Access Control Point Entry Using Shared Credential Analytics
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Solution Overview
Problem
Repeated processing of credentials at access control points is inefficient, especially when multiple users transport objects into a building, requiring each user to present credentials multiple times, which wastes processing resources and slows down entry.
Innovation Solution
A system that uses analytics algorithms to recognize users and associated objects through camera images, allowing extended application of valid user credentials for multiple users entering access control points, reducing the need for repeated credential verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If each user presents credentials at access control points for repeated entry, then access control security is maintained, but processing time and system efficiency deteriorate
Solution Approach 1:
The system performs preliminary actions by capturing images of users and objects at the access control point before credential verification. These images are stored and later used to automatically identify users and their associated objects during subsequent entries, eliminating the need for repeated manual credential verification and reducing processing time while maintaining security
Solution Approach 2:
The system uses feedback from camera images to automatically recognize users and objects. The analytics algorithms analyze captured images, identify users and their associated objects, and use this information to automatically grant access without requiring repeated credential presentation, thereby reducing processing time while maintaining security through continuous monitoring
2Reliability
If repeated credential verification is performed for multiple users, then access control reliability is maintained, but processing resources are wasted
Solution Approach 1:
The system creates a copy of the access control verification process by using image-based identification instead of repeated physical credential verification. Camera images serve as digital copies that capture user and object information, which then triggers automated access granting without requiring repeated manual verification, thereby improving processing efficiency while maintaining reliability
Solution Approach 2:
The system enables self-service by using the camera and analytics algorithms to automatically identify users and their associated objects without requiring manual intervention for each verification step. The system serves itself by automatically processing images, identifying users, and granting access, which reduces the workload on processing resources and improves overall efficiency
3Adaptability or versatility
If multiple users transport objects through access control points, then operational flexibility is improved, but credential processing complexity increases
Solution Approach 1:
The system segments the access control process into distinct functional components: camera capture, image analysis, user identification, object association, and access granting. This segmentation allows each component to handle specific tasks independently, making the overall system more manageable and less complex while maintaining the ability to handle multiple users and objects flexibly
Solution Approach 2:
The system introduces an intermediary layer using camera images and analytics algorithms between the physical credential verification and the access granting process. This intermediary mediates by capturing visual information, analyzing it to identify users and objects, and then triggering the appropriate access control actions, which simplifies the overall processing complexity while maintaining operational flexibility
Data Source
AI summary
A computing device receives, from a first access control point, valid user credentials associated with a first user, and responsively controls the first access control point to allow entry therethrough. The device: receives, from one or more cameras, images depicting the first user, a second user, and a plurality of objects; and determines, using one or more analytics algorithms applied to the images, that the first user is transporting a first object of the objects, and that the objects are detectably associated. The device: determines, using the analytics algorithms applied to the images, that the second user is transporting a second object of the objects, and that the second user is at or is approaching the first access control point; and responsively controls the first access control point to allow entry therethrough for the second user based on extended application of the valid user credentials to the second user.