Touchless Identity Inspection Using BLE and Facial Recognition
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Solution Overview
Problem
Existing identity inspection methods in controlled environments, such as airports, are time-consuming and ineffective in detecting stolen IDs due to direct face-to-face comparison and lack of touchless verification.
Innovation Solution
A touchless inspection system utilizing biometric information input through a mobile app, short-range wireless communication, and facial recognition by cameras to quickly and accurately verify user identities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If direct face-to-face comparison of identification card and photo is used, then inspection can be performed, but inspection time becomes quite long
Solution Approach 1:
The system performs preliminary actions by capturing the user's face image in advance through cameras before the actual identity verification process. The captured image is then processed and compared with the identification card photo, eliminating the need for time-consuming manual comparison during the inspection process. This preliminary capture and processing of facial images significantly reduces the overall inspection time while maintaining verification accuracy.
Solution Approach 2:
The patent replaces the manual mechanical process of direct face-to-face comparison with an automated optical and computational system. Cameras capture facial images, and image processing algorithms automatically compare the captured face with the photo on the identification card. This substitution of mechanical human comparison with automated vision systems dramatically reduces inspection time while improving consistency and accuracy.
2Ease of operation
If direct comparison method is used, then identity inspection can be performed, but it is impossible to find users with stolen IDs
Solution Approach 1:
The system replaces simple manual visual comparison with an automated facial recognition system that uses cameras and image processing algorithms. This automated system can detect subtle discrepancies between the user's actual face and the photo on the identification card, including cases where stolen IDs are used. The computational analysis provides more reliable detection capabilities while maintaining ease of operation through automation.
Solution Approach 2:
The patent introduces an intermediary facial recognition system between the user and the identification card verification process. This intermediary system captures facial images through cameras, processes them using image recognition technology, and compares them with the photo on the ID. This intermediary layer adds an additional verification step that can detect stolen IDs while keeping the overall process simple and easy to operate.
3Ease of operation
If manual identification card comparison is used, then inspection can be conducted, but accuracy of identity inspection is insufficient
Solution Approach 1:
The patent replaces manual visual comparison with an automated facial recognition system that uses cameras and image processing algorithms. This automated system captures the user's face, processes the image, and compares it with the photo on the identification card using computational methods. This substitution significantly improves verification accuracy by eliminating human error and providing more precise matching, while the process remains simple and easy to operate through automation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables rapid and precise user identity verification by combining mobile self-clearance, BLE-based location recognition, and facial recognition, reducing inspection time and improving accuracy.
Implementation Method 1
the mobile may transmit a Bluetooth low energy (BLE) signal including entry/exit-related unique identification information according to the BLE protocol
Implementation Method 2
inspect the user identity using a user's face included in an image input through the one or more cameras for the specified user
Data Source
AI summary
The present disclosure discloses a touchless inspection method, apparatus and system. A touchless inspection apparatus includes a processor; and a memory connected to the processor, wherein the memory stores program instructions executed by the processor to perform user approval through biometric information when a user located at a preset checkpoint executes an approval app through his/her mobile to input the biometric information, check whether the user actually exists at the checkpoint using a wireless signal transmitted by the mobile according to a short-range communication protocol after the user approval is completed, and inspect the user identity using a user's face included in an image input through the camera installed around the checkpoint.