Intercom System with Facial Recognition to Prevent Tailgating
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Solution Overview
Problem
In collective housing, suspicious or dubious individuals can enter and call residential master stations by tailgating authorized visitors, compromising security.
Innovation Solution
An intercom system with a main entrance station that captures visitor images, associates them with residence IDs, and uses facial recognition to validate calls, ensuring only authorized visitors can access residential master stations, and includes electronic locks that are released only upon matching IDs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If visitors are allowed to call residential master stations from the main entrance station, then convenience of access is improved, but security risk increases due to tailgating attacks
Solution Approach 1:
The system performs preliminary actions by capturing visitor images at the main entrance station before the visitor can potentially tailgate, and by validating the caller's identity through facial recognition before allowing access to the residential master station. This advance verification prevents unauthorized access while maintaining convenience for legitimate visitors.
Solution Approach 2:
The system introduces an intermediary verification mechanism between the visitor and the residential master station. The control means acts as a mediator that checks whether the caller's face matches the registered visitor image and verifies residence ID correspondence, thereby preventing tailgating attacks while allowing legitimate calls.
2Reliability
If facial recognition and validation systems are implemented, then security is improved, but device complexity increases
Solution Approach 1:
The control means serves multiple functions: it manages the intercom communication, performs facial recognition by comparing captured images with registered data, validates residence ID correspondence, and controls the electronic lock. This multi-functionality reduces the need for separate dedicated devices for each function, thereby managing complexity while enhancing security.
Solution Approach 2:
The system performs self-verification by automatically comparing the caller's face with the registered visitor image and checking residence ID correspondence without requiring manual intervention. This automated self-service approach enhances security while minimizing the complexity of manual verification procedures.
Data Source
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Figure 2
Figure 3A~3B
AI summary
An intercom system for collective housing comprises a main entrance station with a camera, a residential entrance substation with a camera and a residential master station for each residence in the housing, a storage unit that stores videos (V1) of visitors shot by the camera of the main entrance station by associating the videos with residence IDs of the respective residences to visit, and a control unit. The control unit includes a check unit that checks the videos (V1) against a video (V2) shot by the camera of a residential entrance substation. If the check by the check unit indicates a match, the control unit compares the residence ID associated with the match stored in the storage unit with that of the residence in which a call button of the residential entrance substation has been operated. The operation of the call button is invalidated if the IDs are different.