Camera-Based Plate Dimension Identification for Faster Warehouse Storage
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Solution Overview
Problem
Manual measurement of artificial stone plate sizes is time-consuming, leading to low storage efficiency in warehouses.
Innovation Solution
A method and device that combines weighing technology and photogrammetric measurement to automatically calculate plate dimensions by establishing a dimension identification model, correcting shooting distance, and using image pixel ratios to enhance accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurement with tape measure is used, then measurement can be performed, but time consumption increases and storage efficiency decreases
Solution Approach 1:
The patent replaces the mechanical tape measure system with an optical measurement system consisting of a camera and image processing algorithms. The camera captures images of the plate, and the system automatically calculates dimensions by detecting plate edges and reference marks in the image, eliminating the need for manual mechanical measurement and significantly reducing measurement time.
Solution Approach 2:
The measurement system performs self-measurement by automatically capturing images, processing them through edge detection algorithms, and calculating plate dimensions without human intervention. The system uses reference marks on the plate itself as measurement benchmarks, allowing the plate to serve as its own measurement reference.
2Loss of information
If manual measurement is used, then size information can be obtained, but storage efficiency is reduced
Solution Approach 1:
The system enables continuous measurement operations by automatically processing multiple plates in sequence. The camera continuously captures images, and the image processing system continuously analyzes them to extract dimension information, allowing uninterrupted workflow and improving overall storage efficiency compared to intermittent manual measurement.
Solution Approach 2:
The optical measurement system replaces manual measurement operations, enabling automatic and continuous acquisition of size information. This substitution eliminates the time-consuming nature of manual measurement and allows rapid processing of multiple plates, thereby improving storage efficiency.
3Productivity
If automatic image-based measurement is implemented, then measurement speed increases, but measurement accuracy may be affected by shooting distance variations
Solution Approach 1:
The system performs preliminary calibration by establishing the relationship between image pixel dimensions and actual plate dimensions at known shooting distances before actual measurement. Reference marks with known dimensions are used to create a calibration model that accounts for perspective distortion and shooting distance variations, enabling accurate measurements during automatic operation.
Solution Approach 2:
The system compensates for shooting distance variations by dynamically adjusting measurement parameters based on detected reference marks in each image. By calculating the position and size of reference marks, the system determines the actual shooting distance and adjusts the pixel-to-real-world conversion ratio accordingly, maintaining measurement accuracy across different distances.
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
Automatically measures plate sizes with high accuracy without manual participation, improving storage efficiency by eliminating the need for manual measurement.
Implementation Method 1
collecting an image of the target plate
Implementation Method 2
measuring a weight M of a target plate
Data Source
AI summary
A plate dimension identification method is provided, where respectively under n predetermined shooting distances h, ratio R of length of a reference plate to an image pixel length, and ratio R′ of width of the reference plate to an image pixel width are collected; each shooting distance is correlated with the corresponding R and R′ to establish an identification model; a distance between a camara and a plate-carrying surface is measured and input into the model to output corresponding ratios R and R′ Rrough and R′rough); a target plate image is captured, from which pixel width and length are obtained; a rough width is calculated based on the pixel width and R′rough, and a rough length is calculated based on the pixel length and Rrough; and accurate length and width of the target plate are obtained based on the rough width and length.


