Access Point Tailgating Detection Using Multi-Sensor Object Counts
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Solution Overview
Problem
Existing access control systems are vulnerable to tailgating events, where unauthorized individuals gain access by following authorized individuals, lacking efficient and secure methods to prevent such incidents.
Innovation Solution
An access control system utilizing multiple visual sensors to capture images from different angles and angles, comparing object counts to detect tailgating events, and providing visual and audible notifications or controlling access points accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single access input device is used to authenticate individuals, then the system is simple to operate, but it is vulnerable to tailgating events where unauthorized individuals can follow authorized individuals into restricted areas
Solution Approach 1:
The system divides the access control function into multiple independent sensor units positioned at different locations. Each sensor captures images independently, and the system segments the analysis by comparing object counts from multiple perspectives to detect tailgating events, thereby improving security without creating a single complex device
Solution Approach 2:
The patent introduces an intermediary processing system that receives images from multiple sensors, counts objects in each image, and compares the counts to detect discrepancies indicating tailgating. This intermediary layer coordinates the multiple sensors without requiring complex integration at each sensor unit, maintaining operational simplicity while enhancing security
2Measurement precision
If multiple sensors are deployed to detect tailgating events, then detection accuracy improves, but the system complexity and cost increase
Solution Approach 1:
The system uses multiple sensors to capture more images than strictly necessary, processing each image independently to count objects. By performing excessive detection (multiple independent counts) and comparing results, the system achieves high detection accuracy without requiring complex coordination between sensors, as each sensor performs a simple independent function
3Reliability
If traditional access control systems are used, then the system is easy to operate, but they cannot effectively prevent unauthorized access by tailgaters
Solution Approach 1:
The system performs automatic detection and comparison of object counts from multiple sensor images without requiring user intervention. The access control decision is made autonomously by comparing sensor data and identifying discrepancies, eliminating the need for additional user actions while maintaining ease of operation for authorized users
Data Source
AI summary
Apparatus and methods for controlling access to a restricted area by an access control device includes obtaining a first image using a first sensor mounted at a first location. A second image is obtained using a second sensor mounted at a location different from a location of the first sensor. The second image is processed, using the second sensor, to obtain information regarding the detected objects in the second image. The information regarding the detected objects is sent from the second sensor to the first sensor. The first sensor compares the received information with a number of objects detected using the first image. A tailgating event is identified, in response to determining that the number of objects detected using the first image does not match the information regarding the number of objects detected using the second image. A tailgating notification is outputted, by the first sensor, indicating a tailgating event.