Luggage Size Measurement via Image Feature Points
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Solution Overview
Problem
Travelers face challenges in determining whether their carry-on luggage complies with airline size and weight restrictions due to varying overhead storage capacities across aircraft, leading to potential delays and risks of lost luggage.
Innovation Solution
A travel service system utilizing a processor, memory, and image capture device to identify feature points in images, generate a model of the luggage, and measure its size relative to a reference plane, providing an indication of compliance with airline baggage size requirements, which can be automatically determined based on the traveler's flight itinerary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If travelers manually estimate luggage size, then no additional measurement equipment is needed, but accuracy of size assessment deteriorates leading to compliance risks
Solution Approach 1:
The mobile device serves multiple functions: it acts as both the image capture device and the processing unit. The camera captures images of the luggage and the processor executes the measurement algorithm, combining what would traditionally be separate measurement equipment with a device travelers already possess. This eliminates additional hardware complexity while maintaining measurement accuracy.
Solution Approach 2:
Instead of physically measuring the luggage with tape measures or calipers, the system creates a digital copy (image) of the luggage and performs measurements on this copy through image processing. The processor identifies feature points in the captured image and calculates dimensions from these digital representations, avoiding the need for physical measurement tools.
2Productivity
If automated measurement systems are implemented, then measurement speed and accuracy improve, but device complexity and cost increase
Solution Approach 1:
The system performs self-service by automatically capturing images, identifying feature points, calculating dimensions, and determining compliance status without requiring manual intervention. The processor autonomously executes the entire measurement workflow from image capture to compliance assessment, eliminating the need for operators to manually measure or calculate luggage dimensions.
Solution Approach 2:
The patent replaces mechanical measurement systems (tape measures, calipers, physical gauges) with an optical and computational system. The image capture device optically records the luggage, and the processor uses algorithmic analysis to derive measurements, substituting mechanical contact-based measurement with non-contact optical measurement and digital computation.
3Measurement precision
If comprehensive feature point identification is performed, then measurement accuracy improves, but processing time and computational load increase
Solution Approach 1:
The processor segments the image processing task by identifying specific feature points (corners, edges, contours) rather than analyzing every pixel. By focusing computational resources on key geometric features that define luggage dimensions, the system achieves accurate measurements while reducing overall processing time compared to exhaustive image analysis.
Solution Approach 2:
The system identifies a sufficient set of feature points needed for accurate measurement without attempting to detect every possible feature in the image. By determining when enough feature points have been captured to reliably calculate dimensions, the processor avoids unnecessary computational overhead while maintaining measurement precision.
Data Source
AI summary
Systems and methods for object measurement in accordance with aspects of the disclosure are described. One embodiment of the invention includes a system including a processor, a memory in communication with the processor, an input device, and an image capture device, wherein the processor obtains image data using the image capture device in response to input received from the input device indicating that image data should be captured, identifies a set of feature points within the obtained image data, completes the obtaining of the image data based on the set of feature points identified and in response to input received from the input device indicating that image data should no longer be captured, generates a model based on the set of feature points, measures the generated model with respect to a reference plane, and provides an indication of the measured size of the generated model.