Smart Device Autofocus for Hidden Security Feature Authentication
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Solution Overview
Problem
Current methods for authenticating documents and detecting hidden security features using smart devices face challenges such as camera systems designed for focusing on faces, varying focal lengths, and reduced computing power and battery life in mobile devices, limiting their effectiveness in capturing and processing hidden security information.
Innovation Solution
A system that equips smart devices with a camera and capture application, enabling them to capture and preprocess images containing hidden security features, and communicate with a network-based security service for decoding and authentication, using a security-specific autofocus function to optimize image capture and processing, and a cloud-based service to support multiple types of hidden security features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If camera systems are designed for focusing on faces, then ease of operation is improved, but measurement precision of hidden security features deteriorates
Solution Approach 1:
The patent implements a security-specific autofocus function that dynamically adjusts the camera's focus parameters based on the detected security feature pattern. The system transitions from static face-focused autofocus to dynamic security-feature-adaptive autofocus, allowing the camera to optimize focus for different security feature types and locations while maintaining ease of operation through automatic adjustment.
Solution Approach 2:
The patent changes the focal parameters of the camera system from face-optimized settings to security-feature-optimized settings. By modifying focus distance, aperture, and focal length parameters dynamically based on the security feature being scanned, the system achieves precise measurement of hidden security features while maintaining user-friendly operation through automatic parameter adjustment.
2Adaptability or versatility
If varying focal lengths are used, then adaptability is improved, but measurement precision deteriorates
Solution Approach 1:
The system dynamically selects and switches between different focal lengths based on the detected security feature type and distance. The autofocus function automatically determines the appropriate focal length from multiple available options, providing adaptability to various security feature configurations while maintaining measurement precision through optimal focal length selection for each specific case.
Solution Approach 2:
The camera system performs self-adjustment by automatically selecting the appropriate focal length based on the security feature being scanned. The system uses image processing algorithms to detect security feature characteristics and autonomously adjusts focal length without user intervention, combining adaptability with precision through intelligent self-service operation.
3Device complexity
If computing power is reduced in mobile devices, then device complexity is reduced, but productivity of security feature authentication deteriorates
Solution Approach 1:
The patent divides the authentication system into two segments: a mobile device component for capturing images and basic processing, and a server component for intensive decoding and authentication. This segmentation allows mobile devices to maintain low complexity while the server handles computationally intensive tasks, thereby preserving high productivity in the overall authentication process.
Solution Approach 2:
The patent introduces an intermediary server that acts as a computational bridge between the mobile device and the authentication database. The server receives captured images, performs intensive decoding and authentication operations, and returns results to the mobile device. This intermediary architecture enables mobile devices to maintain simplicity while achieving high authentication productivity through cloud-based processing power.
Data Source
AI summary
A system and method for hidden security feature detection, analysis and authentication using a smart device is disclosed. The smart device can detect and analyze hidden security features using the camera capability of the smart device to capture a digital image, and then analyze and authenticate that image using a security service including a database of security feature data, processing rules, and other information. The security service can support a variety of smart devices and security features. The smart device includes a security-specific autofocus function that allows the smart device to be positioned within a range of distances and angles from a target document that includes hidden/covert security feature(s). The smart device can display an enhanced image showing the hidden security feature(s) and/or report if the security feature is valid or invalid, along with related information, via beeps, vibration, display, text messaging, or other reporting capabilities.