Camera-Based Locking Device Detection for Container Loading
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Solution Overview
Problem
Current methods for detecting locking devices on movable objects, such as containers, are inefficient and unreliable, often requiring manual intervention by crane drivers, which can lead to accidents and system malfunctions due to forgotten locking mechanisms.
Innovation Solution
A method utilizing an image processing unit that evaluates camera signals to detect locking devices in a sensing region, incorporating blob analysis and difference image evaluation to identify and confirm the presence of locking devices, and outputs error messages to initiate appropriate actions, such as interrupting the loading process or documenting removals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual detection of locking devices by crane drivers is used, then the system complexity is low, but the reliability and productivity are reduced due to human error and inefficiency
Solution Approach 1:
The patent replaces manual visual inspection by crane drivers with an automated optical detection system using cameras and image processing algorithms. The camera captures images of the container locking regions, and the evaluation unit automatically analyzes these images to detect locking devices, eliminating human error and increasing reliability while maintaining manageable system complexity through standardized processing procedures.
Solution Approach 2:
The system enables self-detection of locking devices without human intervention. The camera and image processing unit automatically identify the presence or absence of locking devices on containers, allowing the system to self-monitor and self-report detection results to the control unit, thereby improving reliability through consistent automated operation.
2Productivity
If manual detection by crane drivers is used, then the device complexity is low, but the productivity is reduced due to time-consuming manual inspection
Solution Approach 1:
The manual inspection process is replaced by an automated camera-based detection system that continuously monitors locking regions during container handling operations. The image processing unit rapidly analyzes captured images to detect locking devices, significantly reducing inspection time and increasing loading productivity while the standardized evaluation algorithms keep the added system complexity manageable.
3Reliability
If automated image processing is implemented, then the reliability and productivity are improved, but the device complexity increases
Solution Approach 1:
The detection system is segmented into distinct functional modules: a camera for image capture, an image processing unit for analysis, and a control unit for decision-making. This segmentation allows each component to be optimized independently, improving overall detection reliability while managing complexity through modular architecture and specialized processing for each function.
Solution Approach 2:
The image processing unit serves as an intermediary between the camera and the control unit, translating raw image data into meaningful detection results. This intermediary layer processes and interprets visual information using standardized algorithms, improving detection accuracy while keeping the control unit's complexity manageable by providing pre-processed information.
4Difficulty of detecting and measuring
If the sensing region covers the locking region, then the detection capability is improved, but the device complexity and setup difficulty increase
Solution Approach 1:
The camera system is designed with universal sensing capabilities that can detect locking devices across different container types and positions. The evaluation unit uses standardized image processing algorithms that work universally for various locking device configurations, improving detection capability while reducing setup complexity through a one-size-fits-all approach rather than requiring custom configurations for each scenario.
Data Source
AI summary
An image-processing unit, a system, an automatic loading and/or unloading system and a method for detecting a locking device on a movable object, wherein the locking device locks a plurality of movable objects to one other and is arranged in a locking region of the movable object and the movable object is moved via a loading device, where the locking region can be sensed in a sensing region of at least one camera and an image-processing unit evaluates a signal of the camera to detect locking devices in a locking region of a movable object so as to detect locking devices efficiently and reliably.