Multispectral Imaging Device for Seafood Origin Verification
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Solution Overview
Problem
The seafood industry faces challenges in accurately identifying and verifying the origin of seafood due to mislabeling and adulteration, which is difficult without specialized equipment that can quickly and efficiently process large volumes.
Innovation Solution
A multispectral imaging device with a LED array emitting varying wavelengths, a luminosity sensor, and onboard processor, combined with AI or machine learning algorithms, captures and analyzes luminosity data to determine the identity and origin of seafood.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If specialized multispectral imaging equipment is used to identify seafood, then identification accuracy and speed are improved, but device complexity and cost increase
Solution Approach 1:
The device segments the spectral analysis function into discrete wavelength channels using an LED array with specific wavelength emitters (e.g., 450nm, 530nm, 630nm, 850nm) rather than using a continuous spectrum scanner. This segmentation allows the system to achieve precise identification at key spectral points while reducing overall system complexity and cost.
Solution Approach 2:
The imaging device is designed to perform multiple functions: capturing reflectance spectra across different wavelengths, identifying seafood species, determining geographic origin, and detecting adulteration. This multi-functionality consolidates what would otherwise require multiple separate analytical instruments into a single device, reducing complexity while maintaining high measurement precision.
2Productivity
If large volume of seafood is processed quickly, then productivity is improved, but measurement precision may deteriorate
Solution Approach 1:
The system performs preliminary spectral capture at multiple predetermined wavelength points using the LED array before analysis. By pre-positioning the measurement wavelengths based on known spectral characteristics of seafood materials, the system enables rapid processing without sacrificing precision, as the critical spectral information is captured in advance through the multi-wavelength illumination approach.
Solution Approach 2:
The patent replaces traditional mechanical scanning systems (which physically move components to scan across wavelengths) with a stationary LED array that simultaneously provides multiple wavelength channels. This substitution eliminates mechanical movement, enabling rapid sequential or simultaneous multi-wavelength measurement while maintaining spectral precision, thus improving productivity without compromising measurement accuracy.
3Measurement precision
If multiple wavelengths are used for scanning, then identification accuracy is improved, but measurement time increases
Solution Approach 1:
The LED array emits light in periodic pulses at different wavelengths in rapid succession, with each wavelength channel activated sequentially but quickly. This periodic activation pattern allows the system to collect spectral data at multiple wavelengths without requiring continuous illumination, reducing the total measurement time while maintaining the spectral resolution needed for accurate identification.
Solution Approach 2:
The system pre-selects and positions LED emitters at specific wavelengths that are most informative for seafood identification based on prior knowledge of spectral characteristics. This preliminary configuration of wavelength channels ensures that the most critical spectral information is captured first and most efficiently, reducing the time needed to achieve sufficient measurement precision compared to scanning all possible wavelengths.
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 rapid and efficient identification and verification of seafood species and origin, effectively addressing mislabeling and adulteration issues in the seafood supply chain.
Implementation Method 1
a luminosity sensor configured to capture luminosity data of each light emitted by the plurality of LEDs and reflected from the target object
Data Source
AI summary
A multispectral imaging device and system is provided. The multispectral imaging device includes a light emitting diode (LED) array including a plurality of LEDs configured to sequentially emit light towards a target object to be scanned, each of the LEDs being configured to emit a differing wavelength from one another; a scanning hood configured to house the LED array; a luminosity sensor configured to capture luminosity data of each light emitted by the plurality of LEDs and reflected from the target object; a printed circuit board (PCB) configured to provide electronic connections and mounting surfaces for the LED array and the luminosity sensor; a housing configured encase the PCB; and a trigger configured to initiate operation of the LED array. The multispectral imaging system further includes a computer configured to apply one or more artificial intelligence (AI) or machine learning (ML) algorithms to the luminosity data of the target object for determining an identity and/or origin of the target object.