Biometric Lighting Control via Iris Recognition
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Solution Overview
Problem
Modern lighting systems are often controlled from a central point, making individualized lighting adjustments cumbersome and inefficient, leading to increased power consumption and neglect of psychological factors affecting employee well-being, such as color temperature and emotional response.
Innovation Solution
A biometric sensor system that identifies individuals via fingerprint or iris detection, allowing for personalized control of lighting parameters like color temperature, brightness, and scene settings, enabling intuitive and secure operation of lighting systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If centralized control is used to manage multiple luminaires, then system control capability is improved, but ease of operation deteriorates due to complex navigation through submenus and network address determination
Solution Approach 1:
The system enables self-service operation where the lighting system automatically identifies and configures itself based on the user's location and identity. The control unit receives signals from portable terminals to automatically determine which luminaires to control, eliminating the need for manual navigation through submenus and network address determination.
2Device complexity
If standardized lighting settings are used, then system simplicity is improved, but adaptability to individual needs deteriorates
Solution Approach 1:
The system stores multiple individualized lighting profiles in advance for different users. When a user accesses the system, their pre-stored profile is automatically loaded, providing personalized lighting settings without requiring complex real-time adjustments. This preliminary preparation enables both simplicity and adaptability.
Solution Approach 2:
The system automatically changes lighting parameters such as brightness, color temperature, and dimming profiles based on the identified user. Different users have different stored parameter sets that are automatically applied, enabling adaptability while maintaining simple operation through automatic parameter selection.
3Ease of operation
If acoustic sensors are used for lighting control, then ease of operation is improved, but reliability deteriorates due to false detections in noisy environments
Solution Approach 1:
The system uses portable terminals (smartphones, tablets) as intermediaries between the user and the lighting system. These terminals communicate wirelessly with the control unit, providing reliable and accurate control signals without being affected by acoustic interference or false detections in noisy office environments.
4Adaptability or versatility
If multiple sensors are added to enable personalized control, then adaptability is improved, but device complexity increases
Solution Approach 1:
The system uses universal portable terminals that users already possess (smartphones, tablets) to provide personalized control. These multi-functional devices serve as both identification tools and control interfaces, eliminating the need for specialized sensors while maintaining adaptability through user-specific profiles and wireless communication.
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
Simplifies lighting control, enhances user experience, reduces energy consumption, and allows for tailored lighting settings based on individual preferences, improving employee satisfaction and work environment.
Implementation Method 1
The biometric sensor (2) is configured to identify a person by means of fingerprint recognition
Implementation Method 2
The biometric sensor (2) is configured to identify a person by means of iris recognition
Data Source
Figure 1
Figure 2
Figure 3~4
AI summary
The invention relates to a system (1) consisting of a biometric sensor (2) and a lighting system (3) with at least one light (4), wherein the biometric sensor (2) is configured to identify a person (6) by means of fingerprint recognition (23) and/or facial recognition, preferably iris recognition (24). The biometric sensor (2) is configured to transmit the result of the identification to the lighting system (3) via a wired or wireless connection (5). The lighting system (3) is configured to set at least one personal operating parameter of the lighting system (3) and/or to activate an administration mode of the lighting system (3), depending on the identified person (6).