RFID-Based AR Localization in Low-Light Environments
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Solution Overview
Problem
Traditional augmented reality (AR) systems using visual-based SLAM technology perform poorly in low-light, enclosed, or harsh environments, such as underwater or underground settings, due to the reliance on sufficient light conditions for camera-based tracking and mapping.
Innovation Solution
Implementing an RFID-based SLAM algorithm that scans RFID tags to identify objects, generate accurate scaled models, and overlay object data on a display, allowing for effective AR operation in harsh environments by using RFID transmission systems to provide identifying information for virtual object rendering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If visual-based SLAM technology is used for AR tracking and mapping, then the system can provide accurate object identification and positioning in well-lit environments, but the system performance deteriorates in low-light, enclosed, or harsh environments
Solution Approach 1:
The patent replaces the camera-based visual SLAM system with an RFID-based identification system. The RFID transmission system emits electromagnetic signals that interact with RFID tags on objects, enabling identification and positioning without relying on visible light conditions. This substitution allows the AR system to maintain reliability in harsh environments where visual-based systems fail.
Solution Approach 2:
The system changes the operational parameters from optical domain (camera-based visual tracking requiring sufficient light) to electromagnetic domain (RFID radio frequency signals that penetrate darkness and harsh conditions). By changing the physical parameter domain, the system achieves environment-independent operation.
2Adaptability or versatility
If RFID-based SLAM algorithm is implemented to enable operation in harsh environments, then the system can identify and position objects in low-visibility conditions, but the device complexity increases
Solution Approach 1:
The RFID tags serve multiple functions: they provide unique identification, store object information, and enable positioning through their spatial distribution patterns. This multi-functionality reduces the need for separate systems for each function, thereby limiting the increase in overall device complexity while achieving environmental adaptability.
Solution Approach 2:
The RFID tags act as intermediaries between the physical objects and the AR system. Instead of requiring complex direct sensing and interpretation of harsh environments, the system uses RFID tags as mediators that transmit object information through electromagnetic fields, simplifying the interaction between the AR system and the environment.
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
Enables accurate scaling and positioning of virtual representations of real-world objects in AR systems, enabling interaction with real-world objects even in environments with low visibility, thereby improving AR performance in harsh conditions.
Implementation Method 1
implement an RFID-based SLAM algorithm that scans RFID tags to identify objects
Data Source
AI summary
Techniques are provided for performing an RFID-based localization and mapping of an environment. In one embodiment, the techniques involve generating identifying information of a first virtual object based on a RFID tag scan, retrieving a first virtual object model or a first object model data based on the identifying information of the first virtual object, generating display data of the first virtual object model or the first object model data relative to a position of an augmented reality system, and rendering the first virtual object model or the first object model data on a display based on the display data.