Inspection Hub Optical Weight Measurement
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Solution Overview
Problem
Current product inspection systems lack an efficient method for automatically measuring sample weight via optical inspection, particularly in applications like almond inspection where precise weight data is crucial.
Innovation Solution
The method involves collecting measurement data using an adaptable inspection unit, determining the volume or area of the sample from the data, and calculating the sample's weight based on these dimensions, utilizing captured images and optical inspection techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional weighing methods are used to measure sample weight, then measurement accuracy is improved, but inspection efficiency and automation are worsened
Solution Approach 1:
The patent replaces mechanical weighing systems with an optical inspection system that uses cameras and image processing algorithms to measure sample dimensions and calculate weight. The system captures images of samples, determines their volume through pixel analysis and 3D reconstruction, and calculates weight using density relationships, thereby eliminating the need for physical contact with mechanical scales and enabling non-contact, high-speed automated inspection.
2Measurement precision
If manual inspection methods are used, then measurement detail and quality assessment are improved, but labor requirements and human error are worsened
Solution Approach 1:
The optical inspection system performs self-service by automatically capturing images, processing visual data through algorithms, determining sample dimensions, and calculating weight without human intervention. The system includes built-in image processing capabilities that automatically analyze captured images, extract dimensional information, and compute weight measurements, enabling the device to serve itself and eliminate the need for manual inspection while maintaining high measurement precision.
3Productivity
If optical inspection is used to measure sample dimensions, then automation and inspection speed are improved, but measurement precision for weight calculation is worsened
Solution Approach 1:
The patent transitions from two-dimensional image capture to three-dimensional volume reconstruction by analyzing pixel data across multiple dimensions. The system uses optical inspection to capture 2D images and then applies 3D reconstruction algorithms that calculate depth and volume by analyzing pixel coordinates, intensity variations, and spatial relationships, thereby adding a third dimension to the measurement process and enabling accurate weight calculation from optical data alone.
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
This approach enables accurate and automated measurement of sample weight, providing valuable insights into product quality and quantity, thereby improving inspection efficiency and reducing human error.
Implementation Method 1
The measurement data includes a captured image that includes a plurality of pixels. The measurement data is measured by an optical inspector.
Data Source
AI summary
An apparatus is configured to facilitate communication with a network of inspection and sorting devices. It transmits operational instructions to the inspection units and sorting units, ensuring synchronized operations. The apparatus also receives and communicates inspection and sorting data, enabling real-time analysis and decision-making. Additionally, it exchanges status data with these devices, providing insights into their operational performance and health. The apparatus stores the received data for further processing or reporting. Based on the collected data, the apparatus can generate and send notification messages, such as alerts for performance issues or maintenance needs. Furthermore, it can send updated instructions to inspection and sorting units to adjust their configurations or operations as necessary, improving efficiency and responsiveness. This system enhances control, monitoring, and management of inspection and sorting tasks in complex environments.