Adaptive Thermal Filtering for Presence Detection
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Solution Overview
Problem
Portable electronic devices require frequent unlocking, leading to significant productivity losses due to access delays, as they automatically lock after disuse to conserve battery power.
Innovation Solution
A system that uses thermal sensors to detect user presence and characteristics, employing adaptive filters to distinguish between user states and parameters, allowing proactive execution of tasks to facilitate device access without compromising security or integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the device automatically locks after a certain period of disuse to save battery power, then energy consumption is reduced, but access delay increases and productivity decreases
Solution Approach 1:
The system performs preliminary detection of user presence using thermal sensors before the device needs to be accessed. By detecting thermal signatures in advance, the system can proactively unlock the device or prepare it for use, eliminating the need for manual unlocking and removing access delays before they occur.
Solution Approach 2:
The device uses its own thermal sensor to detect user presence and automatically triggers the unlocking process without requiring external input from the user. The system serves itself by monitoring the environment and autonomously deciding when to unlock, making the device responsive to user needs without manual intervention.
2Speed
If thermal sensors are used to detect user presence, then access speed is improved, but false detection from background thermal noise increases
Solution Approach 1:
The filter dynamically adjusts its parameters based on the detected thermal signal characteristics. When a user is detected, the filter adapts to track the thermal signature, and when no user is present, it returns to a baseline state. This dynamic adaptation allows the system to maintain high detection accuracy across varying thermal conditions and backgrounds.
Solution Approach 2:
The adaptive filter changes its operational parameters (such as bandwidth, gain, and threshold levels) based on the current thermal environment. By adjusting these parameters in real-time, the filter optimizes its ability to distinguish user thermal signatures from background noise, maintaining high detection precision regardless of environmental conditions.
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
Reduces access delays by accurately detecting user presence and adapting to different thermal backgrounds, enabling rapid and secure access to devices, thereby minimizing productivity losses.
Implementation Method 1
A device is constructed and configured in an embodiment to detect a user presence, as well as characteristics of that presence such as speed of movement, proximity and so on
Data Source
AI summary
A system and method for sensing a user presence via thermal signature sensing employs adaptive filtering of a motion spectrum to discern a user presence signature over background thermal noise. In an embodiment, adaptive sub-band filters are applied within the motion spectrum, and a user presence is indicated by the presence of a thermal signature having at least a predetermined magnitude or profile within any searched sub-band. In an embodiment, a low pass filter is applied to search for a stationary presence if the sub-band search procedure does not yield a user thermal signature.


