Camera Launch Intent Detection for Unintended Photo Capture
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Solution Overview
Problem
Unintentional camera activations on user devices lead to privacy concerns and battery drain due to unintended application launches, particularly when devices are in confined spaces or subjected to accidental interactions.
Innovation Solution
Implementing a system that uses sensors like proximity, gyro, and accelerometer to detect unintentional launches, followed by mitigation actions such as dimming the display and closing the application if no user interaction is detected within a predetermined period.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the camera application is easily accessible and responsive to user input, then the ease of operation is improved, but unintentional activations occur leading to privacy concerns and battery drain
Solution Approach 1:
The system performs preliminary detection of user intent before allowing camera activation. Sensors detect device orientation, motion patterns, and proximity conditions in advance to determine whether a camera button press is intentional. If the device is in a pocket or not being held properly, the camera application is prevented from launching, thus avoiding unintentional activations while maintaining ease of operation for legitimate uses.
Solution Approach 2:
The system implements feedback mechanisms where sensor data (accelerometer, gyroscope, proximity sensor) continuously monitors device state and user interaction patterns. This feedback loop allows the system to distinguish between intentional camera activation (when device is properly held) and unintentional activation (when device is in pocket or subjected to accidental pressure), dynamically adjusting camera launch behavior based on real-time feedback.
2Productivity
If the camera application launches quickly without verification, then the productivity is improved, but battery consumption increases due to unintended captures
Solution Approach 1:
The system performs preliminary verification of user intent using sensors before launching the camera application. This preliminary check ensures that only intentional activations proceed to full camera launch, preventing battery drain from unintended captures while maintaining quick response times for legitimate camera uses.
Solution Approach 2:
The system implements a two-stage activation process: a partial verification stage using sensors to check user intent, followed by a full camera launch only if verification succeeds. This partial action approach filters out unintentional activations early, saving battery energy by avoiding unnecessary camera operations while preserving productivity for intentional uses.
3Reliability
If sensor-based detection systems are implemented to prevent unintentional launches, then reliability is improved, but device complexity increases
Solution Approach 1:
The system leverages existing multi-functional sensors (accelerometer, gyroscope, proximity sensor) that serve multiple purposes in the device. These sensors are already used for various functions such as screen rotation, wake-on-raise, and proximity detection during calls. By reusing these existing sensors for camera intent detection, the system improves reliability without adding significant complexity, as the sensors and their basic processing infrastructure already exist.
Solution Approach 2:
The system merges camera launch verification with existing sensor processing pipelines and operating system event handling mechanisms. Rather than creating a separate complex detection system, the invention integrates camera intent detection into the existing sensor data processing and application launch management infrastructure, reducing overall system complexity while maintaining high detection accuracy.
Data Source
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AI summary
In some embodiments, a method for detecting if an application was initiated due to an inadvertent interaction on a user device is disclosed. The method includes analyzing signals from one or more sensors of a user device to identify any obstructions nearby. By examining the media streams, the device can derive metrics indicating whether the cameras are obstructed. The metrics combined with sensor data, can suggest that the launch was due to an unintentional interaction, causing the initiation of a first mitigation operation. This first mitigation operation involves lowering the device's power state and dimming its display. Following the initiation of the first mitigation operation, the user interface is monitored to identify interactions reflecting an intent to launch the application. If a predetermined period elapses without such interactions, confirmation of the inadvertent application launch is made, prompting the execution of a second mitigation operation.