The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 30, 2025

Filed:

Oct. 27, 2021
Applicant:

Motorola Solutions, Inc., Chicago, IL (US);

Inventors:

Eric Johnson, Chicago, IL (US);

Yujing Su, Chicago, IL (US);

Veerapriya Veerasubramanian, Chicago, IL (US);

Benjamin Zaslow, Chicago, IL (US);

Catherine S. Witkin, Cambridge, MA (US);

Assignee:

MOTOROLA SOLUTIONS, INC., Chicago, IL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/0631 (2023.01); G06Q 10/1093 (2023.01); G06Q 50/26 (2012.01);
U.S. Cl.
CPC ...
G06Q 10/063114 (2013.01); G06Q 10/063116 (2013.01); G06Q 10/1097 (2013.01); G06Q 50/26 (2013.01);
Abstract

A device, system and method for electronically implementing corrective actions based on keep-separate attributes is provided. A keep-separate attribute associated with respective inmate profiles is generated using electronic data indicative of monitoring inmates. Schedule data, associated with the inmate profiles, which violates the keep-separate attribute within a given time period, is modified using the keep-separate attribute, to indicate a physical separation between the inmates. The keep-separate attribute and/or modification of the schedule data occurs via one or more machine-learning algorithms. The modified schedule data is stored and/or a notification of the modified schedule data is transmitted, to one or more communication devices, to instruct one or more correctional officers to physically separate the inmates within the given time period. A machine-learning feedback loop is implemented to process feedback indicative of an evaluation of one or more of the keep-separate attribute and the schedule data as modified.


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