3D Mapping System for Real-Time Component Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current augmented reality systems lack the ability to efficiently generate and update dynamic surveys of components in real-time, especially in complex environments like construction sites, where multiple workers need to collaborate and ensure compliance with reference data and architectural specifications.
Innovation Solution
A system utilizing wearable devices with cameras and sensors to capture video feeds, location, and orientation data, which generates a three-dimensional model of physical objects and updates the dynamic status of component manipulations, enabling real-time inventory tracking, compliance monitoring, and communication between devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple wearable devices are used to capture data from different locations, then the completeness and accuracy of the three-dimensional model improves, but the system complexity and data processing requirements increase
Solution Approach 1:
The patent combines data from multiple wearable devices into a unified three-dimensional model reconstruction process. The survey server aggregates video feeds, location data, and orientation information from multiple devices, merging them into a single coherent model that benefits from the combined perspectives while managing complexity through centralized processing.
Solution Approach 2:
The survey server acts as an intermediary that receives and processes data from multiple wearable devices. It coordinates the data collection, performs the three-dimensional model reconstruction, and manages the complexity of handling multiple data streams, thereby improving model accuracy without proportionally increasing overall system complexity.
2Speed
If real-time processing of video feeds and location data is implemented, then the responsiveness and dynamic update capability improve, but the computational load and energy consumption increase
Solution Approach 1:
The patent extracts the computationally intensive processing tasks from the wearable devices and relocates them to the survey server. The wearable devices only need to capture and transmit raw data, while the server performs the heavy lifting of three-dimensional model reconstruction and real-time updates, reducing energy consumption at the device level while maintaining real-time responsiveness.
Solution Approach 2:
The system replaces local mechanical processing at wearable devices with remote computational processing at the server. This substitution allows real-time processing capabilities to be achieved without the energy constraints of battery-powered devices, as the server has unlimited power supply and computational resources.
3Measurement precision
If comprehensive tracking of component manipulations is implemented, then the compliance monitoring accuracy improves, but the data processing time and system resource requirements increase
Solution Approach 1:
The system implements continuous tracking of component manipulations through the three-dimensional model, maintaining uninterrupted monitoring of component status, location, and manipulation events. This continuous action enables real-time compliance verification without periodic sampling delays, improving accuracy while the automated nature of the process minimizes additional processing time requirements.
Solution Approach 2:
The system provides immediate feedback on component manipulation compliance by continuously comparing actual component positions and states against the reference model. This feedback mechanism enables real-time detection of compliance violations without requiring batch processing or delayed analysis, thereby maintaining both high accuracy and efficient processing times.
Data Source
AI summary
A survey application generates a survey of components associated with a three-dimensional model of an object. The survey application receives video feeds, location information, and orientation information from wearable devices in proximity to the object. The three-dimensional model of the object is generated based on the video feeds, sensor data, location information, and orientation information received from the wearable devices. Analytics is performed from the video feeds to identify a manipulation on the object. The three-dimensional model of the object is updated based on the manipulation on the object. A dynamic status related to the manipulation on the object is generated with respect to reference data related the object. A survey of components associated with the three-dimensional model of the object is generated.