Encryption, security, and video optimization

1. A method for protecting data, the method comprising:

acquiring initial image data from a user at a first time, wherein the initial image data is representative of a movement pattern of the user and represents a unique biometric feature of the user, wherein the initial image data includes gait data representative of the movement pattern of the user, and wherein the unique biometric feature of the user comprises a Human Pose Estimation derived from the gait data;

generating, based on the initial image data, a key associated with the unique biometric feature;

encrypting a data file using the key;

acquiring subsequent image data from the user at a second time later than the first time;

executing an image engine configured to determine whether the subsequent image data matches the initial image data, wherein the image engine is trained to create a confidence level for matching the initial image data with the subsequent image data;

unlocking the encrypted data file in response to the confidence level of the image engine indicating the subsequent image data matches the initial image data within a predetermined threshold; and

generating an avatar associated with the user based on the Human Pose Estimation derived from the gait data, wherein the avatar is a visual representation of the user.

2. The method as set forth in claim 1 , wherein the image engine comprises at least one of the following to optimize the confidence level: a neural network; machine learning; machine vision; and artificial intelligence.

3. The method as set forth in claim 1 , wherein the initial image data and the subsequent image data are of the same data type.

4. The method as set forth in claim 1 , wherein the initial image data and the subsequent image data comprise one or more of the following data types: gait data, user skin trait data, user blood trait data, environmental data, DNA data, user retinal data, and user fingerprint data.

5. The method as set forth in claim 4 , wherein the user skin trait data comprises one or more of skin creases, wrinkles under the eyes, number of hairs per area, vascular patterns, and skin irregularities.

6. The method as set forth in claim 1 , wherein unlocking the encrypted data file comprises at least one of the following: unlocking a smartphone, unlocking a computing device, decrypting the encrypted data file, unlocking a vehicle, and authorizing a transaction.

7. The method as set forth in claim 1 , further comprising associating the avatar with the unique biometric feature, and wherein the key is generating based on the avatar.

8. The method as set forth in claim 1 , wherein executing the image engine comprises executing artificial intelligence to predict changes in the unique biometric feature of the user over time.

9. A system for protecting data comprising:

a camera configured to acquire initial image data from a user at a first time and subsequent image data from the user at a second time later than the first time, wherein the initial image data includes user skin trait data of the user and represents a unique biometric feature of the user, wherein the initial image data further includes gait data representative of a movement pattern of the user, and wherein the unique biometric feature of the user comprises a Human Pose Estimation derived from the gait data;

a processor; and

a memory storage device, wherein the memory storage device stores processor-executable instructions that, when executed, configure the processor for:

generating, based on the initial image data, a key associated with the unique biometric feature;

encrypting a data file using the generated key;

executing an image engine configured to determine whether the subsequent image data matches the initial image data, wherein the image engine is trained to create a confidence level for matching the initial image data with the subsequent image data;

unlocking the encrypted data file in response to the confidence level of the image engine indicating the subsequent image data matches the initial image data within a predetermined threshold; and

generating an avatar associated with the user based on the Human Pose Estimation derived from the gait data, wherein the avatar is a visual representation of the user.

10. The system as set forth in claim 9 , wherein the image engine comprises at least one of the following to optimize the confidence level: a neural network; machine learning; machine vision; and artificial intelligence.

11. The system as set forth in claim 9 , wherein the initial image data and the subsequent image data are of the same data type.

12. The system as set forth in claim 9 , wherein the initial image data and the subsequent image data comprise one or more of the following data types in addition to user skin data: gait data, user blood trait data, environmental data, DNA data, user retinal data, and user fingerprint data.

13. The system as set forth in claim 9 , wherein the user skin trait data comprises one or more of skin creases, wrinkles under the eyes, number of hairs per area, vascular patterns, and skin irregularities.

14. The system as set forth in claim 9 , wherein unlocking the encrypted data file comprises at least one of the following: unlocking a smartphone, unlocking a computing device, decrypting the encrypted data file, unlocking a vehicle, and authorizing a transaction.

15. The system as set forth in claim 9 , wherein the memory storage device stores processor-executable instructions that, when executed, further configure the processor for associating the avatar with the unique biometric feature, and wherein the key is generated based on the avatar.

16. The system as set forth in claim 9 , wherein executing the image engine comprises executing artificial intelligence to predict changes in the unique biometric feature of the user over time.