3D Object Size Estimation via Self-Calibrating Reference
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Solution Overview
Problem
Traditional methods for estimating the size of three-dimensional objects are time-consuming, labor-intensive, and prone to errors due to manual scale setting and complex computations, making them unsuitable for real-time applications like logistics and storage, where precise 3D size information is not always necessary.
Innovation Solution
A system utilizing self-calibration with a reference object of known dimensions to correct scale inconsistencies, employing image processing and multiple cameras for accurate spatial size estimation, which can be implemented on a computer or portable device, and integrated with cloud computing for efficient data organization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual operation is used to measure and record object sizes, then measurement can be performed, but it is time-consuming and requires a lot of manpower
Solution Approach 1:
The patent replaces manual mechanical measurement operations with an automated image processing system. The system captures images of objects and uses computer vision algorithms to automatically detect object boundaries, calculate areas, and determine sizes, eliminating the need for manual measurement tools and operations while maintaining measurement accuracy.
Solution Approach 2:
The system enables automatic self-measurement by capturing images and processing them through algorithms that autonomously identify objects, calculate their dimensions, and generate measurement results without requiring human intervention in the actual measurement process, thereby significantly improving productivity.
2Measurement precision
If manual scale setting is used in image analysis, then scale information can be obtained, but it introduces operational errors and reduces accuracy
Solution Approach 1:
The patent replaces manual scale setting operations with automatic scale calibration using reference objects of known dimensions. The system automatically detects the reference object in the image, compares its image size with its actual size, and calculates the scale factor, eliminating manual intervention and associated errors.
Solution Approach 2:
The system introduces a reference object as an intermediary element to establish the scale relationship between image space and real world. This reference object serves as a mediator that enables automatic scale calculation without requiring manual input, thereby improving both accuracy and ease of operation.
3Measurement precision
If three-dimensional model construction is used to measure object size, then precise measurement can be achieved, but it requires considerable computation and complex algorithms
Solution Approach 1:
The patent extracts only the essential information needed for size measurement from the full three-dimensional modeling process. Instead of constructing complete 3D models, the system directly calculates object sizes from two-dimensional image measurements combined with automatic scale calibration, removing unnecessary computational steps while maintaining measurement accuracy.
Solution Approach 2:
The system inverts the traditional approach by not constructing 3D models to measure objects, but rather using 2D image measurements with automatic scale calibration to directly obtain size information. This inverted approach achieves the same measurement goal with significantly reduced computational complexity.
4Measurement precision
If traditional image analysis is used, then object size can be estimated, but it requires user input of scale information which is time-consuming
Solution Approach 1:
The system performs preliminary action by automatically calculating the scale factor using a reference object before proceeding to measure the target object. This pre-computation of scale information eliminates the need for users to manually input scale data, saving time while maintaining measurement precision.
Solution Approach 2:
The system enables self-service by automatically obtaining scale information through image processing of a reference object, without requiring user input. The system autonomously completes the scale calibration step, thereby eliminating time loss associated with manual scale information entry.
Data Source
AI summary
The invention discloses a system and method for estimating a three-dimensional (3D) packaging size of an object. The method has a self calibration function to correct the scale in the measurement environment so as to reduce errors caused by human operations. The system comprises an image capture unit for capturing images of the measurement environment and objects; a scale correction unit for performing the calibration using a reference object of a known size; and an object size estimation unit for detecting the position of an object to be estimated in the image data received from the image capture unit and estimating the 3D size of the object according to the calibrated scale.