Multi-Camera XR Tracking with Dynamic Low-Power Switching
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Solution Overview
Problem
XR devices with multi-camera object tracking systems face significant power consumption issues due to increased computational demands, which can degrade battery life and processing resources.
Innovation Solution
Implement a dynamic switching function that selectively activates a subset of cameras based on object tracking data, using a low-power mode to balance power consumption and performance by dynamically adjusting camera usage during detection and tracking phases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of cameras used in the multi-camera object tracking system is increased, then tracking performance is improved, but power consumption significantly increases
Solution Approach 1:
The patent divides the multi-camera system into multiple independent camera modules that can be selectively activated. Instead of running all cameras continuously, the system segments camera usage into discrete controllable units, allowing dynamic selection of subsets of cameras based on current tracking needs and power availability.
Solution Approach 2:
The patent implements dynamic camera selection where the subset of active cameras changes based on real-time conditions. The system dynamically adjusts which cameras are active during detection and tracking phases, optimizing the balance between tracking performance and power consumption adaptively rather than using a fixed configuration.
2Measurement precision
If the sampling rate of cameras is increased, then tracking accuracy is improved, but power consumption significantly increases
Solution Approach 1:
The patent applies partial action by using only the necessary subset of cameras at any given time rather than all cameras continuously. The system determines the minimum sufficient sampling rate and camera subset needed to maintain tracking accuracy, avoiding excessive camera operation that would consume unnecessary power.
Solution Approach 2:
The patent implements periodic switching between different camera subsets during operation. The system alternates between different phases (detection phase with higher sampling, tracking phase with lower sampling) and switches between different camera subsets periodically, reducing overall power consumption while maintaining adequate tracking accuracy through timed high-performance intervals.
3Reliability
If all cameras are continuously activated for object detection and tracking, then tracking reliability is improved, but battery life is reduced
Solution Approach 1:
The patent extracts and removes unnecessary cameras from the active set during operation. Instead of continuously activating all cameras, the system identifies and excludes cameras that are not needed for current tracking tasks, reducing power consumption while maintaining sufficient tracking reliability through selective camera usage.
Solution Approach 2:
The patent discards (deactivates) cameras during low-power phases and recovers (reactivates) them when tracking reliability needs to be enhanced. The system cycles between different camera subsets, discarding unused cameras to save power and recovering them when detection or tracking performance requires additional camera input.
Data Source
AI summary
Examples describe a method performed by an extended reality (XR) device that implements a multi-camera object tracking system. The XR device accesses object tracking data associated with an object in a real-world environment. Based on the object tracking data, the XR device activates a low-power mode of the multi-camera object tracking system. In the low-power mode, a state of the object in the real-world environment is determined by using the multi-camera object tracking system.