Modular Wireless Capture for Synchronized RGB-Depth-IR 4D Data
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Solution Overview
Problem
Current AI models lack physical intelligence for interacting with environments and require expensive, bulky, and hard-to-calibrate multi-camera systems for capturing diverse physical interactions, which are not easily available for learning.
Innovation Solution
A modular, wireless multi-camera platform for capturing 4D data using RGB, depth, and IR cameras with precise synchronization, enabling efficient and adaptable capture of human interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional multi-camera systems are used to capture 4D data, then measurement precision and coverage are improved, but device complexity and cost increase significantly
Solution Approach 1:
The system divides the capture function into separate modules: RGB cameras for visual data, depth cameras for spatial information, and IR cameras for thermal data. Each camera type captures specific dimensions of the 4D data, allowing precise measurement without requiring a single complex system. The modular architecture reduces overall system complexity while maintaining comprehensive capture capabilities.
Solution Approach 2:
The patent employs a universal capture platform where multiple camera types (RGB, depth, IR) work together to serve various capture requirements. This multi-functional system can adapt to different measurement precision needs by selectively activating appropriate camera types, reducing the complexity of any single configuration while maintaining high measurement precision when needed.
2Measurement precision
If more cameras are positioned around the capture area to ensure complete coverage, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
Instead of uniformly distributing all camera types throughout the capture area, the system places specific camera types at specific locations based on local requirements. RGB cameras are positioned for visual coverage, depth cameras where spatial information is critical, and IR cameras for thermal detection. This localized optimization achieves complete coverage with appropriate precision without the complexity of uniform multi-camera deployment.
Solution Approach 2:
The patent adds a temporal dimension to the spatial camera arrangement by synchronizing multiple camera captures across time. This allows the system to achieve complete 4D coverage using fewer simultaneous camera positions, as temporal multiplexing compensates for spatial limitations, reducing overall system complexity while maintaining measurement precision.
3Measurement precision
If cameras are synchronized to capture frames at the same time for accurate reconstruction, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system employs feedback mechanisms where each camera continuously reports its capture timestamp and synchronization status to a central controller. The controller adjusts capture timing in real-time to maintain synchronization across all camera types, ensuring accurate motion reconstruction while managing the complexity through automated feedback control rather than manual coordination.
Solution Approach 2:
Each camera module includes self-synchronization capabilities with onboard clocks and timing circuits that automatically align capture events. The cameras perform self-adjustment based on their relative positions and capture requirements, reducing the central controller's synchronization burden and overall system complexity while maintaining precise temporal coordination for accurate 4D reconstruction.
Data Source
AI summary
A system for capturing 4D data comprises multiple sensor modules, each with a housing, a computer-based controller with non-transitory memory media, various sensors including an RGB camera, a depth camera, an IR camera, and a microphone, a transceiver for wireless communication, and a clock module for precise synchronization to within approximately 10 microseconds.