Optical Capture for Vehicle Loading Arrangement
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Solution Overview
Problem
Current loading planning tools for vehicles, especially automobiles, are inadequate as they primarily focus on goods transport and lack efficient solutions for determining optimal loading and securing arrangements for objects of varying dimensions and weights, which can lead to inefficient use of cargo space and insecure transport.
Innovation Solution
A method and apparatus using an optical capture apparatus to automatically determine object dimensions and cargo space dimensions, allowing for a graphical, three-dimensional representation of optimal loading arrangements and securing elements, such as transport nets and straps, to ensure secure and efficient loading of luggage or packages in vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If loading planning tools focus on goods transport optimization, then transport efficiency is improved, but they fail to provide effective solutions for automobiles with objects of varying dimensions and weights
Solution Approach 1:
The loading planning tool is designed to serve multiple functions: it optimizes goods transport efficiency while simultaneously adapting to automobile loading scenarios with objects of varying dimensions and weights. The system provides universal loading recommendations applicable to different vehicle types and object characteristics, making it versatile across various transport contexts.
Solution Approach 2:
The system determines optimal loading arrangements by considering local characteristics of individual objects (dimensions, weights) and their specific positions within the cargo space. It provides customized loading recommendations for each object based on its unique properties rather than applying uniform rules, enabling effective handling of diverse objects in automobile loading.
2Measurement precision
If manual measurement and input of object dimensions is required, then measurement precision can be achieved, but the process becomes time-consuming and complex
Solution Approach 1:
The system replaces manual mechanical measurement processes with automated optical recognition technology. The optical capture apparatus automatically detects and measures object dimensions through image processing, eliminating the need for physical measurement tools and manual data entry while maintaining high measurement precision.
Solution Approach 2:
The system enables self-service measurement where the optical capture apparatus autonomously identifies objects, extracts their dimensional information, and inputs data without human intervention. The automatic object recognition and dimension determination processes allow the system to serve itself in data collection, significantly reducing time loss while preserving measurement accuracy.
3Productivity
If optimal loading arrangements are determined automatically, then loading efficiency is improved, but the system complexity increases
Solution Approach 1:
The system introduces an intermediary optical capture apparatus that bridges the gap between physical objects and the loading planning software. This intermediary device automatically captures object images, extracts dimensional data, and transmits it to the processing system, enabling automatic loading arrangement determination while managing system complexity through modular architecture.
Solution Approach 2:
The system creates digital copies of physical objects through optical imaging and three-dimensional representation. By working with these digital models rather than physical objects directly, the system can automatically determine optimal loading arrangements through computer algorithms, improving loading efficiency while keeping the physical system relatively simple.
4Reliability
If securing elements like transport nets and straps are recommended, then load security is improved, but the loading process becomes more complex
Solution Approach 1:
The system determines optimal securing element recommendations in advance during the loading planning phase, before actual loading occurs. By pre-calculating which securing elements (transport nets, straps) are needed and where they should be positioned, the system ensures load security while simplifying the actual loading process, as users can prepare securing elements beforehand rather than figuring them out during loading.
Data Source
AI summary
A method for determining a loading recommendation for a vehicle. The method involves object dimensions of objects with which the vehicle needs to be loaded being determined automatically using an optical capture apparatus, and an arrangement of the objects in a cargo space of the vehicle being determined on the basis of the object dimensions of the objects and a cargo space dimension of the cargo space. The arrangement of the objects in the cargo space is output as a loading recommendation.