Systems and methods for identifying characteristics of electric vehicles
The disclosed embodiments provide a method performed at a computer system that is in communication with an electric vehicle charging station (EVCS). The EVCS includes a camera for obtaining images in a region proximal to the EVCS. The method includes capturing, using the camera, a plurality of images of electric vehicles, each image in the plurality of images being an image of a respective electric vehicle. The method further includes, for each respective image of the plurality of images of electric vehicles: determining, without user intervention, a characteristic of the respective electric vehicle; and tagging, without user intervention, the respective image with the characteristic of the respective electric vehicle. The method further includes training a first machine learning algorithm to identify the characteristic of other electric vehicles using the tagged plurality of images.
1. A method, comprising:
at a computer system comprising one or more processors, and memory, wherein the computer system is in communication with an electric vehicle charging station (EVCS), the EVCS comprising a camera for obtaining images of a region proximal to the EVCS:
capturing, using the camera, a plurality of images of electric vehicles, each image in the plurality of images being an image of a respective electric vehicle;
for each respective image of the plurality of images of electric vehicles:
determining, without user intervention, a characteristic of the respective electric vehicle;
tagging, without user intervention, the respective image with the characteristic of the respective electric vehicle; and
training a first machine learning algorithm to identify the characteristic of other electric vehicles using the tagged plurality of images.
2. The method of claim 1 , wherein the characteristic of the respective electric vehicle is determined from information received by the EVCS.
3. The method of claim 2 , wherein the characteristic of the respective electric vehicle is determined from information received through a charging cable of the EVCS.
4. The method of claim 1 , wherein the EVCS includes a plurality of sensors and the characteristic of the respective electric vehicle is determined from information received by the plurality of sensors.
5. The method of claim 4 , wherein determining the characteristic of the respective electric vehicle includes, prior to training the first machine learning algorithm, providing the information received by the plurality of sensors to a second machine learning algorithm, wherein the second machine learning algorithm is configured to output the characteristic of the respective electric vehicle.
6. The method of claim 1 , wherein:
the EVCS includes a plurality of sensors, and
the method further comprises, storing, as metadata associated with each respective image of the plurality of images, information from the plurality of sensors corresponding to the respective image.
7. The method of claim 1 , wherein the EVCS includes a plurality of sensors and training the first machine learning algorithm comprises training the first machine learning algorithm to identify the characteristic of electric vehicles using information from a first subset, less than all, of the plurality of sensors.
8. The method of claim 7 , further comprising, training a third machine learning algorithm to identify the characteristic of other electric vehicles using information from a second subset, less than all, of the plurality of sensors, wherein the second subset is different from the first subset.
9. The method of claim 1 , wherein the characteristic of the respective electric vehicle is determined, in response to a user initiating a charging process at the EVCS, using information from an account associated with the user.
10. The method of claim 1 , further comprising:
storing each respective image of the plurality of images with a tag identifying the characteristic of the respective electric vehicle;
receiving a request for images of electric vehicles having a particular value of the characteristic of the respective electric vehicle; and
providing a subset, less than all, of the plurality of images, wherein the subset consists of images having the particular value of the characteristic of the electric vehicle.
11. The method of claim 1 , wherein the characteristic includes at least one of a make, model, and year of the electric vehicle.
12. A computer system that is in communication with an electric vehicle charging station (EVCS), the EVCS comprising a camera for obtaining video of a region proximal to the EVCS, the computer system comprising:
one or more processors;
memory storing one or more programs, the one or more programs including instructions for:
capturing, using the camera, a plurality of images of electric vehicles, each image in the plurality of images being an image of a respective electric vehicle;
for each respective image of the plurality of images of electric vehicles:
determining, without user intervention, a characteristic of the respective electric vehicle;
tagging, without user intervention, the respective image with the characteristic of the respective electric vehicle; and
training a first machine learning algorithm to identify the characteristic of other electric vehicles using the tagged plurality of images.
13. The computer system of claim 12 , wherein the characteristic of the respective electric vehicle is determined from information received by the EVCS.
14. The computer system of claim 13 , wherein the characteristic of the respective electric vehicle is determined from information received through a charging cable of the EVCS.
15. The computer system of claim 12 , wherein the EVCS includes a plurality of sensors and the characteristic of the respective electric vehicle is determined from information received by the plurality of sensors.
16. The computer system of claim 15 , wherein determining the characteristic of the respective electric vehicle includes, prior to training the first machine learning algorithm, providing the information received by the plurality of sensors to a second machine learning algorithm, wherein the second machine learning algorithm is configured to output the characteristic of the respective electric vehicle.
17. The computer system of claim 12 , wherein:
the EVCS includes a plurality of sensors, and
the one or more programs including instructions for storing, as metadata associated with each respective image of the plurality of images, information from the plurality of sensors corresponding to the respective image.
18. The computer system of claim 12 , wherein the EVCS includes a plurality of sensors and training the first machine learning algorithm comprises training the first machine learning algorithm to identify the characteristic of electric vehicles using information from a first subset, less than all, of the plurality of sensors.
19. The computer system of claim 18 , wherein the one or more programs including instructions for training a third machine learning algorithm to identify the characteristic of other electric vehicles using information from a second subset, less than all, of the plurality of sensors, wherein the second subset is different from the first subset.
20. A non-transitory computer readable storage medium storing including instructions that, when executed by one or more processors of a computer system that is in communication with an electric vehicle charging station (EVCS), the EVCS comprising a camera for obtaining video of a region proximal to the EVCS, cause the computer system to perform operations comprising:
capturing, using the camera, a plurality of images of electric vehicles, each image in the plurality of images being an image of a respective electric vehicle;
for each respective image of the plurality of images of electric vehicles:
determining, without user intervention, a characteristic of the respective electric vehicle;
tagging, without user intervention, the respective image with the characteristic of the respective electric vehicle; and
training a first machine learning algorithm to identify the characteristic of other electric vehicles using the tagged plurality of images.