Smart Mosquito Trap Imaging for Automated Species Classification
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Solution Overview
Problem
Current entomological classification systems are cumbersome and inefficient for identifying specific mosquito species, particularly in situations requiring rapid detection of foreign mosquitoes, and existing mosquito traps lack digital advancements for automated classification.
Innovation Solution
A smart mosquito trap equipped with imaging devices, passive infrared sensors, and AI algorithms to capture and analyze mosquito images and wing-beat frequencies for automated genus and species classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual classification methods are used, then classification accuracy can be maintained, but productivity is extremely low and time consumption is high
Solution Approach 1:
The patent replaces manual mechanical classification with an automated digital imaging and AI-based classification system. The smart trap captures images of mosquitoes, and machine learning algorithms automatically classify them by genus and species, eliminating the need for manual microscopic examination and dramatically increasing classification speed.
Solution Approach 2:
The system enables self-service classification where the mosquito trap automatically identifies and classifies mosquitoes without human intervention. The integrated imaging device and AI algorithm allow the trap to independently perform classification tasks, freeing researchers from manual work while maintaining high productivity.
2Productivity
If automated classification systems are implemented, then productivity increases, but device complexity increases
Solution Approach 1:
The patent merges multiple functions into a single integrated smart trap device: mosquito attraction, capture, imaging, and AI-based classification. By combining these functions in one device rather than separate systems, the patent reduces overall system complexity while maintaining high automation and productivity.
Solution Approach 2:
The smart trap is designed as a multi-functional device that can attract, capture, image, and classify mosquitoes simultaneously. This universal design allows one device to perform multiple tasks that would otherwise require separate equipment, simplifying the overall system while increasing productivity.
3Measurement precision
If traditional classification methods are used, then measurement precision is adequate, but the ability to detect foreign mosquitoes efficiently is poor
Solution Approach 1:
The patent replaces traditional manual identification methods with digital imaging and AI-based classification. This substitution maintains measurement precision by using advanced image analysis to accurately identify species characteristics while dramatically improving detection efficiency through automated processing of multiple specimens simultaneously.
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, automated identification of mosquito species without human intervention, facilitating efficient vector surveillance and public health response.
Implementation Method 1
passive infrared sensors at the entrance of the trap to sense wing-beat frequencies and size of the insect
Implementation Method 2
A lamb-skin membrane, filled with an insect attractant such as carbon dioxide mixed with gas air inside, mimics human skin
Data Source
AI summary
An insect trap includes a combination of one or more components used to classify the insect according to a genus and species. In one embodiment, an apparatus can include an entry aperture configured to lead one or more insects to an imaging chamber within the apparatus. A device may include a door on a side surface of the apparatus, wherein a rear surface of the door is positioned within the imaging chamber in a closed position, and wherein the rear surface of the door comprises a removable/replaceable adhesive material or surface configured to trap one or more insects thereon. A device may include at least one imaging sensor positioned opposite the rear surface of the door configured to capture images of the one or more insects adhering to the adhesive material or surface.