Irregular event detection in push notifications

Patent metadata

Field	Value
Publication number	US-10796155-B2
Application number	US-201815913141-A
Country	US
Kind code	B2
Filing date	Mar 6, 2018
Priority date	Dec 10, 2012
Publication date	Oct 6, 2020
Grant date	Oct 6, 2020

Abstract

Systems and methods of detecting irregular events include the extraction of values for measure in each of a plurality of notifications. The extracted values are stored in a measures database and a distribution is calculated for the values of each of the measures. The extracted values are compared to the calculated distributions to determine if an irregular event has occurred. An irregularity alert is produced if an irregular event has occurred.

First claim

What is claimed is:

1. A method of detecting irregular events from acquired data, the method comprising:
acquiring data from a data acquisition system, said data comprising video data;
identifying objects in the video data;
automatedly producing, with the acquisition system, analytics data from the identified objects;
formatting a report template that is customized upon user input;
formatting the analytics data into a report notification pursuant to the report template;
extracting values of report measures from the report notification;
transmitting the extracted values across a communications interface to a measures database;
storing the extracted values in the measures database;
determining if an irregular event has occurred based upon the extracted values; and
producing an irregularity alert if an irregular event is determined.

2. The method of claim 1 , wherein the irregularity alert is a pushed notification comprising a time scale set forth in an underlying report template.

3. The method of claim 1 , wherein the irregularity alert is visually presented in a graphical user interface.

4. The method of claim 1 , further comprising receiving at least one user preference;
using the at least one user preference to determine if an irregular event has occurred.

5. The method of claim 1 , further comprising:
receiving the analytics data;
automatedly generating the analytics reports from the received analytics data; and
pushing the automatedly generated analytics reports to at least one recipient.

6. The method of claim 5 , wherein the analytics reports are automatedly generated by applying the received analytics data to at least one report template, and the at least one report template defines the report measures in each of the analytics reports.

7. The method of claim 6 , wherein the at least one report template defines the report measures and further comprises calculating the values of the report measures from the analytics data.

8. The method of claim 7 , further comprising scheduling the automated generation of the analytics reports, the calculation of the distribution for the values of the report measures, and the determination of irregular events to periodically recur.

9. A method of detecting irregular events in pushed analytics reports of analytics data, the method comprising:
automatedly generating a plurality of pushed analytics reports, wherein the generating comprises formatting report templates that are conditional upon user input and formatting the analytics data into an analytics report pursuant to the report template, each analytics report comprising values for a plurality of report measures;
extracting the values for report measures from each of the plurality of pushed analytics reports;
storing the extracted values in a measures database;
storing metadata regarding classes of report measures by transmitting the metadata across a user interface to the measures database;
calculating a distribution of values for each of the report measures;
comparing extracted values to the calculated distributions;
determining if an irregular event has occurred based upon the comparison of the extracted values to the calculated distributions;
and
producing an irregularity alert if an irregular event is determined.

10. The method of claim 9 , further comprising:
receiving at least one irregularity threshold; and
using the at least one irregularity threshold to determine if an irregular event has occurred.

11. The method of claim 9 , further comprising calculating a plurality of
distribution of values for each of the report measures for different temporal durations.

12. The method of claim 9 , further comprising:
automatedly generating a current analytics report comprising current values for the plurality of report measures;
extracting the current values from the current analytics report;
comparing the current values to the calculated distributions; and
determining if an irregular event occurred from the comparison of the current values to the calculated distributions.

13. A system for detection of irregular events, the system comprising:
a measures extractor that is configured to receive a plurality of pushed report notifications and extract a plurality of values for report measures from the plurality of pushed report notifications;
a measures database operating on a computer readable medium, the measures database receiving and storing the plurality of values from the measures extractor;
a distribution analyzer that calculates at least one distribution for each of the report measures from the plurality of values for each of the report measures;
an irregularity analyzer that is configured to utilize a feedback loop to the measures database to receive values for report measures and compare the received values to the calculated at least one distribution for each of the report measures to determine if an irregular event occurs;
a reporter module comprising report templates having formats that are conditional upon user input, the reporter module receiving analytics data and formatting the analytics data according to at least one report template to automatedly generate pushed report notifications that comprise the plurality of values for report measures.

14. The system of claim 13 , further comprising a graphical display configured to present a graphical user interface that visually presents the irregularity alert.

15. The system of claim 13 , wherein the graphical user interface further visually presents the values of the report measures.

16. The system of claim 13 further comprising an analytics engine that is configured to receive video data and analyze the video data on a frame by frame basis to produce analytics data, the analytics engine is further configured to provide the analytics data to the reporter module.

17. The system of claim 16 , further comprising a scheduler communicatively connected to the reporter module, distribution analyzer, and the irregularity analyzer, the scheduler controls the reporter module, distribution analyzer, and the irregularity analyzer to operate at predetermined intervals.

Assignees

• Verint Systems Ltd

Inventors

• Ostrovsky-Berman Yaron
• Gur Ran
• Naor Nir
• Wronsky Ran
• Milman Michael

Classifications

• G06Q10/10 Primary

  Office automation; Time management · CPC title

• G06V20/41 Primary

  Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items (segmenting video sequences G06V20/49) · CPC title

• G06V20/52

  Surveillance or monitoring of activities, e.g. for recognising suspicious objects (recognising microscopic objects G06V20/69) · CPC title

• G06V20/44

  Event detection · CPC title

• G06T7/70

  Determining position or orientation of objects or cameras (camera calibration G06T7/80) · CPC title