Dynamic Device Locking via Sensor-Based User Presence Detection
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Solution Overview
Problem
Computing devices lack effective mechanisms to dynamically adjust security settings based on user presence and context, leading to potential unauthorized access when the user is not actively using the device.
Innovation Solution
A computing device that utilizes sensors such as cameras for facial recognition, touch sensors, and proximity sensors to detect user presence and context, dynamically locking or unlocking access interfaces and functions based on identified users and the type of content being displayed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the device maintains a locked state to protect sensitive information, then security is improved, but user convenience deteriorates when authorized users need access
Solution Approach 1:
The lock status is made dynamic rather than static. The device automatically transitions between locked and unlocked states based on detected user presence. When a user is detected via sensors (camera, touch, proximity), the device unlocks; when no user is present, it locks. This dynamic behavior resolves the contradiction by adapting security levels to contextual needs.
Solution Approach 2:
The system implements feedback loops where sensors continuously monitor user presence and feed this information back to the lock status controller. The camera detects facial features, touch sensors detect contact, and proximity sensors detect presence - all providing real-time feedback that triggers appropriate lock/unlock actions, balancing security with convenience.
2Reliability
If the device requires login authentication for every access, then security is improved, but access time and user efficiency deteriorate
Solution Approach 1:
Authentication is performed preliminarily and automatically through sensor detection before the user even attempts to access the device. The camera captures facial data, touch sensors register contact, and proximity sensors detect presence in advance. This preliminary authentication eliminates the need for time-consuming manual login processes while maintaining security.
Solution Approach 2:
The device performs self-authentication using its built-in sensors without requiring user intervention for login. The system automatically verifies user presence and identity through facial recognition, touch patterns, and proximity detection, then grants or denies access autonomously. This self-service approach dramatically reduces access time while preserving security controls.
3Ease of operation
If the device unlocks automatically when a user is detected, then user convenience is improved, but security against unauthorized access deteriorates
Solution Approach 1:
Different security levels are applied to different access interfaces based on the detected user and context. Sensitive applications and features remain protected even when the device is unlocked, while less sensitive functions become accessible. This localized quality control ensures that convenience is granted where appropriate while security is maintained where needed.
Solution Approach 2:
The system changes the security parameter dynamically based on detected user characteristics. When an authorized user is identified through sensor analysis, the security parameter is adjusted to allow access; when an unauthorized user or no user is detected, the security parameter remains high. This parameter change approach allows the device to adapt its security level to match the contextual situation.
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
Enhances security by ensuring that sensitive information is protected when the user is not actively engaging with the device, while allowing authorized users, such as family members, to access the device without needing to log in, thus balancing security and convenience.
Implementation Method 1
A computing device that utilizes sensors such as cameras for facial recognition
Implementation Method 2
proximity sensors to detect user presence and context
Implementation Method 3
touch sensors, and proximity sensors to detect user presence and context
Data Source
AI summary
Particular embodiments disclose a first device associated with a user that may receive an indication that a second device of a second user of the online system is located within a proximity distance from the first device. The first device may store social-networking information associated with the first user comprising a social-networking connection between the first user and the second user. The first device may access the social-networking information and determine that the second device is a trusted device based on the social-networking connection between the first user and the second user. The first device may determine instructions to update a lock status of the first device based on the determination that the second device is a trusted device.