Autonomous Luggage Delivery Verification Using User Behavior Imaging
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Solution Overview
Problem
Current autonomous luggage delivery systems face challenges in verifying the normal completion of luggage delivery and lack sufficient convenience in managing the process.
Innovation Solution
A management device and transportation system that includes an imaging part to capture images of users unloading luggage, determining delivery completion based on user behavior, and a remote control system to manage the operation of luggage transporting vehicles, which can request door closure and assign rewards for proper closure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If an autonomous luggage transporting vehicle is used, then productivity is improved, but reliability deteriorates because it is difficult to check whether delivery has been completed normally
Solution Approach 1:
The system implements feedback by capturing images of the user and luggage at delivery, transmitting them to a management device, and automatically determining delivery completion based on image analysis. This closed-loop feedback mechanism verifies delivery completion remotely, resolving the reliability issue while maintaining autonomous operation and high productivity.
Solution Approach 2:
The patent introduces an intermediary verification system consisting of imaging devices and management devices that act as mediators between the autonomous vehicle and the delivery completion confirmation. These intermediaries enable remote verification without requiring human presence at the delivery location, thus maintaining both productivity and reliability.
2Ease of operation
If the door part is opened for luggage unloading, then ease of operation is improved, but object-generated harmful factors worsen because the door may remain open causing safety issues
Solution Approach 1:
The system uses imaging devices to continuously monitor the door state and user behavior. When the door is opened for unloading, the system captures images and determines whether the user has properly closed the door afterward. This feedback mechanism ensures safety by detecting open door conditions and tracking closure, while maintaining ease of operation during the unloading process.
Solution Approach 2:
The system implements self-service by automatically monitoring and determining door closure status through imaging and image analysis, without requiring manual intervention. The management device autonomously verifies whether the door has been closed, reducing the burden on users while ensuring safety compliance.
3Measurement precision
If image analysis is used to verify delivery completion, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary management device that handles the complex image processing and analysis tasks. Rather than embedding complex analysis systems in the autonomous vehicle itself, the management device acts as a centralized intermediary that receives images, performs analysis, and determines delivery completion. This distributes complexity to a dedicated system, maintaining measurement precision while managing device complexity.
Data Source
AI summary
A management device is configured to manage an operation of a luggage transporting vehicle, the luggage transporting vehicle being configured to autonomously travel a road without a driver being aboard and including a luggage containment part which is shielded by a door part that is able to be opened and closed, the management device including: an acquisition part configured to acquire a first image obtained by imaging a user who unloads luggage from the containment part; and a determination part configured to determine whether delivery of the luggage contained in the containment part has been completed normally on the basis of a result obtained by monitoring a behavior of the user based on the first image.