Biometric Control System Using Invisible Light Detection
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Solution Overview
Problem
Current control systems for smart environments, such as smart parking lots, lack efficient biometric-based individualized control methods to manage resources like lighting and vehicle guidance, leading to inefficiencies in energy use and user experience.
Innovation Solution
An individualized control system utilizing a biometric detection module that emits invisible light to detect biometric characteristics like heart rate variability and blood oxygenation, which identifies users and sends ID signals to control hosts to manage illumination, security, and vehicle guidance systems, optimizing resource allocation and user-specific control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If biometric detection is implemented to identify users individually, then user-specific control and resource allocation improve, but system complexity and detection difficulty increase
Solution Approach 1:
The system segments the control functionality by creating separate modules: a biometric detection module that captures physiological signals, a processing module that analyzes the signals to extract user identifiers, and a control module that executes individualized actions. This modular segmentation reduces overall system complexity while enabling sophisticated individualized control.
Solution Approach 2:
The patent introduces an intermediary processing layer between the biometric sensor and the control system. This intermediary module converts complex biometric signals into simplified user identification codes, making the system easier to manage while maintaining the capability for individualized control.
2Measurement precision
If invisible light sources are used to detect biometric characteristics, then detection accuracy improves, but energy consumption increases
Solution Approach 1:
The invisible light source operates in periodic pulses rather than continuous emission. The light is activated only during biometric detection moments and remains inactive otherwise, significantly reducing energy consumption while maintaining detection accuracy when needed.
Solution Approach 2:
The system uses low-power invisible light sources that are optimized for brief detection intervals rather than continuous operation. These cost-effective, short-duration light emissions provide sufficient detection accuracy without the energy burden of persistent illumination.
3Ease of operation
If illumination lights are activated for all parking spaces, then user convenience improves, but energy waste increases
Solution Approach 1:
The system activates illumination lights only in the specific local area where a recognized user is present, rather than illuminating all parking spaces uniformly. This localized approach maintains user convenience for authorized individuals while eliminating energy waste in unused areas.
Solution Approach 2:
The parking lot system automatically provides illumination services only to recognized users without manual intervention. The system self-regulates by detecting user presence through biometrics and selectively activating lights, combining user convenience with energy efficiency autonomously.
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
The system effectively reduces energy consumption by selectively turning on resources only for authorized users, enhancing user experience through personalized control and efficient energy management.
Implementation Method 1
The light source is electrically coupled to the substrate and configured to emit invisible light to illuminate a skin surface
Implementation Method 2
detects an intensity variation of the penetrating light based on the feature that the oxyhemoglobin and the deoxyhemoglobin have different absorptivities in particular spectrum
Implementation Method 3
After the intensity variations, e.g. photoplethysmographic signals or PPG signals, of the penetrating light of the two wavelengths are detected, the blood oxygenation can then be calculated
Data Source
AI summary
A control system including a detection device and a control host is provided. The detection device is configured to detect a biometric characteristic to accordingly identify a user ID, and output an ID signal according to the user ID. The control host is configured to receive the ID signal to accordingly perform an individualized control associated with the user ID.