Camera Authentication Feedback for Distance Alignment
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Solution Overview
Problem
The process of unlocking a computer can be cumbersome and time-consuming, especially for frequent users, as it often requires entering passwords or using other authentication methods.
Innovation Solution
A system that uses a camera to capture images of a user within a defined interaction zone, providing audio, visual, or haptic feedback to ensure the user is within the correct distance range for feature recognition, allowing for quick authentication without manual input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the camera continuously captures images for authentication, then authentication reliability is improved, but energy consumption increases
Solution Approach 1:
The camera operates in periodic intervals rather than continuously. It captures images only when triggered by proximity detection or user interaction, switching between active capture modes and low-power states. This periodic operation maintains authentication reliability by capturing images at appropriate moments while significantly reducing overall energy consumption.
Solution Approach 2:
The system uses the device's existing proximity sensors and processors to detect user presence and manage authentication state, allowing the camera to remain inactive until needed. The system self-manages the authentication workflow by automatically triggering image capture only when a user is detected in proximity, eliminating the need for continuous camera operation.
2Measurement precision
If the camera captures high-resolution images for accurate feature identification, then authentication accuracy is improved, but processing time increases
Solution Approach 1:
The system captures images at appropriate resolution levels based on the specific authentication context. Rather than always using maximum resolution, it adjusts image quality parameters to provide sufficient detail for feature identification while reducing unnecessary data processing. This partial action approach maintains adequate authentication accuracy while minimizing processing time.
Solution Approach 2:
The system performs preliminary proximity detection and user presence verification before initiating full image capture and processing. By pre-screening for authentication conditions using lower-power sensors, it prepares the authentication pipeline in advance, so that when image capture is triggered, the processing can proceed efficiently without delays from initial detection phases.
3Ease of operation
If the system provides multiple types of feedback (audio, visual, haptic) to guide user positioning, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The feedback system uses existing multi-functional components of the device. The display screen serves both as a visual feedback mechanism and as the primary user interface. The speaker system provides audio guidance while also serving communication functions. The vibration motor delivers haptic feedback while enabling notification capabilities. This multi-functionality approach provides comprehensive feedback without adding dedicated complexity for each feedback type.
Solution Approach 2:
The system implements a feedback loop that monitors user positioning through camera and sensor data, then provides real-time guidance through multiple channels. The feedback mechanism dynamically adjusts based on user response, offering visual, audio, or haptic cues as needed. This adaptive feedback approach improves ease of operation by guiding users effectively while managing complexity through intelligent selection of feedback modalities rather than always activating all channels.
Data Source
AI summary
A user is authenticated based on user features that can be captured by a camera, such as facial features or eye features. In order for the user to be authenticated, an image is captured of the user while the user is within an interaction zone, which is an area that is within both a field of view of the camera and a suitable distance range from the camera. If the user is not within the suitable distance range from the camera, then feedback is provided indicating that the user is not within the suitable distance range from the camera. Various feedback can be provided, such as one or a combination of audio, visual, and haptic feedback. The feedback notifies the user that an adjustment is to be made to the location of the user and/or the camera in order for the user to be within the interaction zone.