Trailer Cargo Space Estimation via Image Analysis
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Solution Overview
Problem
Current cargo shipping systems face inefficiencies in managing available space within trailers during less than full load (LTL) shipments, leading to shipping delays and increased costs due to inaccuracies in space measurement and sub-optimal loading configurations.
Innovation Solution
The implementation of image capture devices and processors that analyze images of trailer interiors and cargo items to determine available space, generate loading plans, and adjust routes in real-time, allowing for efficient distribution and cross-docking of cargo, while detecting anomalous loading/unloading events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If image capture devices and processors are implemented to analyze trailer interiors in real-time, then space utilization efficiency is improved, but device complexity increases
Solution Approach 1:
The patent replaces manual space measurement and loading planning methods with an automated image-based system. Image capture devices (cameras) and image processors substitute for human operators who would traditionally measure cargo spaces and create loading plans, transforming a manual mechanical process into an automated optical-digital system that captures images, processes them to identify available spaces, and generates loading plans automatically.
Solution Approach 2:
The system enables the trailer loading process to be self-managing through automated image analysis. The image capture devices continuously monitor the trailer interior, and the image processors automatically identify available cargo spaces and update loading plans without requiring constant human intervention. The system serves itself by autonomously tracking space utilization and adjusting loading strategies based on real-time image data.
2Loss of time
If dynamic route adjustment is implemented based on real-time space analysis, then shipping time is reduced, but measurement precision requirements increase
Solution Approach 1:
The patent implements a feedback mechanism where image capture devices continuously provide real-time data about available cargo spaces, and the image processors analyze this data to update loading plans and route decisions. The system uses the captured images as feedback to dynamically adjust loading strategies and route selections, creating a closed-loop control system that adapts to changing conditions during transit.
Solution Approach 2:
The system performs preliminary analysis of available cargo spaces using image capture devices before finalizing loading decisions and route selections. By analyzing images in advance and predicting suitable loading configurations, the system prepares multiple potential loading plans and route options, allowing for rapid decision-making when dynamic adjustments are needed during transit.
Data Source
AI summary
A system for use with a vehicle comprising a tractor and a trailer includes one or more image capture devices. The one or more image capture devices capture images of the interior of a trailer and/or cargo items of the trailer. An image processor estimates available cargo space within the trailer based on the captured images.