METHOD AND APPARATUS FOR IMPROVING DISPATCH OF DIFFERENT TYPES OF LAW ENFORCEMENT PATROLS FOR ACHIEVING A DESIRED DETERRENT EFFECT

    公开(公告)号:US20180012323A1

    公开(公告)日:2018-01-11

    申请号:US15203998

    申请日:2016-07-07

    CPC classification number: G06Q50/265 G01C21/26 G01C21/3697

    Abstract: A process for improving dispatch of different types of law enforcement patrols (LEPs) for achieving a desired deterrent effect includes first receiving patrol route information indicating patrol routes taken by first LEPs, and then determining, as a function of a type of each of the first LEPs, a threshold level of deterrence reached for each of the patrol routes taken. Subsequently, a threshold level of deterrence desired (TLoDD) for each of the plurality of patrol routes is determined as a function of historical and/or real-time crime information. A first patrol route having a threshold level of deterrence reached (TLoDR) that is less than a TOoDD is identified and, as a function of the difference, a particular type of second LEP having a sufficient deterrent effect factor to compensate for the difference is identified. An available responding second LEP of the particular type is then identified for dispatch.

    METHOD AND SYSTEM FOR AUTOMATICALLY DETECTING AND RESOLVING ACCIDENTAL EMERGENCY CALLS

    公开(公告)号:US20190325288A1

    公开(公告)日:2019-10-24

    申请号:US15960695

    申请日:2018-04-24

    Abstract: An example method and apparatus for processing accidental emergency calls is provided herein. The example method includes monitoring an emergency call with an active learning artificial intelligence (AI) bot implemented by a processor. The example method further includes determining, by the AI bot, that the emergency call was disconnected prior to a call taker resolving the emergency call. The example method additionally includes providing, by the AI bot, a score indicative of the likelihood that the emergency call was an accidental call, wherein the call may be based on real-time and historical data. The example method also includes recommending, by the AI bot, a response to the emergency call based upon the score.

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