Scale–Image Calibration for Neonate Insect Dosing
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Solution Overview
Problem
Existing insect dosing systems face challenges in accurately counting neonate insects due to their small size, variability in size, tendency to cluster, and presence of debris, leading to significant errors and inefficiencies, especially when shipping or distributing insects for applications like pest management, protein production, and waste reduction.
Innovation Solution
An insect dosing system utilizing a scale, imager, and calibration functionality to determine the number of insects based on weight and image analysis, with a dispenser to adjust the quantity to meet predetermined dosing values, incorporating features like a dead insect filter and vibration conveyor for precise insect delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional counting or weight dosing solutions are used for neonate insects, then the dosing process is simple, but the measurement precision deteriorates due to small size, size variability, clustering, and debris
Solution Approach 1:
The system segments the dosing process into distinct functional modules: imaging subsystem for visual detection, weight measurement subsystem for mass detection, calibration functionality for parameter optimization, and dose functionality for controlled dispensing. This segmentation allows each module to specialize in specific tasks, improving overall measurement precision while managing complexity through modular architecture
Solution Approach 2:
The system introduces calibration functionality as an intermediary layer between raw measurements and final dosing decisions. This calibration module processes data from both imaging and weight sensors, optimizing the relationship between measured parameters and actual insect counts, thereby significantly improving measurement precision without requiring direct complex hardware modifications
2Measurement precision
If prior art solutions increase dosing accuracy through complex methods, then the measurement precision improves, but the productivity deteriorates due to slow processing speed
Solution Approach 1:
The system implements continuous simultaneous operation of imaging and weight measurement processes, with parallel data processing through the calibration functionality. This continuous operation eliminates sequential processing delays, maintaining high dosing speed while achieving accurate measurements through concurrent multi-parameter analysis
Solution Approach 2:
The system replaces traditional mechanical counting methods with automated imaging technology and electronic calibration algorithms. This substitution eliminates manual or mechanical sequential processing, enabling rapid parallel analysis of visual and weight data, thereby maintaining high productivity while achieving superior dosing accuracy
3Measurement precision
If neonate insects are counted manually or with traditional methods, then the device complexity is low, but the measurement precision deteriorates due to clustering and debris interference
Solution Approach 1:
The system merges two independent detection modalities—imaging-based visual detection and weight-based mass detection—into a unified measurement system. By combining these complementary approaches through calibration functionality, the system overcomes the limitations of each individual method, achieving high precision in counting neonates despite challenges like clustering and debris
Solution Approach 2:
The calibration functionality implements feedback mechanisms that continuously optimize the relationship between imaging data, weight measurements, and actual insect counts. This feedback loop allows the system to adapt to varying conditions such as clustering patterns and debris characteristics, maintaining high measurement precision without increasing operational complexity
4Manufacturing precision
If weight-based dosing is used without calibration, then the ease of operation is high, but the manufacturing precision deteriorates due to size variability among insects
Solution Approach 1:
The system performs preliminary calibration actions before actual dosing operations. The calibration functionality pre-establishes the relationship between weight measurements and insect counts based on imaging data, creating optimized parameters in advance. This preliminary action ensures consistent dosing precision throughout operation without requiring complex real-time adjustments
Solution Approach 2:
The calibration functionality dynamically adjusts measurement parameters and conversion factors based on observed insect characteristics and environmental conditions. By changing these parameters preliminarily and maintaining them during operation, the system achieves consistent dosing precision while managing complexity through parameter optimization rather than hardware complexity
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
The system achieves high accuracy in insect counting and dosing, reducing errors to a manageable level and enhancing operational efficiency by ensuring the correct number of insects is delivered for various applications.
Implementation Method 1
at least one scale
Implementation Method 2
an imager
Implementation Method 3
The dispenser comprises a vibration conveyor, the vibration conveyer controlled by the dose functionality
Data Source
AI summary
An insect dosing system constituted of: at least one scale; an imager; a calibration functionality; and a dose functionality.