Onlooker Detection via Depth Data for Display Security
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Solution Overview
Problem
Existing solutions for invoking a security feature on computing device displays to prevent onlookers from viewing sensitive information rely on manual input and image data, raising privacy concerns and delaying the response time, which can allow onlookers to view sensitive information before the security feature is activated.
Innovation Solution
The implementation of a system that automatically invokes a security feature using depth data from sensors like infrared, RADAR, or LIDAR, which is anonymous and reduces power consumption, eliminating the need for manual input and minimizing privacy concerns by detecting onlookers based on depth data and activating security features such as screen size reduction, blurring, or brightness decrease.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If manual input is used to invoke security features, then user control is maintained, but response time is delayed allowing onlookers to view sensitive information
Solution Approach 1:
The system automatically detects onlookers using depth sensors and triggers security features without requiring manual user input. The computing device serves itself by autonomously monitoring the environment and activating privacy modes when onlookers are detected, eliminating the delay between detection and security activation.
Solution Approach 2:
The depth sensor continuously monitors for onlookers in advance before sensitive information is viewed. By detecting onlookers proactively and automatically initiating security features before any potential data exposure occurs, the system eliminates response delays while maintaining automatic operation.
2Measurement precision
If image data is used to detect onlookers, then detection accuracy is improved, but privacy concerns increase and power consumption rises
Solution Approach 1:
The system replaces image-based optical detection with depth sensing technology (such as time-of-flight or structured light sensors). This substitution maintains detection accuracy by measuring distance and presence of onlookers while consuming less power and avoiding the privacy concerns associated with capturing and processing visual images of people.
Solution Approach 2:
The system changes the detection parameter from visual image data to depth data (distance measurements). By measuring the depth/distance to objects in the environment, the system can accurately detect onlookers without capturing their visual appearance, thereby reducing power consumption and addressing privacy concerns while maintaining detection precision.
3Measurement precision
If image data is used to detect onlookers, then detection capability is improved, but privacy concerns increase due to potential identification
Solution Approach 1:
The system replaces image-based detection with depth sensing technology that measures distance and spatial position without capturing visual information. This substitution maintains the ability to detect onlookers accurately while eliminating the privacy harm associated with capturing and potentially identifying individuals through image data.
Solution Approach 2:
The depth sensor acts as an intermediary that detects the presence and position of onlookers without directly capturing their visual identity. By using depth data as an intermediate measurement, the system can trigger security features based on onlooker presence while avoiding the collection of personally identifiable visual information, thus resolving the privacy concern.
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
This solution effectively and quickly prevents onlookers from viewing sensitive information on computing device displays by automatically activating security features in response to detected onlookers, enhancing privacy and reducing the risk of data exposure.
Implementation Method 1
obtain depth data indicating a presence of the object(s) in the environment using one or more depth sensors of the computing device
Implementation Method 2
depth data obtained via one or more depth sensors (e.g., infrared sensors, radio detection and ranging (RADAR) sensors, light detection and ranging (LIDAR) sensors, ultrasonic sensors, time-of-flight (TOF) sensors, image sensors, etc.)
Data Source
AI summary
Methods and apparatus for invoking a security feature of a computing device display in response to detecting an onlooker based on depth data are disclosed. An example apparatus includes at least one memory, computer-readable instructions, and processor circuitry, The processor circuitry is to execute the computer-readable instructions to automatically invoke an onlooker detection model of a computing device in response to determining that the computing device is located in a public, unsecure environment. The onlooker detection model is to detect an onlooker based on data collected by a sensor associated with the computing device. The processor circuitry is to execute the computer-readable instructions to automatically invoke a security feature of a display of the computing device in response to detection of the onlooker.