Handheld Arthropod Detection Using Hyperspectral Imaging
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Solution Overview
Problem
Current methods for detecting arthropods, such as ticks, mites, bedbugs, lice, and fleas, are inadequate as they often rely on visual inspection, which is inefficient and ineffective, especially in areas obscured by hair or fur, and fail to detect small or hidden parasites early enough to prevent disease transmission.
Innovation Solution
A handheld arthropod detection device equipped with hyperspectral and multispectral imaging sensors, terahertz band sensors, and acoustic modalities that scan surfaces to detect and identify arthropods by analyzing electromagnetic radiation and sound patterns, providing real-time alerts and guidance for removal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual inspection is used to detect arthropods, then the device complexity is low, but the detection precision and effectiveness deteriorate, especially in areas obscured by hair or fur
Solution Approach 1:
The patent replaces manual visual inspection with automated imaging sensors (hyperspectral, multispectral, terahertz) and acoustic sensors that can penetrate hair and fur to detect arthropods. This substitution of mechanical/visual methods with advanced sensing technologies resolves the contradiction by achieving high detection precision without requiring complex manual examination procedures.
Solution Approach 2:
The patent utilizes multiple spectral parameters (hyperspectral, multispectral, terahertz bands) and acoustic parameters to detect arthropods. By changing the detection parameter from visible light to multiple electromagnetic spectrum bands and sound frequencies, the system achieves high precision detection through hair and fur while maintaining manageable device complexity through integrated sensor arrays.
2Reliability
If multiple imaging sensors are used to detect hidden arthropods, then the detection effectiveness improves, but the device complexity and cost increase
Solution Approach 1:
The patent combines multiple imaging sensors (hyperspectral, multispectral, terahertz) and acoustic sensors into an integrated detection system. By merging these sensors into a single handheld device with unified processing, the system achieves high detection reliability for hidden arthropods while managing overall device complexity through integration rather than separate systems.
Solution Approach 2:
The patent creates a multi-functional handheld device that performs arthropod detection using multiple sensor types simultaneously. This universal device can detect various arthropod types (ticks, mites, bedbugs, lice, fleas) across different spectral and acoustic ranges, achieving high reliability through diverse detection capabilities while consolidating functionality into one device rather than requiring multiple specialized tools.
3Object-affected harmful factors
If early detection of arthropods is implemented, then the health risk reduces, but the requirement for advanced detection capabilities increases device complexity
Solution Approach 1:
The patent enables preliminary detection of arthropods before they can transmit diseases, by using advanced sensors to identify hidden parasites early in their attachment cycle. This preliminary action reduces disease transmission risk by detecting arthropods at stages when they are still visible to sensors but before they become difficult to remove, achieving health protection without requiring overly complex systems.
Solution Approach 2:
The patent uses electromagnetic radiation (multiple spectral bands) and acoustic waves as intermediaries to detect arthropods that are hidden from direct visual inspection. These intermediary detection methods penetrate hair and fur to locate arthropods early, reducing disease risk while maintaining practical device complexity through established physics-based sensing technologies.
4Ease of operation
If handheld device format is used for portability, then the ease of operation improves, but the sensor integration complexity increases
Solution Approach 1:
The patent integrates multiple sensors (hyperspectral, multispectral, terahertz, acoustic) into a nested hierarchical structure within a handheld form factor. Sensors are arranged in layers or modules that fit within each other, with processing units nested to handle data from multiple sources. This nesting approach maintains portability and ease of operation while managing the complexity of multiple sensor integrations through organized modular architecture.
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
Enhances the detection of arthropods in hard-to-see areas, allowing for timely removal and reducing the risk of disease transmission, skin irritation, and discomfort, while being more effective than visual inspection alone.
Implementation Method 1
scanning a subject using one or both of a hyperspectral image sensor or a multispectral image sensor of the electronic arthropod detection device that is sensitive to multiple bands of electromagnetic radiation
Implementation Method 2
scanning a subject using one or both of a hyperspectral image sensor or a multispectral image sensor of the electronic arthropod detection device that is sensitive to multiple bands of electromagnetic radiation
Implementation Method 3
The processor may be configured with processor-executable instructions to perform operations including scanning a subject using the terahertz band sensor to detect a region of interest (ROI) corresponding to an arthropod
Implementation Method 4
capturing at least one image of the ROI by an imaging sensor sensitive to a visible band of electromagnetic radiation
Data Source
AI summary
Various embodiments include systems and methods of arthropod detection using an electronic arthropod detection device. The electronic arthropod detection device may scan a surface or a subject using one or both of a hyperspectral image sensor or a multispectral image sensor that is sensitive to multiple bands of electromagnetic radiation to detect the presence or likely presence of an arthropod in a region of interest (ROI). A camera sensitive to a visible band of electromagnetic radiation may be used to capture at least one image and provides the image(s) to an object detection model in response to determining that an arthropod is or is likely present in the ROI. Hyperspectral and/or multispectral images may be provided to the object detection model alone or in combination with visible light image(s). A processor may initiate an arthropod detected procedure in response to detecting an arthropod in the ROI.