Compliance metrics for offender monitoring devices
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.
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 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.
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 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 and
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.