EP-4738218-A1 - ACCESS BADGE GENERATION USING ARTIFICIAL INTELLIGENCE

Abstract

A new badge for a user of a facility may be generated to physically access one or more areas of a facility. A Large Language Model (LLM) may be provided with access to one or more databases associated with the facility. The LLM may be prompted to automatically complete at least part of a badge request form for the new or renewed badge for the user of the facility, wherein the badge request form, once completed and approved, authorizes activation of the new or renewed badge for the user of the facility. The LLM may automatically populate at least part of the badge request form by extracting respective information from the one or more databases associated with the facility.

Inventors

• MUTHURAMALINGAM, Marimuthu Vivek
• BHATHEY, BALAJI SIVAKUMAR
• SANTHIYAGU, David
• GURUSAMY, Malathy
• SIRSATH, Puja Pratap
• A, Crosbi Win Samuel

Assignees

• Honeywell International Inc.

Dates

Publication Date

20260506

Application Date

20251014

Claims (15)

1. A method for generating a new or renewed badge for a user of a facility, the badge including access rights for physically accessing one or more areas of a facility, the method comprising: providing a Large Language Model (LLM) with access to one or more databases associated with the facility; and prompting the LLM to automatically complete at least part of a badge request form for the new or renewed badge for the user of the facility, wherein the badge request form, once completed and approved, authorizes activation of the new or renewed badge for the user of the facility, the badge request form includes two or more information fields, wherein the LLM automatically populates a plurality of the two or more information fields of the badge request form by extracting respective information from the one or more databases associated with the facility.
2. The method of claim 1, comprising: submitting the badge request form for approval once completed; receiving approval of the badge request form; and activating the new or renewed badge for the user once approved.
3. The method of either of claims 1 or 2, wherein the one or more databases include a human resources database associated with the facility, wherein the human resources database includes personal information of the users that are associated with the facility.
4. The method of claim 3, wherein the two or more information fields of the badge request form include a name field, an access rights field, an access rights expiration time field, and one or more of: a birth date field, a gender field, a height field, a weight field, a hair color field, an eye color field, a picture field, a national ID number field, a blood type field, a country of citizenship field, a job title field, a job class field, and a work location field; optionally wherein the two or more information fields of the badge request form include a hair color field, and wherein the LLM processes a picture of the user of the facility to extract the hair color of the user from the picture, and automatically populates the hair color field of the badge request form with the extracted hair color.
5. The method of any of claims 1-4, wherein the one or more databases include at least part of an organizational chart of an organization associated with the facility, wherein the organizational chart identifies one or more supervisors and/or one or more coworkers of at least some of the users of the facility.
6. The method of claim 5, wherein the one or more databases includes the access rights currently assigned to at least one of the one or more supervisors and/or one or more of the coworkers of the user, and wherein the LLM automatically populates the access rights field for the user with assess rights that are derived from the access rights of one or more supervisors and/or access rights of one or more of the coworkers of the user.
7. The method of claim 5, wherein the one or more databases include access logs that log prior accesses by the one or more supervisors and/or the one or more of the coworkers of the user, wherein the LLM automatically populates the access rights field of the badge request form for the user with assess rights that are derived at least in part from the prior accesses by the one or more supervisors and/or the prior accesses of one or more of the coworkers of the user.
8. The method of any of claims 1-7, wherein for a badge renewal, the one or more databases include access logs that log prior accesses of the user, and wherein the LLM automatically populates the access rights field for the user with assess rights that are derived at least in part from the prior accesses of the user.
9. The method of any of claims 1-8, wherein the one or more databases include communication logs that log communications between users of the facility, and wherein the LLM automatically populates the access rights field for the user with assess rights that are derived at least in part from the communication logs between users of the facility.
10. The method of any of claims 1-9, wherein the one or more databases include information fields from prior authorized badge requests forms, and wherein the LLM automatically suggests changes to one or more of the information fields of the badge request form based at least in part on one or more of the information fields of prior authorized badge requests forms; further optionally: wherein the suggested changes to one or more of the information fields comprise a change to comply with a naming convention and/or format; and/or wherein the suggested changes to one or more of the information fields comprise a change to comply with a facility specific naming convention.
11. The method of any of claims 1-10, wherein the one or more databases include an access rights expiration time for each authorized user of the facility, the method comprising prompting the LLM to estimate a workload for generating new and/or renewed badges over a future time period based at least in part on the access rights expiration time for each of the authorized user of the facility.
12. The method of any of claims 1-11, wherein the one or more databases include an access badge activation time for each authorized user of the facility, the method comprising prompting the LLM to estimating a rate at which badges can be processes based at least in part on the access badge activation time for at least some of the authorized users of the facility.
13. A system for generating a new or renewed badge for a requesting user of a facility, the badge including access rights for physically accessing one or more areas of the facility, the system comprising: one or more databases (12) that include user information (14) of a plurality of users of the facility, access rights (16) for the plurality of users of the facility, and one or more user associations and/or relationships (18) between the plurality of users of the facility; a controller (20) operatively coupled to the one or more databases, the controller configured to: provide a Large Language Model (LLM) access to the one or more databases; submit one or more prompts to the LLM, prompting the LLM to determine access rights for the requesting user based at least in part on the access rights for the plurality of users of the facility and one or more user associations and/or relationships between the requesting user and one or more of the plurality of users of the facility; and automatically create a badge request for the requesting user that includes the determined access rights.
14. The system of claim 13, wherein the one or more databases include access logs that log prior access events of the plurality of users of the facility, and wherein the controller is configured to prompt the LLM to identify patterns in prior access events of the plurality of users of the facility and determine access rights for the requesting user based at least in part on the identified patterns in the prior access events of the plurality of users of the facility and the one or more user associations and/or relationships between the requesting user and the one or more of the plurality of users of the facility.
15. A non-transitory computer readable medium storing instructions thereof that when executed by one or more processors cause the one or more processors to: provide a Large Language Model (LLM) with access to one or more databases associated with a facility; prompt the LLM to automatically complete at least part of a badge request for a requesting user of the facility, wherein the badge request, once completed and approved, authorizes activation of a badge to provide the requesting user access to at least part of the facility, the badge request includes two or more information fields, wherein the LLM automatically populates a plurality of the two or more information fields of the badge request by extracting respective information from the one or more databases associated with the facility; and wherein the two or more information fields of the badge request include a name field, an access rights field, an access rights expiration time field, and one or more of: a birth date field, a gender field, a height field, a weight field, a hair color field, an eye color field, a picture field, a national ID number field, a blood type field, a country of citizenship field, a job title field, a job class field, and a work location field.

