Sentiment analysis for situational awareness
View Patent ↗A Network Operation Center may receive video data, sensor data and third-party data for a situation that a police officer or security service personnel has been called to. Using the video data, a sentiment analysis engine may generate a sentiment data file that contains the sentiment of at least one individual involved in the situation. Using the video data, sensor data, third party data and the sentiment data file, the sentiment analysis engine may generate a safety quality value for the situation. Subsequently, the safety quality value is compared to a predetermined sentiment value to establish a safety rating and confidence interval for the situation. Furthermore, the sentiment analysis engine may generate a situational awareness file, that contains the safety rating and confidence interval, and route it to the field computing device of the officer for evaluation and implementation.
1. One or more non-transitory computer-readable storage media, of a network operation center, storing computer-executable instructions that upon execution cause one or more processors to perform acts comprising:
receiving a primary video file from a primary video camera for a situation;
receiving a secondary video file from a secondary video camera for the situation;
receiving a sensor data file from a sensor;
predicting a sentiment of individuals associated with the situation to generate a sentiment data file;
predicting a safety quality value based on the primary video file, secondary video file, sentiment data file, and the sensor data file;
comparing the safety quality value with a predetermined sentiment value to establish a safety rating;
generating a situational awareness file that includes the safety rating; and
routing the situational awareness file to a police officer field computing device.
2. The one or more non-transitory computer-readable storage media of claim 1 , wherein the safety rating is an indicator of stability of the situation that a police officer is investigating.
3. The one or more non-transitory computer-readable storage media of claim 2 , wherein the acts further comprise:
in response to a determining of the safety quality value to be superior to the predetermined sentiment value, designating the situation as being safe; and
in response to a determining of the safety quality value to be inferior to the predetermined sentiment value, designating the situation as being dangerous.
4. The one or more non-transitory computer-readable storage media of claim 2 , wherein the primary video file includes visual and sound data associated with the situation.
5. The one or more non-transitory computer-readable storage media of claim 2 , wherein the secondary video file includes visual and sound data of a vicinity that is in proximity to the situation.
6. The one or more non-transitory computer-readable storage media of claim 1 , wherein the sensor data file includes vital statistics and physiological activity of a police officer.
7. The one or more non-transitory computer-readable storage media of claim 1 , wherein the acts further comprise: receiving a third-party data file that includes historical data of crime data, statistical and trending data of a vicinity that is in proximity to a location of the situation.
8. The one or more non-transitory computer-readable storage media of claim 7 , wherein the third-party data file is received from a third-party service provider.
9. The one or more non-transitory computer-readable storage media of claim 1 , wherein the sentiment data file is based on data extracted from the primary video file or secondary video file.
10. A system, comprising:
one or more processors; and
memory having instructions stored therein, the instructions, when executed by one or more processors, cause the one or more processors to perform acts comprising:
receiving a primary video file from a primary video camera for a situation;
receiving a secondary video file from a secondary video camera for the situation;
receiving a sensor data file from a sensor;
predicting a sentiment of individuals associated with the situation to generate a sentiment data file;
predicting a safety quality value based on the primary video file, secondary video file, sentiment data file, and the sensor data file;
comparing the safety quality value with a predetermined sentiment value to establish a safety rating;
generating a situational awareness file that includes the safety rating; and
routing the situational awareness file to a police officer field computing device.
11. The system of claim 10 , wherein the safety rating is an indicator of stability of the situation that a police officer is investigating.
12. The system of claim 11 , wherein the acts further comprise:
in response to a determining of the safety quality value to be superior to the predetermined sentiment value, designating the situation as being safe; and
in response to a determining of the safety quality value to be inferior to the predetermined sentiment value, designating the situation as being dangerous.
13. The system of claim 11 , wherein the primary video file includes visual and sound data associated with the situation.
14. The system of claim 11 , wherein the secondary video file includes visual and sound data of a vicinity that is in proximity to the situation.
15. The system of claim 10 , wherein the sensor data file includes vital statistics and physiological activity of a police officer.
16. The system of claim 10 wherein the acts further comprise: receiving a third-party data file that includes historical data of crime data, statistical and trending data of a vicinity that is in proximity to the location of the situation.
17. The system of claim 16 , wherein the third-party data file is received from a third-party service provider.
18. The system of claim 10 , wherein the sentiment data file is based on data extracted from the primary video file or secondary video file.
19. A computer-implemented method, comprising:
receiving a primary video file from a primary video camera for a situation;
receiving a secondary video file from a secondary video camera for the situation;
receiving a sensor data file from a sensor associated with a police officer;
predicting a sentiment of individuals associated with the situation to generate a sentiment data file;
predicting a safety quality value based on at least one of the primary video file, secondary video file, sentiment data file, and the sensor data file;
comparing the safety quality value with a predetermined sentiment value to establish a safety rating;
generating a situational awareness file that includes the safety rating; and
routing the situational awareness file to a police officer field computing device.
20. The computer-implemented method of claim 19 , wherein the safety rating is an indicator of stability of the situation that the police officer is investigating.