Industrial Truck Load Handling Control via Camera Detection
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Solution Overview
Problem
Industrial trucks face challenges in handling loads efficiently, especially in low visibility conditions and with inexperienced operators, leading to reduced handling capacity and increased operational costs due to complex and costly automation solutions.
Innovation Solution
A control method for industrial trucks using a camera, monitor, and control device for image processing and pattern recognition to detect storage positions, with operator confirmation inputs for automatic alignment and control of load handling devices, allowing for semi-automatic operation that reduces reliance on autonomous systems and enhances safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If video devices are used to record and display the area in front of the load-receiving device, then the driver's vision is improved and ergonomics are enhanced, but the handling capacity and work output remain low especially for inexperienced operators
Solution Approach 1:
The control device acts as an intermediary between the camera system and the load handling device, automatically interpreting visual information and translating it into precise control commands. This mediator function enables inexperienced operators to achieve expert-level positioning accuracy without manual intervention, resolving the contradiction between improved vision and maintained productivity.
Solution Approach 2:
The system performs self-service by automatically detecting storage positions, calculating optimal set-down positions, and controlling the load handling device without continuous human intervention. The control device independently processes camera data and executes positioning tasks, maintaining high handling capacity while reducing the skill requirement for operators.
2Productivity
If fully automated control systems are implemented for autonomous industrial trucks, then handling capacity is improved, but the system complexity and costs increase significantly
Solution Approach 1:
The system applies partial automation by focusing control functions specifically on the load handling device positioning rather than complete autonomous operation. This selective automation approach achieves high handling capacity for the critical positioning task while avoiding the complexity of fully autonomous vehicle control, hydraulic systems, and comprehensive safety monitoring.
Solution Approach 2:
The control device performs multiple functions including image processing, position detection, calculation of set-down positions, and control of load handling device movements. This multi-functionality consolidates what would otherwise require separate specialized systems, reducing overall complexity while maintaining high productivity.
3Adaptability or versatility
If inexperienced operators operate the industrial truck, then operational flexibility is improved, but the risk of accidents and damage increases
Solution Approach 1:
The system replaces the mechanical skill-based control system with an automated optical-mechanical control system. The control device uses camera-based detection and automated calculation to determine precise positioning commands, substituting operator expertise with algorithmic precision. This maintains operational flexibility for inexperienced operators while ensuring safety through consistent, error-free automated control.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method increases handling performance and reduces the risk of accidents and damage by enabling inexperienced operators to handle loads safely and efficiently, while being cost-effective and avoiding the complexity of fully autonomous systems.
Implementation Method 1
Detection of the geometry of the storage position by means of image processing methods by the control device, such as pattern or object recognition
Data Source
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AI summary
The method involves determining the geometry of the storage position by image processing method through the control device. A possible stopping position of the load (15) in the storage position is ascertained by the control device. A relative position of a load receiving unit (9) against a position of the load receiving unit in the stopping position is ascertained by the control device. A portion of the bearing position and the load are represented in the possible stopping position on the monitor. An authentication input is requested. The load is stopped in the stopping position at the storage position by automatic adjusting and alignment of the function of the load receiving unit and the driving function of the industrial truck.