Description

TECHNICAL FIELD The present disclosure relates generally to badging systems for providing badges to access secure facilities. More particularly, the present disclosure relates to using artificial intelligence to help automate the creation of badges in a badging system. BACKGROUND In a conventional badging system, the process of issuing badges to users is heavily reliant on human input, which can increase the likelihood of errors. This also hinders the efficiency of badging operators and reduces their capacity to handle the volume of badges that often need to be issued within a specific timeframe. Conventional badging systems suffer from inefficiencies and potential risks due to heavy reliance on manual processes. In some facilities, the high volume of daily badge issuance can exacerbate these challenges, leading to errors, delays, and increased vulnerability to unauthorized access. What would be desirable is a badging system that automates and streamlines the badge issuance and management processes, reducing reliance on manual intervention and reducing the risk of errors and unauthorized access. What would be desirable are ways to meet daily badging requirements more effectively, ensuring smooth operations and compliance with security standards. What would be desirable are ways to reduce the labor costs associated with manual badging operations and to streamline operational workflows, leading to significant cost savings. SUMMARY The present disclosure relates generally to badging systems. More particularly, the present disclosure relates to using artificial intelligence to help automate the creation of badges in a badging system. An example may be found in a method for generating a new or renewed badge for a user of a facility, where the badge includes access rights for physically accessing one or more areas of a facility. The method includes providing a Large Language Model (LLM) with access to one or more databases associated with the facility, such as a Human Resources (HR) database. The LLM is prompted to automatically complete at least part of a badge request form for the new or renewed badge for the user of the facility, wherein the badge request form, once completed and approved, authorizes activation of the new or renewed badge for the user of the facility. In some cases, the badge request form includes two or more information fields, wherein the LLM automatically populates a plurality of the two or more information fields of the badge request form by extracting respective information from the one or more databases associated with the facility (e.g. an HR database). Another example may be found in a system for generating a new or renewed badge for a requesting user of a facility, where the badge includes access rights for physically accessing one or more areas of the facility. The system includes one or more databases that include user information of a plurality of users of the facility, access rights for the plurality of users of the facility, and one or more user associations and/or relationships between the plurality of users of the facility. A controller is operatively coupled to the one or more databases. The controller is configured to provide a Large Language Model (LLM) access to the one or more databases. The controller is configured to submit one or more prompts to the LLM, prompting the LLM to determine access rights for the requesting user based at least in part on the access rights of the plurality of users of the facility and one or more user associations and/or relationships between the requesting user and one or more of the plurality of users of the facility. The controller is configured to automatically create a badge request for the requesting user that includes the determined access rights. Another example may be found in a non-transitory computer readable medium storing instructions thereof. When the instructions are executed by one or more processors, the one or more processors are caused to provide a Large Language Model (LLM) with access to one or more databases associated with a facility. The one or more processors are caused to prompt the LLM to automatically complete at least part of a badge request for a requesting user of the facility, wherein the badge request, once completed and approved, authorizes activation of a badge to provide the requesting user access to at least part of the facility. In some cases, the badge request includes two or more information fields, wherein the LLM automatically populates a plurality of the two or more information fields of the badge request by extracting respective information from the one or more databases associated with the facility. The two or more information fields of the badge request may include a name field, an access rights field, an access rights expiration time field, and one or more of: a birth date field, a gender field, a height field, a weight field, a hair color field, an eye color field, a picture field, a national ID n