Fingerprint Sensor Interrupt Threshold Dynamic Adjustment
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Solution Overview
Problem
Existing fingerprint recognition technologies face challenges in setting a proper interrupt threshold for fingerprint sensors, as user-specific signal variations, hardware inconsistencies, and changing environmental conditions lead to erroneous interrupt triggers or failure to detect fingerprints accurately.
Innovation Solution
A method to dynamically set an interrupt threshold by collecting real-time background noise from the fingerprint sensor's wakeup region, adding a safety margin, and determining an optimal threshold based on a preset safety value to adapt to varying conditions, ensuring accurate and efficient fingerprint recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If an interrupt threshold is manually adjusted in advance during production, then the fingerprint sensor can operate with a predetermined safety value, but the system cannot adapt to user-specific signal variations, hardware inconsistencies, and changing environmental conditions, leading to erroneous triggers or failed detections
Solution Approach 1:
The patent implements dynamic threshold adjustment by continuously monitoring the electrical signals from the wakeup region and automatically adapting the interrupt threshold based on real-time environmental conditions and user-specific characteristics. This replaces the static manually-adjusted threshold with a dynamic system that self-optimizes during operation, resolving the contradiction between ease of manufacture and adaptability
Solution Approach 2:
The fingerprint sensor system performs self-calibration by automatically analyzing the electrical signal characteristics and adjusting its own interrupt threshold without requiring manual intervention. The system serves itself by detecting environmental changes and user variations, then autonomously optimizing its detection parameters, thereby eliminating the need for manual adjustment while maintaining high adaptability
2Productivity
If the interrupt threshold is set too low to ensure frequent interrupt triggering, then the fingerprint sensor can detect fingerprints quickly, but false triggers occur due to background noise and environmental variations
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors the electrical signals from the wakeup region, compares them against dynamically adjusted thresholds, and uses the results to further refine the threshold settings. This closed-loop feedback system allows the sensor to maintain high productivity by quickly detecting genuine fingerprints while filtering out false triggers through continuous adaptation to background noise patterns
Solution Approach 2:
The system dynamically changes the interrupt threshold parameter based on real-time analysis of electrical signal characteristics, background noise levels, and environmental conditions. By adjusting this critical parameter adaptively rather than keeping it fixed, the system achieves both high productivity (quick detection) and high reliability (fewer false triggers) across varying operating conditions
3Reliability
If the interrupt threshold is set too high to prevent false triggers, then the fingerprint sensor can reduce erroneous interrupt triggers, but genuine fingerprint detections may be missed due to signal variations among different users
Solution Approach 1:
The patent employs dynamic threshold adjustment that adapts to individual users by analyzing their specific electrical signal characteristics during initial interactions and continuously refining the threshold settings. This dynamic approach ensures that each user's genuine fingerprint signals are properly detected while maintaining high reliability by filtering out false triggers, regardless of signal strength variations among different users
Solution Approach 2:
The system dynamically modifies the interrupt threshold parameter based on analyzed electrical signal characteristics from different users and environmental conditions. By changing this parameter adaptively rather than using a fixed high threshold, the system maintains both reliability (fewer false triggers) and productivity (detection of genuine fingerprints from all users) across diverse operating scenarios
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
This approach enhances recognition efficiency and accuracy by ensuring the fingerprint sensor correctly triggers interrupts only when a finger is detected, reducing false triggers and adapting to different users and environments.
Implementation Method 1
In an active-mode fingerprint recognition solution, after a finger touches a wakeup region on a fingerprint sensor, the fingerprint sensor generates an interrupt signal
Data Source
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AI summary
The present invention provides a method for setting a fingerprint sensor interrupt threshold, an apparatus, and a terminal device. A provided dynamic interrupt threshold may enable a fingerprint sensor to adapt to different weather conditions and hardware environments, to improve recognition efficiency and recognition accuracy in recognizing fingerprints of different users. The method is: obtaining background noise of a wakeup region on a fingerprint sensor in a terminal device, where the wakeup region is a region for detecting whether the fingerprint sensor is touched; adding a preset safety margin to the background noise, to obtain a first threshold; and determining, according to the first threshold and a preset safety value, an interrupt threshold for the fingerprint sensor to generate an interrupt signal, where the interrupt threshold is used to instruct the fingerprint sensor to generate an interrupt signal, so as to wake up a central processing unit CPU of the terminal device, and the safety value is used to prevent the fingerprint sensor from erroneously triggering an interrupt signal to wake up the CPU.