Edge metadata

Abstract

In one embodiment, a method includes receiving, by a storage device located at an edge of a network, user device data from a first user device and receiving, by the storage device, metadata associated with an environment of the first user device. The method also includes classifying, by the storage device, the metadata into a category to generate classified metadata and applying, by the storage device, a policy to the classified metadata to generate policy-based classified metadata. The method further includes assigning, by the storage device, one or more tokens to the policy-based classified metadata and assigning, by the storage device, one or more tags to the policy-based classified metadata. The method further includes transmitting, by the storage device, the one or more tags to a second user device in accordance with the one or more tokens.

What is claimed is: 
     
         1 . A method comprising:
 receiving, by a storage device located at an edge of a network, user device data from a first user device, wherein the user device data comprises data captured by the first user device;   receiving, by the storage device, metadata associated with an environment of the first user device from a source other than the first user device or the storage device;   classifying, by the storage device, the metadata into a category to generate classified metadata;   applying, by the storage device, a policy to the classified metadata to generate policy-based classified metadata;   assigning, by the storage device, one or more tokens to the policy-based classified metadata, wherein the one or more tokens identify at least one of: a second user device to which to transmit the policy-based classified metadata, or a time of day to transmit the policy-based classified metadata to the second user device;   assigning, by the storage device, one or more tags to the policy-based classified metadata; and   transmitting, by the storage device, the one or more tags to the second user device in accordance with the one or more tokens.   
     
     
         2 . The method of  claim 1 , wherein:
 the user device data comprises one or more of the following:
 a photo; 
 a video; or 
 a voice memo; 
   the metadata comprises one or more of the following:
 a location where the user device data was captured; 
 a time when the user device data was captured; or 
 one or more events occurring within a pre-determined distance to the location where the user device data was captured and within a pre-determined time window around the time when the user device data was captured. 
   
     
     
         3 . The method of  claim 1 , wherein:
 the receiving the metadata comprises receiving the metadata by a machine learning engine of the storage device; and   the classifying the metadata comprises classifying the metadata into the category to generate the classified metadata by the machine learning engine of the storage device.   
     
     
         4 . The method of  claim 1 , wherein:
 the first user device is different from the second user device; and   the policy is selected by a user of the second user device.   
     
     
         5 . The method of  claim 1 , wherein:
 the receiving the metadata occurs according to a first time-shift schedule; and   the transmitting the one or more tags to the second user device occurs according to a second time-shift schedule.   
     
     
         6 . The method of  claim 1 , further comprising:
 embedding, by the storage device, the one or more tags in the user device data, wherein the one or more tags comprise one or more of the following:   a keyword;   an image; or   an identifying mark.   
     
     
         7 . The method of  claim 1 , wherein the first user device is associated with a minor and the second user device is associated with a parent of the minor. 
     
     
         8 . A system comprising one or more processors of a storage device located at an edge of a network and a memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations, the operations comprising:
 receiving user device data from a first user device, wherein the user device data comprises data captured by the first user device;   receiving metadata associated with an environment of the first user device from a source other than the first user device or the storage device;   classifying the metadata into a category to generate classified metadata;   applying a policy to the classified metadata to generate policy-based classified metadata;   assigning one or more tokens to the policy-based classified metadata, wherein the one or more tokens identify at least one of: a second user device to which to transmit the policy-based classified metadata, or a time of day to transmit the policy-based classified metadata to the second user device;   assigning one or more tags to the policy-based classified metadata; and   transmitting the one or more tags to the second user device in accordance with the one or more tokens.   
     
     
         9 . The system of  claim 8 , wherein:
 the user device data comprises one or more of the following:
 a photo; 
 a video; or 
 a voice memo; 
   the metadata comprises one or more of the following:
 a location where the user device data was captured; 
 a time when the user device data was captured; or 
 one or more events occurring within a pre-determined distance to the location where the user device data was captured and within a pre-determined time window around the time when the user device data was captured. 
   
     
     
         10 . The system of  claim 8 , wherein a machine learning engine of the storage device:
 receives the metadata; and   classifies the metadata into the category to generate the classified metadata.   
     
     
         11 . The system of  claim 8 , wherein:
 the first user device is different from the second user device; and   the policy is selected by a user of the second user device.   
     
     
         12 . The system of  claim 8 , wherein:
 the receiving the metadata occurs according to a first time-shift schedule; and   the transmitting the one or more tags to the second user device occurs according to a second time-shift schedule.   
     
     
         13 . The system of  claim 8 , wherein the operations further comprise embedding the one or more tags in the user device data, wherein the one or more tags comprise one or more of the following:
 a keyword;   an image; or   an identifying mark.   
     
     
         14 . The system of  claim 8 , wherein the first user device is associated with a minor and the second user device is associated with a parent of the minor. 
     
     
         15 . One or more non-transitory computer-readable storage media embodying instructions that, when executed by a processor of a storage device located at an edge of a network, cause the processor to perform operations, the operations comprising:
 receiving user device data from a first user device, wherein the user device data comprises data captured by the first user device;   receiving metadata associated with an environment of the first user device from a source other than the first user device or the storage device;   classifying the metadata into a category to generate classified metadata;   applying a policy to the classified metadata to generate policy-based classified metadata;   assigning one or more tokens to the policy-based classified metadata, wherein the one or more tokens identify at least one of: a second user device to which to transmit the policy-based classified metadata, or a time of day to transmit the policy-based classified metadata to the second user device;   assigning one or more tags to the policy-based classified metadata; and   transmitting the one or more tags to the second user device in accordance with the one or more tokens.   
     
     
         16 . The one or more non-transitory computer-readable storage media of  claim 15 , wherein:
 the user device data comprises one or more of the following:
 a photo; 
 a video; or 
 a voice memo; 
   the metadata comprises one or more of the following:
 a location where the user device data was captured; 
 a time when the user device data was captured; or 
 one or more events occurring within a pre-determined distance to the location where the user device data was captured and within a pre-determined time window around the time when the user device data was captured. 
   
     
     
         17 . The one or more non-transitory computer-readable storage media of  claim 15 , wherein a machine learning engine of the storage device:
 receives the metadata associated with the user device data; and   classifies the metadata into the category to generate the classified metadata.   
     
     
         18 . The one or more non-transitory computer-readable storage media of  claim 15 , wherein:
 the first user device is different from the second user device; and   the policy is selected by a user of the second user device.   
     
     
         19 . The one or more non-transitory computer-readable storage media of  claim 15 , wherein:
 the receiving the metadata occurs according to a first time-shift schedule; and   the transmitting the one or more tags to the second user device occurs according to a second time-shift schedule.   
     
     
         20 . The one or more non-transitory computer-readable storage media of  claim 15 , wherein the first user device is associated with a minor and the second user device is associated with a parent of the minor.