Integrated Touch Screen Biometric Collection System
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Solution Overview
Problem
Current biometric data collection methods at touch screens are inadequate for secure identification in high-security settings, as they lack comprehensive and efficient means to verify identity through multiple modalities, potentially allowing false identification and lacking covert data collection capabilities.
Innovation Solution
A biometric data collection system integrated with touch screens that utilizes cameras, sensors, sound detection, and card readers to gather information via touch, voice, facial, iris, and chemical analysis, along with covert imaging and radiation detection, to create a comprehensive identification database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple biometric sensing methods are integrated into the touch screen, then identification accuracy is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple biometric sensing methods (fingerprint, facial recognition, iris scanning, voice recognition, DNA analysis, chemical sensors, radiation detection) into a single integrated touch screen system. This merging approach allows the system to collect comprehensive biometric data through one unified interface, improving identification accuracy while managing device complexity through integration rather than separate standalone devices.
Solution Approach 2:
The touch screen is designed to perform multiple functions: it serves as both the user interface for information entry and as a multi-modal biometric collection device. The screen can detect touches, capture images, record voice, analyze chemicals, and detect radiation, making it a universal device that handles various identification methods through a single platform.
2Reliability
If covert data collection methods are implemented, then security verification is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs covert biometric data collection automatically without requiring user awareness or action. As users interact with the touch screen for normal operations, the system secretly captures biometric data through embedded sensors, cameras, and detectors. This self-service approach maintains ease of operation while improving security verification through undisclosed data collection.
3Reliability
If comprehensive biometric data is collected through multiple modalities, then reliability of identification is improved, but loss of time increases
Solution Approach 1:
The system collects biometric data continuously and simultaneously through multiple parallel modalities rather than sequentially. While users interact with the touch screen, the system concurrently captures fingerprint data, facial images, voice samples, chemical signatures, and radiation levels through integrated sensors operating in parallel, eliminating sequential processing delays and maintaining continuous data collection.
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 secure and efficient biometric data collection, including covert methods, to verify identities accurately and detect potential threats, enhancing security in high-security environments like airports and secure areas.
Implementation Method 1
The camera may detect visible and/or infrared images
Implementation Method 2
There may be sound detection device or devices hidden in the screen or proximate to the screen which may detect a user's voice or other associated sound
Implementation Method 3
the touch screen may have devices behind the screen may emanate and detect returns of certain forms radiation, such as RF, ultrasound, and the like
Data Source
AI summary
A data collection system having a touch screen and sensors behind the touch screen for obtaining biometric data about the user. While the user is making entries on the touch screen, one or more fingerprints of the user may be taken. There may be cameras taking pictures of the user for face and iris recognition purposes. There may be microphones detecting sounds for attaining voice prints of the user. Other data about the user may be acquired during use of the touch screen. This data and information may be obtained about the user without the user being aware of such acquisition.