Object Recognition via Luminescence Spectral Pattern Matching
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Solution Overview
Problem
Current computer vision systems face challenges in identifying objects with high accuracy and low latency using minimal resources, particularly due to limitations in techniques such as barcode readability, ambient lighting sensitivity, and the need for high-resolution imaging, which complicates object recognition in varying conditions and occlusions.
Innovation Solution
A system utilizing a light source with multiple illuminants, including solid-state systems, to create specific spectral responses for object recognition, combined with a sensor and data processing unit to extract and match luminescence spectral patterns, allowing for object identification regardless of shape or occlusions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional image-based object recognition techniques are used, then the system can identify objects based on shape and appearance, but the accuracy decreases when objects are occluded or only partially visible
Solution Approach 1:
The patent applies luminescence spectral pattern recognition to detect chemical composition signatures that remain consistent regardless of object shape, orientation, or occlusion. Different materials emit characteristic luminescence spectra when excited by light, allowing the system to identify objects based on their chemical fingerprint rather than visual appearance, thereby maintaining recognition accuracy under occlusion and varying conditions.
2Measurement precision
If high-resolution imaging systems are used to improve object recognition accuracy, then measurement precision increases, but device complexity and resource requirements increase
Solution Approach 1:
The patent replaces complex high-resolution mechanical imaging systems with a simpler optical excitation and spectral detection system. Instead of relying on high-resolution cameras and complex image processing, the system uses light sources to excite luminescence in objects and sensors to detect the emitted spectral patterns, achieving accurate material identification with less complex hardware.
3Ease of operation
If ambient lighting is used for object recognition, then the system operates without additional light sources, but sensitivity to varying lighting conditions increases
Solution Approach 1:
The patent employs periodic modulation of the light source to excite luminescence in the object at specific frequencies. By modulating the excitation light and detecting the modulated luminescence response, the system can distinguish the object's chemical signature from ambient lighting variations, maintaining consistent and reliable detection regardless of changing ambient light conditions.
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 object recognition by analyzing chemical information, reducing sensitivity to ambient lighting and occlusions, and allowing for efficient classification independent of object geometry, thereby improving object identification in computer vision applications.
Implementation Method 1
a light source which is composed of at least two illuminants and configured to give a specific spectral response on demand... wherein at least one of the at least two illuminants is based on at least one solid-state system
Implementation Method 2
a sensor which is configured to measure radiance data of the scene including the object when the scene is illuminated by the light source
Implementation Method 3
a data processing unit which is configured to extract/estimate the object-specific luminescence spectral pattern of the object to be recognized out of the radiance data of the scene
Data Source
AI summary
A method and system for object recognition via a computer vision application including an object to be recognized, the object having an object specific luminescence spectral pattern, a light source including at least two illuminants for illuminating a scene including the object to be recognized by switching between the two illuminants, a sensor configured to capture radiance data of the scene including the object when the scene is illuminated by the light source, and a data storage unit storing fluorescence spectral patterns together with appropriately assigned respective objects. The method and system further include a data processing unit configured to extract the object specific fluorescence spectral pattern from the radiance data of the scene and to match the extracted object specific fluorescence spectral pattern with the fluorescence spectral patterns stored in the data storage unit, and to identify a best matching fluorescence spectral pattern and its assigned object.