Method for gripping textile items
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Solution Overview
Problem
Existing methods for automatically gripping textile items in laundries are unreliable due to the unpredictable orientation of suspended items, which can lead to incorrect identification of gripping locations by image-generating installations.
Innovation Solution
The method employs multiple image-generating installations positioned around the textile item to detect the gripping location from various angles, ensuring accurate detection and reliable gripping by a handling installation, with data from these installations used to control the movement of the holding means to the optimal gripping position.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single image-generating installation is used to detect the gripping location, then the device complexity is low, but the reliability of gripping is insufficient due to unpredictable textile item orientation
Solution Approach 1:
The system divides the detection task into multiple independent image-generating installations (cameras) positioned at different locations. Each camera captures the textile item from its own perspective, and the evaluation unit processes each image separately to determine gripping parameters. This segmentation allows the system to handle unpredictable orientations reliably by having multiple viewing angles available.
2Measurement precision
If multiple image-generating installations are used to detect from different angles, then the measurement precision of gripping location improves, but the device complexity increases
Solution Approach 1:
The system transitions from single-point detection to multi-dimensional detection by positioning image-generating installations at different spatial locations and angles. This creates a three-dimensional detection network that can accurately determine gripping parameters regardless of the textile item's orientation in space, effectively adding spatial dimensions to the measurement capability.
Solution Approach 2:
An evaluation unit is introduced as an intermediary that receives images from multiple image-generating installations, processes the data, and determines the optimal gripping parameters. This intermediary consolidates the complex processing of multiple image streams into a single coordinated decision-making component, managing the complexity of the multi-camera system.
3Adaptability or versatility
If the textile item is suspended in a non-controlled manner, then the handling installation can process various orientations, but the image-generating installation cannot reliably identify the gripping location
Solution Approach 1:
The system performs preliminary detection and analysis of the textile item's orientation and characteristics using multiple image-generating installations before the gripping action occurs. The evaluation unit pre-calculates the optimal gripping parameters based on the captured images, allowing the holding means to be precisely positioned and oriented for reliable gripping regardless of the item's initial suspended orientation.
Data Source
AI summary
Laundry pieces are to be gripped at various locations in laundries. This is labor-intensive. For this purpose, efforts are being made toward automating the gripping of laundry pieces. A camera has previously been used for this purpose. The automatic gripping of laundry pieces is implemented by way of a plurality of cameras, in that a plurality of cameras simultaneously record image data of respective laundry pieces to be gripped. On account thereof, the cameras always provide exploitable image data of the relevant laundry piece even when one camera is momentarily obscured, for example, or is defective or the viewing direction of a camera is not directed toward the face of the laundry piece. Image data of the laundry piece can always be generated by virtue of the plurality of cameras, said image data enabling a handling installation to automatically grip the laundry piece in a reliable manner.