Gesture Lighting Control via Proximity and Temperature Sensors
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Solution Overview
Problem
Current dimming or color temperature adjusting technologies for lighting systems are complex and costly, failing to effectively meet market demands for simplicity and affordability.
Innovation Solution
A lighting system utilizing a gesture recognition mechanism with proximity sensors and a processing module to adjust light characteristics, such as brightness or color temperature, without the need for applications or image processing technologies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If gesture recognition is implemented using applications or image processing technologies, then gesture control functionality is achieved, but system complexity and cost increase
Solution Approach 1:
The patent replaces complex software-based gesture recognition (applications or image processing) with a simplified sensor-based detection system using proximity sensors and temperature sensors. This substitution of the recognition mechanism reduces computational requirements and system complexity while maintaining gesture control functionality.
Solution Approach 2:
The patent uses inexpensive proximity sensors and temperature sensors instead of expensive image processing cameras or complex application software. These simple sensors provide sufficient gesture detection capability at a lower cost and with reduced system complexity.
2Adaptability or versatility
If gesture recognition is implemented using applications or image processing technologies, then gesture control functionality is achieved, but device cost increases
Solution Approach 1:
The patent employs low-cost proximity sensors and temperature sensors rather than expensive image processing hardware or software licenses. This approach achieves gesture control functionality while significantly reducing device manufacturing cost.
Solution Approach 2:
The patent substitutes expensive software-based gesture recognition systems with simpler, cheaper sensor-based detection, reducing both hardware and software costs while maintaining the essential gesture control capability.
3Speed
If proximity sensors are used without temperature verification, then gesture detection speed is improved, but detection precision decreases due to false triggering
Solution Approach 1:
The patent uses temperature sensor feedback to verify proximity sensor detections. The temperature sensor detects human body heat as confirmation, creating a feedback mechanism that filters false positives while maintaining fast response times through parallel sensor operation.
Solution Approach 2:
The temperature sensor acts as an intermediary verification layer between the proximity sensor detection and the final gesture recognition decision. This intermediate temperature check confirms whether the detected object is a human hand, improving detection precision without significantly slowing the system.
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
This solution simplifies the light characteristic adjusting mechanism, reduces system complexity and costs, enhances detection precision, and allows for flexible and intelligent control, aligning with market requirements and future trends.
Implementation Method 1
a first proximity sensor is disposed at a first position... the first proximity sensor generates a first sensing signal when the hand approaches the first proximity sensor
Implementation Method 2
a second proximity sensor is disposed at a second position... the second proximity sensor generates a second sensing signal when the hand approaches the second proximity sensor
Implementation Method 3
an infrared sensor is further disposed between the first proximity sensor and the second proximity sensor... the infrared sensor generates a temperature sensing signal
Data Source
AI summary
A lighting system based on gesture recognition mechanism includes a first proximity sensor, a second proximity sensor, a processing module and a lighting module. The first proximity sensor generates a first sensing signal. The second proximity sensor generates a second sensing signal. The processing module receives the first sensing signal and the second sensing signal. The processing module generates a gesture recognition result according to the order of receiving the first sensing signal and the second sensing signal. Then, the processing module generates a light adjusting signal according to the gesture recognition result, such that the light adjusting signal is transmitted to the lighting module so as to adjust the light characteristic of the lighting module.


