Methods and systems for updating a database based on object recognition
The systems and methods discussed herein provide for a method that includes receiving, by a device, a first image of a plurality of individuals. The method further includes identifying, by the device from a database comprising images of individuals, a plurality of individuals within the first image. The method further includes for each identified individual within the first image, by the device, identified individual with a first value. The method further includes, generating, by the device to a second device, a record comprising identifications of each identified individual within the first image and the first value.
1. A method, comprising:
receiving, by a device, a first image of a plurality of individuals;
identifying, by the device from a database comprising images of individuals, a plurality of individuals within the first image;
for each identified individual within the first image, associating, by the device, the identified individual with a first value; and
generating, by the device, a record comprising identifications of each identified individual within the first image and the first value, the record transmitted by the device to a second device.
2. The method of claim 1 , wherein each of the first image and the first value is associated with a common characteristic related to generation of the image and receipt of the value by the device; and further comprising:
determining, by the device, that a difference between the characteristic associated with the first image and the characteristic associated with the first value is less than a threshold.
3. The method of claim 2 , wherein associating each identified individual within the first image with the first value is performed responsive to the determination that the difference is less than the threshold.
4. The method of claim 2 , wherein the characteristic associated with the first image comprises a time to generate the first image, the characteristic associated with the first value comprises a time of receipt of the first value by the device, and the threshold comprises a duration between two time characteristics.
5. The method of claim 2 , wherein the characteristic associated with the first image comprises a location at which the first image was generated, the characteristic associated with the first value comprises a location of the device during receipt of the first value by the device, and the threshold comprises a distance between two location characteristics.
6. The method of claim 2 , further comprising:
associating the first image and the first value, by the device, responsive to the determination that the difference is less than the threshold;
receiving, by the device, a second image of a plurality of individuals and the first value; and
transmitting, by the device to the second device, an indication that an association between the second image and the first value is invalid, responsive to the first image and the first value being associated.
7. The method of claim 6 , wherein a difference between a characteristic associated with the second image and the characteristic associated with the first value is less than the threshold; and wherein transmitting the indication that the association between the second image and the first value is invalid is performed despite the difference between the characteristic associated with the second image and the characteristic associated with the first value being less than the threshold.
8. The method of claim 1 , wherein associating each identified individual with the first value further comprises:
determining a number of individuals within the first image; and
for each identified individual, associating the identified individual with a second value comprising the first value divided by the number of identified individuals.
9. The method of claim 1 , wherein associating each identified individual with the first value further comprises:
retrieving, by the device from the database, a classification of each identified individual within the first image;
associating, by the device, a first individual of the identified individuals with the first value, responsive to the first individual having a first classification; and
associating, by the device, at least one additional individual of the identified individuals with a second value, responsive to each additional identified individual having a different, second classification.
10. A system for generating associations between optical entered data sets, comprising:
a device comprising a processor in communication with an image capture device, a memory for storing a database of images of individuals, and a network interface;
wherein the processor is configured to:
receive, from the image capture device, a first image of a plurality of individuals, and a second image that includes a first value,
identify, from the database, a plurality of individuals in the first image, and
for each identified individual in the first image, associate the identified individual with the first value, and
generate a record comprising identifications of each identified individual within the first image and the association with the first value; and
wherein the network interface is configured to transmit, to a second device, the generated record.
11. The system of claim 10 , wherein each of the first image and the second image is associated with a common characteristic related to generation of the image and receipt of the value by the first device and wherein the processor is further configured to:
determine that a difference between the image characteristic associated with the first image and the image characteristic associated with the second image is less than a threshold.
12. The system of claim 11 , wherein the processor is further configured to associate each identified individual within the first image with the first value, responsive to the determination that the difference is less than the threshold.
13. The system of claim 11 , wherein the common characteristic comprises a time to generate the image, and the threshold comprises a duration.
14. The system of claim 11 , wherein the common characteristic comprises a location at which the image was generated, and the threshold comprises a distance between two location characteristics.
15. The system of claim 11 , wherein the processor is further configured to:
associate the first image and the second image, responsive to the determination that the difference is less than the threshold, and
receive, from the image capture device, a third image of a plurality of individuals and the second image comprising the first value; and
wherein the network interface is further configured to transmit, to the second device, an indication that an association between the first image and the third image is invalid, responsive to the first image and the second image being associated.
16. The system of claim 15 , wherein a difference between an image characteristic associated with the third image and the image characteristic associated with the second image is less than the threshold; and wherein transmitting the indication that the association between the third image and the first value is invalid is performed despite the difference between the characteristic associated with the second image and the characteristic associated with the first value being less than the threshold.
17. The system of claim 10 , wherein the processor is further configured to:
determine a number of individuals within the first image; and
for each identified individual, associate the identified individual with a second value comprising the first value divided by the number of identified individuals.
18. The system of claim 10 , wherein the processor is further configured to:
retrieve, from the database, a classification of each identified individual in the first image;
associate a first individual of the identified individuals with the first value, responsive to the first individual having a first classification; and
associate at least one additional individual of the identified individuals with a second value, responsive to each additional identified individual having a different, second classification.
19. A non-transitory computer-readable medium, comprising instructions that, when executed by the processor of a device, cause the processor to:
receive, from an image capture device in communication with the device, a first image of a plurality of individuals, and a second image comprising a first value;
identify, from a database comprising images of individuals, each of the plurality of individuals in the first image;
for each identified individual of plurality of individuals in the first image, associate the identified individual with the first value; and
generate, to a second device, a record comprising identifications of each identified individual within the first image and the association with the first value.
20. The computer-readable medium of claim 19 , further comprising instructions that cause the processor to:
determine that a difference between an image characteristic associated with the first image and an image characteristic associated with the first value is less than a threshold;
responsive to the determination that the difference is less than the threshold,
associate each identified individual within the first image with the first value, and
associate the first image and the second image;
receive, from the image capture device, a third image of a plurality of individuals, the third image comprising the first value; and
transmit, to the second device, an indication that an association between the third image and the second image is invalid, responsive to the first image and the second image being associated.