AR Real Estate Content Selection Without QR Code Markers
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Solution Overview
Problem
Existing augmented reality (AR) systems require QR codes or hidden signatures for triggering digital overlays, limiting their applicability to modern printed materials and failing to recognize or interact with older or vintage media effectively, and they often need controlled environments for accurate recognition.
Innovation Solution
A system that uses image recognition techniques, including machine learning and flexible area definition, to identify real-world objects without QR codes or hidden signatures, enabling rapid updates and interactions with diverse printed materials, including 2D and 3D objects, and allowing real-time recognition through cloud-based databases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If QR codes or hidden signatures are used to trigger digital overlays, then the AR system can reliably identify printed materials, but it cannot recognize or interact with older or vintage media that lack these markers
Solution Approach 1:
The patent extracts the recognition marker from the printed material itself and replaces it with a captured image of the material. Instead of requiring QR codes or hidden signatures embedded in the print, the system captures an image of the entire printed material and uses that captured image as the basis for recognition and triggering AR content, thereby enabling compatibility with vintage media without sacrificing reliability through sophisticated image analysis
Solution Approach 2:
The system creates a digital copy (captured image) of the printed material and uses this copy as the trigger for AR content. This copying approach allows the system to work with any printed material regardless of its age or format, as long as it can be captured by a camera, thereby achieving universal compatibility while maintaining recognition accuracy through advanced image processing techniques
2Adaptability or versatility
If traditional AR systems require controlled environments for accurate recognition, then recognition precision is maintained, but the system cannot be used in diverse or uncontrolled settings
Solution Approach 1:
The patent implements dynamic image processing that adapts to varying environmental conditions. The system adjusts its recognition algorithms based on the captured image quality, lighting conditions, and material characteristics, allowing it to maintain accurate recognition across diverse and uncontrolled settings rather than requiring fixed environmental parameters
Solution Approach 2:
The system changes its processing parameters dynamically based on the input image characteristics. By adjusting recognition thresholds, filtering parameters, and analysis depth according to the quality and characteristics of the captured image, the system maintains high recognition accuracy whether the image is captured in controlled or uncontrolled environments
3Adaptability or versatility
If image recognition techniques are used without QR codes or hidden signatures, then the system can interact with any printed material including vintage media, but the complexity of the recognition process increases
Solution Approach 1:
The patent implements a universal image recognition system that handles multiple types of printed materials through a single unified approach. The system uses general-purpose image processing and machine learning algorithms that can recognize and categorize different materials (newspapers, magazines, books, vintage media) without requiring separate recognition mechanisms for each type, thereby managing complexity while achieving broad compatibility
Data Source
AI summary
A real estate information system recognizes a real world object relating to a real estate transaction and uses augmented, mixed and/or virtual reality to display information relating to the property and/or the transaction on a smart device such as a smartphone or AR glasses.