NZ757611B2 - Compliance metrics for offender monitoring devices - Google Patents
Compliance metrics for offender monitoring devicesInfo
- Publication number
- NZ757611B2 NZ757611B2 NZ757611A NZ75761118A NZ757611B2 NZ 757611 B2 NZ757611 B2 NZ 757611B2 NZ 757611 A NZ757611 A NZ 757611A NZ 75761118 A NZ75761118 A NZ 75761118A NZ 757611 B2 NZ757611 B2 NZ 757611B2
- Authority
- NZ
- New Zealand
- Prior art keywords
- compliance
- parameters
- weighted
- bwtd
- computing system
- Prior art date
Links
- 238000012806 monitoring device Methods 0.000 title 1
- 238000000034 method Methods 0.000 claims abstract 15
- 230000006399 behavior Effects 0.000 abstract 1
- 238000012544 monitoring process Methods 0.000 abstract 1
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0225—Monitoring making use of different thresholds, e.g. for different alarm levels
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0227—System arrangements with a plurality of child units
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0236—Threshold setting
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0261—System arrangements wherein the object is to detect trespassing over a fixed physical boundary, e.g. the end of a garden
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0269—System arrangements wherein the object is to detect the exact location of child or item using a navigation satellite system, e.g. GPS
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0288—Attachment of child unit to child/article
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/22—Status alarms responsive to presence or absence of persons
Abstract
Example techniques of this disclosure are directed determining one or more values that represent a monitoring attribute for one or more body-worn tracking devices (BWTDs). In some instances, the techniques include determining a compliance metric that represents a level of compliance for at least one offender. That is, the compliance metric may be a quantitative value that represents whether a user wearing BWTD is complying with established rules or desired behaviors.
Claims (18)
1. A system comprising: at least one body-worn tracking device (BWTD) configured to transmit location data that indicates a location of the at least one BWTD; and a computing system configured to communicate with the at least one BWTD, and wherein the computing system is further configured to: receive the location data from the at least one BWTD; determine, for a time period comprising a plurality of instances of the location data, a compliance metric based on a set of compliance parameters, the compliance metric indicating a level of compliance for at least one offender for the time period; and perform at least one operation based on the compliance metric, wherein to determine the compliance metric, the computing system is configured to: determine, by assigning a weight to respective compliance parameters of the set of compliance parameters, a set of weighted compliance parameters; wherein to determine the compliance metric the computing system is configured to determine a weighted compliance score based on the set of weighted compliance parameters; and, wherein the computing system is configured to determine the set of weighted compliance parameters by assigning a scalar weight to respective compliance parameters or by assigning a discrete weight to respective compliance parameters.
2. The system of claim 1, wherein the computing system is configured to determine the set of weighted compliance parameters based on an offense committed by an offender associated with the at least one BWTD.
3. The system of claim 1, wherein the computing system is configured to determine the set of weighted compliance parameters based on one or more events of a history of events of an offender associated with the at least one BWTD.
4. The system of claim 1, wherein the computing system is configured to determine the set of weighted compliance parameters based on input from an administrator responsible for an offender associated with the at least one BWTD.
5. The system of claim 4, wherein the computing system is further configured to: generate graphical user interface (GUI) data for a GUI that comprises user-selectable graphical elements corresponding to the set of weighted compliance parameters; and wherein the input from an administer is provided via the user-selectable graphical elements.
6. The system of claim 1, wherein to determine the weighted compliance score, the computing system is configured to determine a sum of products of weighted compliance parameters of the set of weighted compliance parameters.
7. The system of claim 1, wherein the computing system is further configured to: determine a zone compliance value based on the location data, wherein the zone compliance value indicates whether the at least one BWTD is in proximity to a forbidden zone; and wherein a compliance parameter of the set of compliance parameters comprises the zone compliance value.
8. The system of claim 1, wherein the computing system is further configured to: determine a location compliance value based on the location data and data that indicates a time of day, wherein the location compliance value indicates whether the at least one BWTD is in an approved location at an approved time of day; and wherein a compliance parameter of the set of compliance parameters comprises the location compliance value.
9. The system of claim 1, wherein the computing system is further configured to: determine a crime scene compliance value based on the location data, wherein the crime scene compliance value indicates whether the at least one BWTD is in proximity to a geographical area designated as being a crime scene; and wherein a compliance parameter of the set of compliance parameters comprises the crime scene compliance value.
10. A method comprising: receiving, by a computing device, location data from at least one body-worn tracking device (BWTD), wherein the location data indicates a location of the at least one BWTD; determining, for a time period comprising a plurality of instances of the location data, a compliance metric based on a set of compliance parameters, the compliance metric indicating a level of compliance for at least one offender for the time period; and performing at least one operation based on the compliance metric, wherein the determining of the compliance metric, the computer system is configured to: determine, by assigning a weight to respective compliance parameters of the set of compliance parameters, a set of weighted compliance parameters; wherein to determine the compliance metric the computing system is configured to determine a weighted compliance score based on the set of weighted compliance parameters wherein the computing system is configured to determine the set of weighted compliance parameters by assigning a scalar weight to respective compliance parameters or by assigning a discrete weight to respective compliance parameters.
