Camera Presence Detection Parameter Shifts for Low-Power Wake
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Camera-based presence detection systems in user devices consume excessive power and have reduced reliability in certain contexts, such as low-light environments or obstructions, leading to inefficiencies and increased power consumption.
Innovation Solution
Modify the operating parameters of camera-based presence detection systems based on contextual information, such as ambient light, noise, proximity, and obstruction, to reduce power consumption without compromising user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the camera-based presence detection system operates continuously to improve response time, then the device readiness is improved, but power consumption increases
Solution Approach 1:
The system dynamically adjusts the camera's operating state based on contextual conditions. The camera operates at full performance when contextual indicators suggest user presence, and transitions to reduced operation or sleep mode when context indicates absence, allowing response time to be optimized only when necessary while reducing overall power consumption.
Solution Approach 2:
The system changes operational parameters of the camera based on contextual information such as ambient light levels, device orientation, and usage patterns. By adjusting parameters like shutter speed, gain, frame rate, or activation thresholds according to environmental context, the system maintains adequate detection performance while minimizing energy consumption in suboptimal detection conditions.
2Reliability
If the camera-based presence detection system operates in all contexts, then detection coverage is improved, but reliability decreases in low-light or obstructed environments
Solution Approach 1:
The system applies different operational qualities to the camera based on local environmental conditions. When ambient light, obstruction levels, or contextual factors indicate suboptimal detection conditions, the system modifies local operational parameters or activates alternative detection modes, ensuring reliable performance is maintained specifically in the contexts where it matters most rather than forcing uniform operation across all environments.
Solution Approach 2:
The system introduces contextual information processing as an intermediary layer between the camera hardware and the presence detection logic. This intermediary analyzes environmental factors (light levels, obstructions, device state) and mediates the camera's operation accordingly, selecting appropriate operational modes or alternative detection strategies to maintain reliability across varying environmental conditions.
3Measurement precision
If the camera operates at high sensitivity to improve detection accuracy, then presence detection precision is improved, but false detections increase in inappropriate contexts
Solution Approach 1:
The system dynamically changes detection sensitivity parameters based on contextual information. When context indicates a high likelihood of genuine user presence (appropriate timing, device state, environmental conditions), the camera operates at high sensitivity for accurate detection. When context suggests low likelihood of presence, the system reduces sensitivity or raises detection thresholds, preventing false detections while maintaining precision when needed.
Data Source
AI summary
Systems and methods are described for reducing the power consumption of a camera-based presence detection system of a user device. The camera-based presence detection system is used to transition the user device from a low-power mode to another power mode when the presence of a user is detected. To reduce the power consumption of the camera-based presence detection system, an operating parameter of the camera-based presence detection system may be modified based on contextual information received while the user device is in the low-power mode. For example, an operating parameter of the camera-based presence detection system is modified when the contextual information indicates that there is a reduced reliability or utility of the camera-based presence detection system.