Facial Authentication Gate Using Wireless Tag Pre-Registration
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Solution Overview
Problem
Facial authentication systems face challenges in ensuring recognition accuracy and throughput when dealing with large databases of facial feature values, especially in scenarios where users can pass through gates without stopping, making it difficult to perform 1:N collation from non-frontal or small-sized face images captured in real-time.
Innovation Solution
A gate apparatus that includes a reader for receiving identifiers from wireless tags, an imaging part for capturing user images, an extraction part for extracting facial features, and a collation part to match these features with pre-registered values, allowing for improved throughput without requiring card touching, by narrowing down the number of authentication targets using wireless tags and prioritizing facial feature values based on moving direction and priority.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If facial authentication is performed using a large database of facial feature values, then the recognition accuracy decreases due to similar feature values, but the system needs to maintain high accuracy for secure authentication
Solution Approach 1:
The system performs preliminary actions by acquiring facial feature values from wireless tags before the user reaches the gate, and prepares the authentication database in advance. This allows the system to pre-process and organize facial feature data, reducing the computational burden during actual authentication and maintaining accuracy even with large databases
Solution Approach 2:
The authentication process is segmented into multiple stages: preliminary acquisition of facial feature values from wireless tags, real-time image capture at the gate, and collation comparison. This segmentation allows the system to handle large databases efficiently by breaking down the authentication process into manageable steps, each optimized for specific tasks
2Productivity
If real-time image capture and collation is performed for multiple users, then the throughput increases, but the processing time and computational load increase
Solution Approach 1:
The system acquires facial feature values from wireless tags in advance before users reach the gate. This preliminary action stores authentication data beforehand, so that when multiple users need to pass through, the system can quickly compare pre-stored values with real-time images without extensive processing, thus maintaining high throughput while minimizing processing time
Solution Approach 2:
The system replaces traditional mechanical card-swiping authentication with wireless tag-based facial feature acquisition. This substitution enables non-contact, automated data capture that can handle multiple users simultaneously without the physical constraints of card reading, significantly improving throughput while reducing per-user processing time
3Reliability
If the gate apparatus requires card touching for authentication, then the security is improved, but the ease of operation decreases and throughput is reduced
Solution Approach 1:
The system replaces mechanical card-touching authentication with wireless communication and optical image capture. Wireless tags enable contactless identification, while cameras capture facial images for verification. This substitution maintains security through multiple verification layers while dramatically improving ease of operation and allowing continuous user flow without stopping to insert or touch cards
4Productivity
If facial images are captured from moving users without stopping, then the throughput increases, but the image quality and recognition accuracy decrease
Solution Approach 1:
The system performs preliminary acquisition of facial feature values from wireless tags before users reach the gate. This pre-captured data serves as a reference that can be quickly compared with motion-blurred or lower-quality images taken during passage, enabling accurate authentication even when users are moving without stopping
Solution Approach 2:
The wireless tag acts as an intermediary that provides stable, pre-acquired facial feature data. This intermediary reference allows the system to compensate for poor image quality from moving users by comparing against the reliable pre-captured features, maintaining recognition accuracy while enabling continuous throughput
Data Source
AI summary
There are provided a reader that receives one or more identifiers transmitted by one or more wireless tags of one or more users entering a wireless area located outside one end of a longitudinal direction of a gate; an acquisition part that acquires a facial feature value registered in association with each identifier received from each wireless tag; an imaging part that captures image of the user; an extraction part that extracts a facial feature value from image data generated by the imaging part; and a face collation part that receives the facial feature value extracted by the extraction part and checks whether or not the facial feature value match one or more facial feature values acquired by the acquisition part.