Smart Lighting Device Human Detection Microphone Mode Switching
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Solution Overview
Problem
Existing smart lighting devices lack wireless communication capabilities and have high energy consumption due to constant microphone operation, leading to false command recognition and limited applications.
Innovation Solution
A smart lighting device with a human detection module that switches the microphone between sleep and monitor modes based on detected presence, allowing for wireless communication and voice recognition only when needed, reducing energy consumption and enhancing functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the microphone operates in monitor mode all the time, then voice commands can be recognized continuously, but energy consumption increases
Solution Approach 1:
The microphone dynamically switches between monitor mode and sleep mode based on human presence detection. When a human is detected by the human detection module, the microphone transitions to monitor mode for voice command recognition. When no human is present, it transitions to sleep mode to conserve energy, resolving the contradiction between continuous availability and energy consumption.
Solution Approach 2:
The system periodically checks for human presence using the human detection module and adjusts the microphone's operational state accordingly. This periodic monitoring and state switching allows the system to maintain voice recognition capability when needed while reducing energy consumption during periods of no activity.
2Reliability
If the microphone operates in monitor mode all the time, then voice commands can be recognized continuously, but false command recognition occurs
Solution Approach 1:
The microphone's operational state is dynamically adjusted based on human presence. By switching to monitor mode only when a human is detected and to sleep mode when no human is present, the system eliminates false command recognition from environmental noises while maintaining continuous voice recognition availability when actually needed.
Solution Approach 2:
The human detection module acts as an intermediary between the environment and the microphone. It filters out irrelevant audio signals by determining whether human presence warrants microphone activation, thereby preventing false command recognition from non-human sources while allowing genuine voice commands to be recognized.
3Adaptability or versatility
If wireless communication capability is added, then device functionality is enhanced, but device complexity increases
Solution Approach 1:
The wireless communication module is merged with existing device components (microphone, human detection module, control module) to form an integrated smart lighting system. This consolidation enhances device functionality for remote control and data transmission while minimizing the increase in overall device complexity through shared hardware and unified control architecture.
Data Source
AI summary
The present disclosure provides a smart lighting device, and a smart lighting control system and method. The smart lighting device includes a human detection module, a control module, and a microphone module. The microphone module has operation modes including a sleep mode and a monitor mode. The human detection module detects whether a human appears in a surrounding area of the smart lighting device in real-time, and sends a detection signal to the control module when a human appearance is detected. The control module receives and sends the detection signal to the microphone module to switch from a sleep mode to a monitor mode. When receiving a control signal from the control module, the microphone module switches to the monitor mode and collects audio signals in the surrounding area of the smart lighting device. The smart lighting device further includes a wireless communication module for wireless communication.