Camera-Based Illumination Control for Motionless Occupant Detection
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Solution Overview
Problem
Conventional illumination control systems using infrared motion sensors fail to accurately sense motionless individuals and adjust light levels based on their activities, leading to inefficiencies in energy consumption and convenience in large facilities.
Innovation Solution
An illumination control system employing camera units to capture images, analyze position and action information, and a central management server to calculate and control light levels for each area, ensuring optimal lighting based on detected activities and positions, thereby minimizing energy usage while maintaining convenience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If infrared motion sensors are used to detect people for illumination control, then the system can detect moving people, but it cannot sense motionless people such as those doing office work
Solution Approach 1:
The illumination control system integrates multiple detection functions into a single system. The camera unit performs both image capture for visual monitoring and action recognition for motionless person detection, while the illumination control unit adapts to provide appropriate lighting for different scenarios (moving people, motionless people, different times of day). This multi-functional approach resolves the contradiction by making the system versatile enough to detect both moving and motionless people effectively.
Solution Approach 2:
The system dynamically changes detection parameters based on the situation. The action recognition unit analyzes image data to determine whether a person is moving or motionless, and the illumination control unit adjusts lighting parameters (intensity, timing) accordingly. This parameter adaptation allows the system to maintain high detection accuracy for both moving and motionless individuals, resolving the contradiction between precision and coverage.
2Loss of energy
If conventional illumination control systems turn off lights when no motion is detected, then energy consumption is reduced, but the convenience for motionless people doing work is compromised
Solution Approach 1:
The system implements continuous feedback through action recognition that analyzes captured images to determine whether detected persons are moving or motionless. This feedback mechanism allows the illumination control unit to maintain lights on for motionless people engaged in work activities while turning off lights in truly unoccupied areas, thereby reducing energy consumption without compromising convenience for workers.
Solution Approach 2:
The illumination control system dynamically adjusts its behavior based on real-time action recognition results. Rather than using fixed on/off timing, the system continuously adapts lighting levels and timing according to the detected activity state of occupants. This dynamic approach enables energy savings in unoccupied areas while maintaining convenience for motionless workers who are actively engaged in tasks.
3Loss of energy
If LED fixtures are used for illumination control, then the amount of light can be easily adjusted and energy consumption is reduced, but the system requires precise control mechanisms to maximize energy-saving effects
Solution Approach 1:
The system merges multiple control functions into an integrated illumination control unit that combines action recognition processing with LED dimming control. By combining these functions in a single unit rather than separate systems, the patent reduces overall system complexity while maintaining precise control capabilities for maximizing LED energy-saving potential.
4Adaptability or versatility
If action recognition is implemented to analyze detected people's activities, then the amount of light can be controlled according to movement, but the system complexity increases
Solution Approach 1:
The system segments the control function into distinct modular components: an action recognition unit that analyzes image data to determine activity type, and an illumination control unit that adjusts lighting based on recognition results. This segmentation allows each component to be optimized independently, reducing overall system complexity while maintaining high adaptability for different control scenarios.
Data Source
AI summary
According to one embodiment, an illumination control system includes a motion sensor and a central management server. The motion sensor acquires position information and action information of a person. The central management server holds holding position information of an illumination unit and necessary light amount information for action information of the person, acquires a necessary amount of light corresponding to the action information of the person based on the necessary light amount information, calculates a brightness control amount based on the position information of the illumination unit, and controls the illumination unit using the brightness control amount.