Automated scenario recognition and reporting using neural networks

Abstract

An incident avoidance system includes a plurality of imaging sensors and a neural computing system. The neural network computing system is configured to receive an image feed from at least one of the plurality of imaging sensors and analyze the image feed to identify a pattern of behavior exhibited by subjects within the image feed. The neural computing system is further configured to determine whether the identified pattern of behavior matches a known type of behavior and send a command to one or more remote devices. One or both of a type of the command or the one or more remove devices are selected based on a result of the determination whether the identified pattern of behavior matches a known type of behavior.

What is claimed is: 
     
         1 . An incident avoidance system, comprising:
 a plurality of imaging sensors; and   a neural computing system configured to:
 at a first time, analyze a plurality of image feeds; 
 receive information related to a plurality of patterns of behavior, wherein each of the plurality of patterns of behavior is associated with at least one of the plurality of image feeds, wherein the information comprises a characterization of at least one pattern of behavior present in each of the plurality of image feeds; and 
 store each of the plurality of patterns of behavior; 
 at a second time, receive an image feed from at least one of the plurality of imaging sensors; 
 analyze the image feed to identify a pattern of behavior exhibited by subjects within the image feed; 
 determine whether the identified pattern of behavior matches one of the stored plurality of patterns of behavior; and 
 send a command to one or more remote devices, wherein one or both of a type of the command or the one or more remove devices are selected based on a result of the determination whether the identified pattern of behavior matches one of the stored plurality of patterns of behavior. 
   
     
     
         2 . The incident avoidance system of  claim 1 , wherein:
 the command comprises an indication that the identified pattern of behavior does not match one of the plurality of patterns of behavior and includes the image feed; and   the one or more remote devices comprises a transit system computer.   
     
     
         3 . The incident avoidance system of  claim 2 , wherein the neural computing system is further configured to:
 receive additional information related to the identified pattern of behavior, wherein the additional information comprises an additional instruction that informs the neural computing system what content should be included in subsequent commands associated with the identified pattern of behavior, wherein the additional information further includes at least one device that is included as one of the one or more remote devices in subsequent identifications of the identified pattern of behavior; and   store the additional instruction.   
     
     
         4 . The incident avoidance system of  claim 3 , wherein the neural computing system is further configured to:
 at a later time, detect the identified pattern of behavior an additional time; and   send a subsequent command including the content specified to the at least one device included in the additional instruction.   
     
     
         5 . The incident avoidance system of  claim 1 , wherein:
 the plurality of imaging sensors comprise cameras.   
     
     
         6 . The incident avoidance system of  claim 1 , wherein the neural computing system is further configured to:
 detect a particular set of circumstances that are associated with the identified pattern of behavior, wherein the particular set of circumstances are identified based on sensor data.   
     
     
         7 . The incident avoidance system of  claim 6 , wherein the neural computing system is further configured to:
 identify a preventative action based on the particular set of circumstances; and   perform the preventative action when the particular set of circumstances are detected a subsequent time.   
     
     
         8 . The incident avoidance system of  claim 1 , wherein the neural computing system is further configured to:
 determine a cause of the identified pattern of behavior.   
     
     
         9 . The incident avoidance system of  claim 8 , wherein the neural computing system is further configured to:
 identify a preventative action related to the identified pattern of behavior based at least in part on the identified cause.   
     
     
         10 . The incident avoidance system of  claim 1 , wherein the neural computing system is further configured to:
 identify an additional plurality of patterns of behavior from additional image feeds;   receive sensor data from one or more sensors of a transit system;   analyze the additional plurality of patterns of behavior and the sensor data to identify a common set of circumstances between at least one of the plurality of patterns of behavior and at least a portion of the sensor data; and   predict a subsequent occurrence of the at least one of the plurality of patterns of behavior.