Discovery and Monitoring Modes for Adaptive 3D Reconstruction
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Solution Overview
Problem
Scanning a physical environment for 3D reconstruction is computationally expensive and often results in redundant scans, leading to wastage of resources due to the high frequency of scanning previously reconstructed areas.
Innovation Solution
A method that toggles between discovery and monitoring modes for 3D reconstruction based on detecting changes in the environment or system constraints, adjusting resource usage accordingly to optimize performance and conserve power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-frequency scanning is performed for accurate 3D reconstruction, then manufacturing precision is improved, but use of energy increases and loss of energy worsens
Solution Approach 1:
The system dynamically adjusts the scanning frequency based on detected motion in the physical environment. When motion is detected, the system switches to a first operating mode with higher scanning frequency to capture accurate 3D representations. When no motion is detected, it transitions to a second operating mode with lower scanning frequency, thereby adapting the energy consumption and processing load to the actual environmental conditions while maintaining reconstruction accuracy when needed.
Solution Approach 2:
The system changes the operating parameters of the 3D reconstruction process by switching between different operating modes. The first operating mode uses higher scanning frequency and more computational resources, while the second operating mode uses lower scanning frequency and fewer resources. This parameter change allows the system to optimize the balance between reconstruction accuracy and energy consumption based on real-time environmental assessment.
2Productivity
If high-frequency scanning is performed continuously, then productivity is improved, but loss of time increases due to redundant processing
Solution Approach 1:
The system incorporates feedback mechanisms by continuously monitoring the physical environment for changes and using this information to adjust scanning operations. The system detects whether the environment has changed since the last scan and uses this feedback to determine whether to perform another high-frequency scan or switch to a lower-frequency mode, thereby eliminating redundant processing of unchanged areas while maintaining productivity for dynamic scenes.
Solution Approach 2:
The scanning frequency is made dynamic rather than static, allowing the system to switch between high-frequency and low-frequency modes based on environmental conditions. This dynamic adjustment ensures that high productivity is maintained only when necessary (when changes are detected), while avoiding time waste on redundant scans of static environments.
3Manufacturing precision
If first operating mode is used continuously for accurate reconstruction, then manufacturing precision is maintained, but use of energy increases
Solution Approach 1:
The system implements periodic assessment of the physical environment to determine whether high-frequency scanning is necessary. Instead of continuously operating in the first operating mode, the system periodically evaluates environmental changes and only activates the energy-intensive high-precision mode when changes are detected, thereby maintaining reconstruction accuracy when needed while reducing overall power consumption during static periods.
Solution Approach 2:
The system changes the operational parameters by switching between two distinct operating modes. The first operating mode provides high-precision reconstruction with higher energy consumption, while the second operating mode provides lower-precision or monitoring-level operation with reduced energy consumption. By dynamically changing between these parameter sets based on environmental conditions, the system maintains precision when necessary while minimizing energy loss during stable conditions.
Data Source
AI summary
Various implementations disclosed herein include devices, systems, and methods that adjusts operating modes for generating three-dimensional (3D) representations of a physical environment. For example, an example process may include acquiring sensor data by the one or more sensors in a physical environment and operating the device according to a first operating mode and a second operating mode during different periods of time. In the first operating mode (e.g., discovery mode), the device generates a 3D representation of the physical environment based on the sensor data and the device monitors one or more conditions to switch to the second operating mode. In the second operating mode (e.g., monitoring mode), the device monitors the one or more conditions to switch to the first operating mode and generates the 3D representation differently than the first operating mode.