11. The method of claim 10, wherein to determine the compliance metric, the method comprises: determining, by assigning a weight to respective compliance parameters of the set of compliance parameters, a set of weighted compliance parameters; and wherein to determine the compliance metric, the computing device is configured to determine a weighted compliance score based on the set of weighted compliance parameters.
12. The method of claim 11, wherein determining the set of weighted compliance parameters comprises determining the set of weighted compliance parameters based on an offense committed by an offender associated with the at least one BWTD.
13. The method of claim 11, wherein determining the set of weighted compliance parameters comprises determining the set of weighted compliance parameters based on one or more events of a history of events of an offender associated with the at least one BWTD.
14. The method of claim 10, wherein, wherein the method further comprises: determining a zone compliance value based on the location data, wherein the zone compliance value indicates whether the at least one BWTD is in proximity to a forbidden zone; and wherein a compliance parameter of the set of compliance parameters comprises the zone compliance value.
15. The method of claim 10, wherein the method further comprises: determining a location compliance value based on the location data and data that indicates a time of day, wherein the location compliance value indicates whether the at least one BWTD is in an approved location at an approved time of day; and wherein a compliance parameter of the set of compliance parameters comprises the location compliance value.
16. The method of claim 10, wherein the method further comprises: determining a crime scene compliance value based on the location data, wherein the crime scene compliance value indicates whether the at least one BWTD is in proximity to a geographical area designated as being a crime scene; and wherein a compliance parameter of the set of compliance parameters comprises the crime scene compliance value.
17. The method of claim 10, wherein the method further comprises: determining an offender proximity compliance value based on the location data, wherein the offender proximity compliance value indicates whether the at least one BWTD is in proximity to one or more other BWTDs; and wherein a compliance parameter of the set of compliance parameters comprises the offender proximity compliance value.
18. A system comprising: at least one body-worn tracking device (BWTD) configured to transmit location data that indicates a location of the at least one BWTD; and a computing system configured to communicate with the at least one BWTD, and wherein the computing system is further configured to: receive the location data from the at least one BWTD; determine, for a time period comprising a plurality of instances of the location data, a compliance metric based on a set of compliance parameters, the compliance metric indicating a level of compliance for at least one offender for the time period; and perform at least one operation based on the compliance metric, wherein to determine the compliance metric, the computing system is configured to: determine, by assigning a weight to respective compliance parameters of the set of compliance parameters, a set of weighted compliance parameters; and wherein to determine the compliance metric the computing system is configured to determine a weighted compliance score based on the set of weighted compliance parameters wherein to determine the weighted compliance score, the computing system is configured to determine a sum of products of weighted compliance parameters of the set of weighted compliance parameters.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201762483234P | 2017-04-07 | 2017-04-07 | |
PCT/IL2018/050378 WO2018185751A1 (en) | 2017-04-07 | 2018-03-29 | Compliance metrics for offender monitoring devices |
Publications (2)
Publication Number | Publication Date |
---|---|
NZ757611A NZ757611A (en) | 2024-01-26 |
NZ757611B2 true NZ757611B2 (en) | 2024-04-30 |
Family
ID=
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US20220269908A1 (en) | Data anomaly detection | |
US20160179063A1 (en) | Pipeline generation for data stream actuated control | |
US10002144B2 (en) | Identification of distinguishing compound features extracted from real time data streams | |
AU2018200016A1 (en) | Systems and methods for anomaly detection | |
US10884891B2 (en) | Interactive detection of system anomalies | |
JP6355683B2 (en) | Risk early warning method, apparatus, storage medium, and computer program | |
CN113924563A (en) | Machine learning classifier for identifying internet service providers through website tracking | |
Cook | Predicting future physical injury in sports: it's a complicated dynamic system | |
US20180324202A1 (en) | System and Method for Threat Incident Corroboration in Discrete Temporal Reference Using 3D Dynamic Rendering | |
CN108830177A (en) | Farming operations behavior checking method and device | |
US11188642B2 (en) | Displaying real-time security events | |
CN113313280B (en) | Cloud platform inspection method, electronic equipment and nonvolatile storage medium | |
WO2016099447A1 (en) | Personalized application recommendations | |
CN111949502A (en) | Database early warning method and device, computing equipment and medium | |
CN110852780A (en) | Data analysis method, device, equipment and computer storage medium | |
CN107819745B (en) | Method and device for defending against abnormal traffic | |
CN104937613A (en) | Heuristics to quantify data quality | |
US11842810B1 (en) | Real-time feedback systems for tracking behavior change | |
US20220156672A1 (en) | Information processing apparatus and method | |
US11475324B2 (en) | Dynamic recommendation system for correlated metrics and key performance indicators | |
NZ757611B2 (en) | Compliance metrics for offender monitoring devices | |
NZ757611A (en) | Compliance metrics for offender monitoring devices | |
US20170221001A1 (en) | Method and system for real-time human resource activity impact assessment and real-time improvement | |
CN111160738A (en) | Event processing method and device, storage medium and electronic device | |
US11120383B2 (en) | System and methods for operator profiling for improving operator proficiency and safety |