Multi-Range Spectral Imaging for Small-Insect Trap Counting
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Solution Overview
Problem
Existing insect detection and counting methods, particularly for small insects like the California red scale, are inefficient and require significant human intervention due to their small size and lack of effective automated systems for precise counting.
Innovation Solution
A method and system utilizing spectral imaging in multiple quasi-monochromatic spectral ranges, combined with algorithms to differentiate and count insects based on spectral and morphological parameters, specifically designed for the California red scale, using illumination and acquisition systems to analyze and count insects automatically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual counting methods are used with optical magnification systems, then detection capability for small insects is improved, but productivity and automation level deteriorate
Solution Approach 1:
The patent replaces manual mechanical counting with an automated optical system that captures images of traps and uses image processing algorithms to automatically count insects. The system substitutes human visual inspection and manual counting with computer-based image analysis, achieving both high detection capability for small insects and high productivity through automated processing
Solution Approach 2:
The system enables self-service by allowing the trap to be imaged and counted automatically without human intervention. The imaging system captures images of the trap contents, and the processing algorithms automatically identify and count insects, making the system autonomous in performing the counting function
2Productivity
If automated camera-based detection is used for large insects, then productivity is improved, but measurement precision for small insects deteriorates
Solution Approach 1:
The patent changes key parameters including using high-resolution cameras to capture fine details, optimizing illumination to enhance contrast for small insects, and adjusting image processing algorithms to detect subtle features. These parameter changes enable the automated system to maintain high detection accuracy for small insects while preserving productivity benefits
Solution Approach 2:
The system transitions from simple 2D image capture to multi-dimensional analysis by incorporating depth information, multiple viewing angles, or spectral information. This dimensional enhancement allows the system to distinguish small insects from background elements more effectively, improving detection precision while maintaining automation
3Measurement precision
If spectral imaging in multiple ranges is used, then measurement precision for insect differentiation is improved, but device complexity and energy consumption increase
Solution Approach 1:
The patent segments the spectral analysis into distinct wavelength ranges, processing different spectral bands separately and then combining results. This segmentation allows the system to target specific spectral features of insects without requiring full-spectrum analysis, reducing computational complexity while maintaining differentiation accuracy
Solution Approach 2:
The imaging system is designed to perform multiple functions: capturing visual images, analyzing spectral characteristics, and identifying insect species. By creating a universal system that integrates these functions, the patent reduces overall device complexity compared to having separate systems for each function
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 precision and speed of insect detection and counting, improving integrated plague control, particularly in citrus production, by accurately distinguishing and counting small insects like the California red scale.
Implementation Method 1
after having sequentially illuminated (i.e. multiplexed illumination) the trap, or a portion of the trap, with light at said two different quasi-monochromatic spectral ranges
Implementation Method 2
acquisition, by means of an acquisition system, of a plurality of spectral images of a trap
Data Source
AI summary
A method and system are proposed for the automatic counting of the number of insects in a trap. The method comprises acquiring, using an acquisition system, a plurality of spectral images of a trap or of a portion of the trap, the spectral images being acquired for at least two different quasi-monochromatic spectral ranges after having sequentially illuminated the trap, or portion of the trap, with light at said two quasi-monochromatic spectral ranges. The trap, or portion of the trap, contains a series of objects adhered thereto, including insects, and optionally other particles. In addition, the method comprises counting, using a processor, the number of insects of a first type through the detection and differentiation of the insects of the first type taking spectral and morphological parameters thereof into account.