Camera-Wireless 3D Tracking Fusion for Precise AR Positioning
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Solution Overview
Problem
Traditional tracking systems in augmented reality environments suffer from inaccuracies in determining precise location and orientation of mobile devices, hinder seamless user interactions, and struggle with targeted advertising and security in real-world environments due to a lack of precise user location data.
Innovation Solution
A camera-integrated wireless 3D mapping and tracking system using a phased array antenna and signal processing module to detect wireless signals, convert them into 3D spatial data, and integrate visual data for accurate object detection and classification, synchronized with cloud-based AR content for enhanced interaction and targeted advertising.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional tracking systems are used in augmented reality environments, then device tracking functionality is provided, but location and orientation precision deteriorates
Solution Approach 1:
The patent combines wireless signal detection (phased array antenna) with visual data capture (camera system) into a unified tracking system. The signal processing module processes wireless signals to determine device positions, while the integration module correlates this data with visual information from multiple cameras, creating a hybrid tracking system that achieves higher precision than traditional single-modality systems
Solution Approach 2:
The patent introduces a correlation module as an intermediary that synchronizes and correlates wireless signal data with visual data from camera systems. This intermediary component processes both data streams together, enabling precise determination of device location and orientation by combining complementary information from different sensing modalities
2Difficulty of detecting and measuring
If camera integration is added to wireless tracking system, then object detection capability is improved, but system complexity increases
Solution Approach 1:
The integration module serves multiple functions: it receives visual data from camera systems, processes wireless signal data from the phased array antenna, performs object detection and classification, and correlates all data streams. This multi-functional design consolidates what would otherwise require separate processing systems, managing complexity through functional integration
Solution Approach 2:
The patent divides the tracking system into distinct functional modules: a signal processing module for wireless signal detection, a correlation module for data synchronization, and an integration module for object detection and classification. This modular segmentation allows each component to be optimized independently while maintaining overall system coherence and manageable complexity
3Measurement precision
If 3D spatial data is determined through triangulation and trilateration, then location precision is improved, but computational requirements increase
Solution Approach 1:
The signal processing module performs preliminary processing of wireless signals to extract position information using triangulation and trilateration methods. By pre-processing the signal data to determine device positions before full system integration, the computational load is distributed earlier in the processing chain, allowing the integration module to focus on correlating pre-determined positions with visual data rather than performing all calculations from scratch
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Provides precise location and orientation tracking, enables seamless user interactions, and delivers targeted advertising and enhanced security by integrating visual and spatial data for accurate object detection and classification.
Implementation Method 1
a phased array antenna and signal processing module configured to detect wireless signals received from one or more target devices
Implementation Method 2
The conversion module determines the 3D spatial data for the one or more target devices by triangulation and/or trilateration
Implementation Method 3
The conversion module determine the 3D spatial data for the one or more target devices using at least one of an Angle of Arrival (AoA) measurement, a Time of Arrival (ToA) measurement
Data Source
AI summary
A system includes a phased array antenna, a signal processing module configured to detect wireless signals received from one or more target devices, a conversion module configured to determine 3D spatial data for the one or more target devices based on the wireless signals, an integration module configured to receive visual data from at least one camera, perform object detection and classification on the visual data to detect and classify one or more objects, and tag the one or more objects with 3D coordinates based on the 3D spatial data for the one or more target devices; and a correlation module configured to synchronize the 3D spatial data from the conversion module with the visual data from the integration module including object detection and classification information for use in a cloud-based augmented reality (AR) content to augment social networking and targeted advertising.