Video Analytics Access Control Prevents Tailgating
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Solution Overview
Problem
Existing access control systems are inadequate in preventing tailgating, as they are reactive and fail to proactively detect unauthorized individuals following authorized users, compromising security in sensitive areas.
Innovation Solution
A system and method that utilize a video input device to monitor the secure boundary area around an access point, determining the number of users through video analytics or biometric verification, and deny access if the threshold is exceeded, thereby preventing tailgating and enhancing security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing access control systems count people at the access checkpoint, then the system can detect tailgating after it occurs, but the system remains reactive rather than proactive, allowing security breaches before detection
Solution Approach 1:
The system performs preliminary actions by monitoring and counting individuals in the secure boundary area before access decisions are made. The video input device continuously captures image data and determines the number of users in advance, allowing the system to prevent tailgating before it compromises security, rather than detecting it after the fact
Solution Approach 2:
The system implements feedback by using video analytics to continuously monitor the secure boundary area and provide real-time information about the number of users present. This feedback loop allows the access control system to adjust access decisions dynamically based on current conditions, enabling proactive prevention of tailgating attempts
2Reliability
If the system monitors the secure boundary area continuously using video analytics, then the system can proactively detect tailgating attempts, but the device complexity and processing requirements increase
Solution Approach 1:
The system uses an intermediary approach by introducing a video input device and video analytics processing layer between the physical secure boundary area and the access control decision-making system. This intermediary layer captures image data, determines user counts, and provides processed information to the access control system, enabling proactive detection without requiring complete system redesign
Solution Approach 2:
The system replaces traditional mechanical or manual access control methods with electronic video analytics technology. Instead of relying on physical checkpoints and manual monitoring, the system uses video input devices and automated image processing to detect and prevent tailgating, reducing the need for complex mechanical access control infrastructure
3Reliability
If the system denies access when multiple users are detected in the secure boundary area, then tailgating is prevented, but legitimate multi-user access scenarios may be incorrectly blocked
Solution Approach 1:
The system applies dynamics by making access control decisions adaptive rather than static. Instead of uniformly denying access whenever multiple users are present, the system dynamically evaluates each situation based on real-time video analytics data, user verification results, and contextual factors, allowing legitimate multi-user access while preventing tailgating
Solution Approach 2:
The system changes parameters by using multiple verification techniques and adjustable thresholds for determining when to deny access. Rather than a fixed rule that blocks all multi-user scenarios, the system modifies access decisions based on varying parameters such as verification results, user authorization levels, and temporal patterns, enabling discrimination between tailgating and legitimate multi-user access
Data Source
AI summary
A computer device for enhancing security of a secured area that comprises a video input device and a processor configured to receive a request to access the secured area at an access point associated with the secured area, obtain an image data of a secure boundary area associated with the access point, determine the number of users in the secure boundary area based on the image data, determine whether to grant an access in response to the request based on one or more rules, grant the access in response to the request in accordance with the rules when the number of users in the secure boundary area is less than or equal to a threshold, and deny the access in response to the request in accordance with the rules and when the number of users in the secure boundary area is greater than the threshold.