Dynamic Scene Detection Interval Adjustment for Wireless Devices
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Solution Overview
Problem
Current scene detection methods in wireless communication devices, such as smartphones and tablets, consume excessive power due to fixed interval detection, which affects battery longevity and is inflexible.
Innovation Solution
Implementing a method that uses environmental measurement sensors like accelerometers, magnetometers, and audio sensors to adjust the instants of scene detection based on measurement values, employing a temporal adjustment mechanism and meta classification algorithms to optimize power usage by varying the interval between detection instances according to movement and environmental changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If scene detection is performed at fixed intervals, then real-time scene detection capability is provided, but power consumption increases and battery longevity is reduced
Solution Approach 1:
The patent implements dynamic adjustment of detection intervals based on movement detection. The system transitions from fixed-interval detection to variable-interval detection where the interval length is dynamically adapted according to the device's movement state, using acceleration sensor data to determine when real-time detection is actually needed versus when reduced detection frequency is sufficient
Solution Approach 2:
The system changes the temporal parameter (detection interval) based on environmental conditions detected by sensors. By monitoring acceleration values and comparing them against thresholds, the system adjusts the detection interval parameter to optimize between real-time detection capability and power consumption, selecting shorter intervals during movement and longer intervals during stationary states
2Measurement precision
If GPS application is used for real-time location detection, then real-time scene detection is achieved, but power consumption increases
Solution Approach 1:
The patent introduces acceleration sensors as an intermediary mechanism between GPS and scene detection. Instead of using GPS continuously for scene detection, the system uses acceleration sensors to monitor movement and only triggers GPS-based or full scene detection when movement is detected, thereby reducing overall power consumption while maintaining real-time detection capability when needed
Solution Approach 2:
The system extracts the movement detection function from the main scene detection process by using dedicated acceleration sensors. This allows the system to separate continuous low-power movement monitoring from intermittent higher-power scene detection, enabling intelligent triggering of resource-intensive detection operations only when necessary
3Measurement precision
If detection interval is reduced for better real-time performance, then scene detection accuracy improves, but power consumption increases
Solution Approach 1:
The system dynamically adjusts the detection interval based on real-time movement conditions. During movement phases, the detection interval is reduced to maintain high scene detection accuracy. During stationary phases, the interval is extended to reduce power consumption. This dynamic adaptation resolves the contradiction by making detection precision variable rather than fixed
4Device complexity
If fixed interval detection is used, then system simplicity is maintained, but flexibility is reduced
Solution Approach 1:
The patent implements a dynamic detection system where the interval parameter is automatically adjusted based on movement detection. This adds adaptability without significantly increasing system complexity, as the adjustment logic relies on comparing acceleration sensor readings against predefined thresholds. The system maintains simplicity through rule-based decision making while achieving flexibility through conditional interval modification
Data Source
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AI summary
The method of controlling the real-time detection of a scene by a wireless communication device equipped with at least one environmental measurement sensor, includes a temporal adjustment (26) of the activation times (21) of said detection from measurement values (23) delivered by said at least one environmental measurement sensor (CPT1-CPT5) at measurement times (22).