance marketing offer, an eligibility qualification, or a quote amount based upon the level of mindful driving behavior of the user.

6. The method of claim 1 , wherein the level of carbon offset reward represents a percentage value of carbon offset.

7. The method of claim 6 , wherein the calculating, by the computing device, the amount of carbon offset reward includes:

determining the amount of carbon offset reward to be equal to an amount of cost needed to completely recapture the amount of total carbon emission multiplied by the percentage value of carbon offset.

8. A computing device, comprising:

one or more processors; and

a memory storing instructions that, when executed by the one or more processors, cause the one or more processors to:

receive trip data defining occurrence of a vehicle trip by a user in a vehicle;

use a trained model, using the trip data, to predict levels of mindful driving behavior, wherein the trained model is configured to be trained by:

collecting one or more sets of training data corresponding to levels of mindful driving behavior, the sets of training data adapted to be collected from one or more sensors associated with the vehicle;

processing the one or more sets of training data with the trained model to determine one or more mindful driving features;

generating a predicted level of mindful driving based on the one or more mindful driving features, the predicted level of mindful driving including one or more parameters; and

adjusting the one or more parameters associated with the predicted level of mindful driving to update the trained model;

receive, fuel-consumption data, from the one or more sensors associated with the vehicle;

receive vehicle information of the vehicle;

receive mindful driving data including information related to a mindful driving behavior of the user;

process the mindful driving data using the trained model to determine a level of mindful driving behavior of the user;

calculate a level of carbon offset reward based upon the level of mindful driving behavior, wherein the level of carbon offset reward represents a percentage value;

determine, in response to the trip data, an amount of total carbon emission of the vehicle during the vehicle trip based upon the fuel-consumption data and the vehicle information;

calculate an amount of carbon offset reward based upon the level of carbon offset reward and the amount of total carbon emission; and

determine a monetary value associated with the amount of carbon offset reward to plant trees.

9. The computing device of claim 8 , wherein the amount of carbon offset reward corresponds to an amount of cost needed to recapture the amount of total carbon emission by planting the one or more trees.

10. The computing device of claim 8 , wherein the instructions that cause the one or more processors to process the mindful driving data further comprise instructions that cause the one or more processors to:

provide the mindful driving data;

process information associated with the mindful driving data; and

determine the level of mindful driving behavior of the user based upon the mindful driving data.

11. The computing device of claim 8 wherein the instructions further comprise instructions that, when executed by the one or more processors, cause the one or more processors to:

determine a level of insurance discount based upon the level of mindful driving behavior of the user; and

generate an adjustment to an insurance premium for the user based upon the level of insurance discount and an amount of insurance premium.

12. The computing device of claim 8 , wherein the instructions further comprise instructions that, when executed by the one or more processors, cause the one or more processors to:

determine an insurance marketing offer, an eligibility qualification, or a quote amount based upon the level of mindful driving of the user.

13. The computing device of claim 8 wherein the level of carbon offset reward represents a percentage value of carbon offset.

14. The computing device of claim 13 , wherein the instructions that cause the one or more processors to provide the amount of carbon offset reward further comprise instructions that cause the one or more processors to:

determine the amount of carbon offset reward to be equal to an amount of cost needed to completely recapture the amount of total carbon emission multiplied by the percentage value of carbon offset.

15. A non-transitory computer-readable medium storing instructions, the instructions when executed by one or more processors of a computing device, cause the computing device to:

receive trip data defining occurrence of a vehicle trip by a user in a vehicle;

use a trained model, using the trip data, to predict levels of mindful driving behavior, wherein the trained model is configured to be trained by:

collecting one or more sets of training data corresponding to levels of mindful driving behavior, the sets of training data adapted to be collected from one or more sensors associated with the vehicle;

processing the one or more sets of training data with the trained model to determine one or more mindful driving features;

generating a predicted level of mindful driving based on the one or more mindful driving features, the predicted level of mindful driving including one or more parameters; and

adjusting the one or more parameters associated with the predicted level of mindful driving to update the trained model;

receive, fuel-consumption data, from one or more sensors associated with the vehicle;

receive vehicle information of the vehicle;

receive mindful driving data including information related to a mindful driving behavior of the user;

process the mindful driving data using the trained model to determine a level of mindful driving behavior of the user;

calculate a level of carbon offset reward based upon the level of mindful driving behavior, wherein the level of carbon offset reward represents a percentage value;

determine, in response to the trip data, an amount of total carbon emission of the vehicle during the vehicle trip based upon the fuel-consumption data and the vehicle information; and

calculate an amount of carbon offset reward based upon the level of carbon offset reward and the amount of total carbon emission; and

determine a monetary value associated with the amount of carbon offset reward to plant trees.

16. The non-transitory computer-readable medium of claim 15 , wherein the instructions when executed by the one or more processors that cause the computing device to process the mindful driving data to determine the level of mindful driving behavior of the user further cause the computing device to:

provide the mindful driving data;

process information associated with the mindful driving data; and

determine the level of mindful driving behavior of the user based upon the mindful driving data.

17. The non-transitory computer-readable medium of claim 15 , wherein the level of carbon offset reward represents a percentage value of carbon offset, and the instructions when executed by the one or more processors that cause the computing device to provide the amount of carbon offset reward based upon the level of carbon offset reward and the amount of total carbon emission further cause the computing device to:

determine the amount of carbon offset reward to be equal to an amount of cost needed to recapture the amount of total carbon emission multiplied by the percentage value of carbon offset.

Assignments (2)
CHANGE OF NAME Recorded May 29, 2024
From: BLUEOWL, LLC
To: QUANATA, LLC
Reel/Frame 067558/0600 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 25, 2023
From: SANCHEZ, KENNETH JASON; LEUNG, THEOBOLT N.; DAHL, ERIC
To: BLUEOWL, LLC
Reel/Frame 065348/0381 →
Continuity (4)
Continuation 17686707 · Mar 4, 2022
Continuation PCTUS2020003977 · Jun 26, 2020
Provisional Application 62899038 · Sep 11, 2019
Related Publication 20220292540A1 · Sep 15, 2022