Access Control Point Analytics Resource Allocation
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Solution Overview
Problem
Deploying video analytics capabilities at every access control point is cost-prohibitive due to expensive cameras and compute resources, and performing video analytics on every entity can cause delays and queues.
Innovation Solution
Implement a system that determines if additional video analytics are required based on unusual activity, directing resources such as PTZ cameras and cloud processing only when necessary, and providing misleading messages to avoid raising suspicion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video analytics capabilities are deployed at every access control point, then security monitoring coverage is improved, but system cost increases significantly
Solution Approach 1:
The system segments video analytics processing into two levels: basic analytics performed locally at each access control point, and additional advanced analytics performed only when unusual activity is detected. This segmentation allows comprehensive security coverage while avoiding the cost of deploying expensive analytics capabilities at every location continuously.
Solution Approach 2:
Instead of performing all video analytics on every entity at every access control point, the system applies partial action by running additional analytics only on entities that trigger unusual activity detection. This selective approach maintains security effectiveness while significantly reducing resource consumption and costs.
2Reliability
If video analytics are performed on every entity traversing the access control point, then security detection capability is improved, but traversal time increases causing delays
Solution Approach 1:
The system performs video analytics selectively rather than on every entity. Basic analytics run on all entities, but additional advanced analytics are triggered only when unusual activity is detected, ensuring security detection capability while minimizing traversal delays for normal entities.
Solution Approach 2:
The system uses periodic basic analytics to monitor all entities, with additional analytics triggered periodically only when needed. This periodic approach with conditional escalation maintains security detection while avoiding continuous heavy processing that would cause delays.
3Power
If additional analytics resources are directed to access control points continuously, then analytics processing capability is improved, but resource utilization efficiency deteriorates
Solution Approach 1:
The system dynamically allocates analytics resources based on detected needs. When unusual activity is detected, additional analytics resources are activated at that location; when no unusual activity occurs, resources are deactivated or redirected. This dynamic allocation improves processing capability when needed while maximizing resource utilization efficiency during normal operations.
Solution Approach 2:
The system creates a pool of additional analytics resources that can be dynamically assigned to multiple access control points as needed. These universal resources serve multiple locations rather than being dedicated to single points, improving overall resource utilization efficiency while maintaining the capability to enhance analytics processing at any location when unusual activity is detected.
Data Source
AI summary
Techniques for executing additional analytics at an access control point are provided. A target at an access control point attempting to traverse the access control point is identified. The target is provided an indication that traversal of the access control point is delayed. Additional analytics resources are directed to the access control point. Additional analytics are run on the target using the additional analytics resources. The target is allowed to traverse the access control point once the additional analytics have completed.