Invisible Light Pattern Detection for Visually Identical Objects
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Solution Overview
Problem
Current augmented and mixed reality systems struggle to uniquely identify objects that are visually indistinguishable using GPS technology, especially mobile or small objects not tracked in location databases, and visible identifiers are undesirable for maintaining aesthetic appeal.
Innovation Solution
Employing invisible light sensing devices that detect unique identification patterns through invisible light emitted or reflected by objects, using electromagnetic radiation undetectable to the human eye, such as infrared or ultraviolet light, to identify objects based on sequenced pulsing or reflective coatings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS technology is used to identify objects, then location-based identification is achieved, but mobile objects and small objects not tracked in location databases cannot be uniquely identified
Solution Approach 1:
The patent replaces GPS satellite-based positioning with a camera-based optical recognition system. The camera captures images of objects, and image processing algorithms identify objects by analyzing their visual features, replacing the mechanical/GPS-based location tracking system with an optical recognition system that works for any object within camera view.
Solution Approach 2:
The patent creates digital copies or representations of physical objects through camera imaging. By capturing visual information and creating image data copies, the system can identify and track objects without needing physical GPS tags or location databases, allowing identification of any object that can be photographed.
2Measurement precision
If visible identifiers are used to distinguish objects, then object identification is achieved, but aesthetic appeal is compromised
Solution Approach 1:
The patent utilizes color and visual pattern recognition through camera imaging to identify objects. By analyzing color spectra, patterns, and visual features captured by the camera, the system can distinguish objects without adding visible identification markers, maintaining aesthetic appearance while enabling identification through software-based visual analysis.
Solution Approach 2:
The patent extracts identification information from the visual appearance itself rather than adding separate identification markers. By analyzing existing visual features, colors, and patterns of objects through camera imaging, the system derives identification data without requiring additional visible elements that would compromise aesthetics.
3Ease of operation
If multiple visually identical objects are used, then aesthetic consistency is maintained, but object differentiation becomes impossible with traditional methods
Solution Approach 1:
The patent analyzes local visual qualities and subtle variations in each object's appearance through detailed image processing. By examining local color variations, pattern differences, and fine visual features in captured images, the system can differentiate between visually identical objects based on their unique local characteristics without altering their overall appearance.
Solution Approach 2:
The patent detects and utilizes subtle parameter variations in object appearance such as color spectrum differences, reflectivity variations, and pattern frequency changes. By measuring these minute parameter differences through camera imaging and spectral analysis, the system can distinguish between identical-looking objects while maintaining their visual consistency.
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 efficient and unobtrusive identification of visually identical objects, enhancing user experiences in digital reality environments by providing unique identifiers without affecting aesthetics.
Implementation Method 1
using electromagnetic radiation undetectable to the human eye, such as infrared or ultraviolet light
Implementation Method 2
using electromagnetic radiation undetectable to the human eye, such as infrared or ultraviolet light
Implementation Method 3
invisible light emitted or reflected by objects
Data Source
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AI summary
An invisible light sensing device senses invisible light from a plurality of invisible light emitting or reflecting objects in which each of the invisible light emitting or reflecting objects emits or reflects invisible light in an identification pattern that is distinct from other identification patterns. An identification pattern is based on a sequenced pulsing pattern of invisible light that is emitted by an invisible light emitting object to form the identification pattern. An identification pattern is also based on an invisible light reflective coating that is applied to an invisible light reflecting object.