Nighttime Lighting Control Using Image Processing for Age-Specific Safety
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Solution Overview
Problem
Existing nighttime lighting control systems fail to accurately determine the age and position of individuals, leading to inefficient lighting and potential safety hazards, especially for elderly and children, as they often struggle to turn on lights in the dark and may experience sudden strong lighting that disrupts sleep and physiological functions.
Innovation Solution
A system utilizing image processing technology to determine age groups and sleeping states by analyzing posture and position information, controlling lighting fixtures intelligently, and providing on-demand lighting while monitoring for safety hazards and alerting family members if necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If infrared sensors are used to identify persons for nighttime lighting control, then automatic lighting control is achieved, but identification accuracy deteriorates leading to wrong decisions (e.g., turning on lamps for pets)
Solution Approach 1:
The patent replaces infrared sensor-based automatic control with image processing technology. The system uses camera images to detect persons, determine age groups, and identify sleeping states, thereby eliminating false triggers from pets while maintaining automation. This substitution of detection mechanism resolves the accuracy issue inherent in infrared sensing.
Solution Approach 2:
The patent introduces an intermediary processing layer between detection and control. Image processing technology serves as the intermediary that analyzes visual data to determine age groups and sleeping states before triggering lighting control. This intermediary step filters out false positives and ensures accurate person identification.
2Illumination intensity
If lamps are turned on with strong lighting during nighttime urination, then visibility is improved, but physiological functions deteriorate due to light pressure on the body
Solution Approach 1:
The patent applies local quality by providing different lighting intensities for different age groups. Children receive higher illumination (50-100 lux) while adults and elderly receive lower illumination (10-50 lux). This localized differentiation of lighting quality matches the specific needs of different populations, reducing light pressure on adults and elderly while ensuring adequate visibility for children.
Solution Approach 2:
The patent changes the lighting parameter (intensity) based on age group classification. By detecting the age group through image processing and adjusting the lighting intensity accordingly, the system optimizes visibility while minimizing harmful light effects. This parameter adjustment resolves the contradiction between visibility and physiological impact.
3Reliability
If lighting is provided during nighttime urination, then safety is improved, but energy consumption increases
Solution Approach 1:
The patent performs preliminary detection of sleeping state through image processing before activating lighting. By pre-determining whether a person is actually sleeping or attempting to urinate, the system avoids unnecessary lighting activation. This preliminary action filters out false needs and reduces energy consumption while maintaining safety for genuine nighttime urination events.
Solution Approach 2:
The patent implements feedback through continuous monitoring of sleeping state and age group classification. The system uses image processing to continuously assess the situation and adjusts lighting accordingly. This feedback mechanism ensures lighting is only provided when truly needed, optimizing the balance between safety and energy consumption.
4Measurement precision
If image processing technology is used to determine age groups and sleeping states, then lighting control accuracy is improved, but device complexity increases
Solution Approach 1:
The patent makes the image processing system multi-functional by using a single camera-based system to simultaneously detect persons, determine age groups, identify sleeping states, and trigger appropriate lighting responses. This universal approach consolidates multiple functions into one system, avoiding the need for separate sensors and processing units for each function, thereby managing complexity while improving accuracy.
Data Source
AI summary
A system and method for nighttime lighting control and danger monitoring and alarming are provided. The system includes a data acquisition system, an information processing system, and a terminal control system. The data acquisition system is configured to acquire video information in a room and a voice content of a person in the room, and transmit the video information and the voice content to the information processing system; the information processing system is configured to obtain voice command information based on the voice content and age information and safety state information of the person based on the video information, and transmit the voice command information, the age information and the safety state information to the terminal control system; and the terminal control system is configured to control a terminal lighting fixture, and perform capturing of an image of the person and perform voice alarming according to the safety state information.


