Drop Detection via Acceleration and Edge Deformation Sensing
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Solution Overview
Problem
Users often do not realize their mobile devices have been dropped until it is too late, leading to potential data leakage and loss, due to a lack of immediate notification and the risk of disconnected communication or power loss.
Innovation Solution
An electronic device equipped with a signal processing circuit, acceleration sensor, and edge sensors that automatically generates a drop warning signal by sensing acceleration and deformation variations to determine if a drop event has occurred, allowing for real-time notification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the signal processing circuit operates continuously to detect drop events, then the drop detection reliability is improved, but the power consumption increases
Solution Approach 1:
The acceleration sensor performs preliminary detection of acceleration variations before the signal processing circuit is fully activated. When specific acceleration patterns are detected, the circuit is woken up to perform comprehensive analysis, thus preparing the system in advance without continuous operation
Solution Approach 2:
The system alternates between sleep mode and active detection mode. The acceleration sensor periodically checks for drop events and only activates the power-consuming signal processing circuit when necessary, creating a periodic operation pattern that balances reliability and power consumption
2Reliability
If the user remotely locks or erases data after device loss, then data security is improved, but the response time is delayed
Solution Approach 1:
The system performs preliminary detection of drop events locally using the acceleration sensor and edge sensors before any remote communication is needed. This preliminary action enables the device to identify potential security risks immediately upon occurrence, eliminating the time delay associated with remote detection
Solution Approach 2:
The device autonomously detects and identifies drop events using its built-in sensors without requiring external intervention or remote monitoring. The system serves itself by performing self-diagnosis through acceleration and edge deformation sensing, enabling immediate local response to security threats
3Measurement precision
If multiple sensors are used to detect drop events, then the measurement precision is improved, but the device complexity increases
Solution Approach 1:
The detection system is segmented into two functional parts: acceleration sensing (using acceleration sensor) and deformation sensing (using edge sensors). Each sensor type detects different aspects of the drop event, and their combined information provides comprehensive detection precision without requiring a single complex sensor system
Solution Approach 2:
The patent combines acceleration sensing and edge deformation sensing into a unified detection system. By merging the data from different sensor types, the system achieves high measurement precision for drop event detection while using simple, well-established sensor technologies rather than a single complex sensor
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
Effectively determines drop events and notifies users in real-time, reducing data leakage and loss risks while minimizing power consumption.
Implementation Method 1
The acceleration sensor senses an acceleration variation of the device body to generate an acceleration sensing signal
Implementation Method 2
sensing a deformation variation of the device body by the at least one edge sensor to generate at least one deformation sensing signal
Data Source
AI summary
An electronic device including a signal processing circuit, an acceleration sensor, and an edge sensor is provided. The electronic device has a device body. The signal processing circuit operates in a sleep mode. The acceleration sensor senses an acceleration variation of the device body to generate an acceleration sensing signal. The acceleration sensor determines whether the acceleration sensing signal is continuously lower than an acceleration threshold for a preset length of time to wake up the signal processing circuit. When the acceleration sensor wakes up the signal processing circuit, the signal processor enables the edge sensor. The edge sensor senses a deformation variation of the device body to generate at least one deformation sensing signal. The signal processing circuit analyzes the deformation sensing signal to determine whether a drop event of the device body occurs. In addition, a drop warning method is also provided.