Title:
METHOD OF INTRUSION DETECTION
Document Type and Number:
WIPO Patent Application WO/2020/043262
Kind Code:
A1
Abstract:
Large-scale retail chains suffer from excessive security expenditure necessitated by alarms and similar incidents that requires on-site investigation by private security or police officials. This problem is aggravated by the undue rate of false alarms caused by state-of-the-art intrusion detection systems and exploited by highly skilled criminal gangs who familiarize themselves with the target property prior to breaking and entering. Solution The problem is solved by, on the one hand, predictive modeling to assess the likelihood of an intrusion or other type of failure giving reasons to invoke or signal alarm using artificial intelligence and, on the other hand, exploiting any available data sources on site and their messages to reduce false alarms.
Inventors:
BECKER JOCHEN (DE)
ZAPPEL DIETMAR (DE)
HAUKE RUDOLF (DE)
ZAPPEL DIETMAR (DE)
HAUKE RUDOLF (DE)
Application Number:
PCT/EP2018/072942
Publication Date:
March 05, 2020
Filing Date:
August 25, 2018
Export Citation:
Assignee:
XCCELO GMBH (DE)
International Classes:
G08B25/00; G06N7/00; G06Q10/04; G08B29/18; G08B31/00
Domestic Patent References:
| WO2006101472A1 | 2006-09-28 |
Foreign References:
| US20060059557A1 | 2006-03-16 | |||
| US20160180239A1 | 2016-06-23 | |||
| EP2779133A2 | 2014-09-17 | |||
| US7619512B2 | 2009-11-17 | |||
| US8949164B1 | 2015-02-03 |
Other References:
SIEGEL, ERIC: "Predictive analytics: The power to predict who will click, buy, lie, or die", 2013, JOHN WILEY & SONS, INC, ISBN: 1119145678
Attorney, Agent or Firm:
MEYER ZU BEXTEN, Elmar (DE)
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