Multi Model Registration for Laser Marking Alignment
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Solution Overview
Problem
Existing methods for laser marking, such as intelligent mark positioning (IMP), are limited to workpieces with visible fiducial features within the camera's field of view and cannot accurately mark featureless or large parts without a centrally located fiducial feature, leading to inaccuracies and limitations in alignment.
Innovation Solution
The multi-model registration (MMR) process combines multiple 2D vision models to accurately guide a laser for marking, eliminating the need for fixturing and centrally located fiducial features, and allowing alignment based on multiple features, even if they are outside the camera's view.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If single model registration (SMR) is used with a centrally-located fiducial feature, then alignment accuracy is improved, but the method becomes inapplicable to featureless or large parts without such a feature
Solution Approach 1:
The patent divides the workpiece into multiple regions, each with its own vision model, rather than relying on a single central fiducial feature. Multiple fiducial features are distributed across different regions of the workpiece, allowing the system to handle featureless or large parts by segmenting the alignment task across multiple local models.
Solution Approach 2:
The patent transitions from 2D image-based alignment to 3D point cloud-based alignment. By capturing three-dimensional data and creating vision models in 3D space, the system can accurately register workpieces without requiring centrally-located fiducial features, as the 3D spatial relationships between multiple distributed features provide sufficient constraint information.
2Adaptability or versatility
If multiple vision models are combined for multi-model registration, then adaptability to featureless or large parts is improved, but computational complexity increases
Solution Approach 1:
The patent performs preliminary registration of individual vision models to a common coordinate system before final alignment. Each local vision model is pre-registered using its own fiducial features and transformation matrices, establishing preliminary spatial relationships. This preliminary action reduces the complexity of the final multi-model registration by breaking down the complex global alignment problem into simpler local registration tasks.
Solution Approach 2:
The patent introduces a common coordinate system as an intermediary framework that mediates between multiple local vision models. Each vision model is transformed into this common coordinate system using transformation matrices, allowing seamless integration and alignment of multiple models without direct complex interactions between them. This intermediary coordinate system simplifies the computational complexity of multi-model registration.
3Stability of the object's composition
If fixturing is used to ensure workpiece positioning, then positioning stability is improved, but the method requires additional equipment and setup time
Solution Approach 1:
The patent enables the workpiece to self-position through its own fiducial features and geometric characteristics. The vision system captures the workpiece in its natural state on the work surface, detects fiducial features directly on the workpiece, and automatically computes alignment transformations. This self-service approach eliminates the need for external fixturing equipment, as the workpiece's own features provide the necessary positioning information.
Solution Approach 2:
The patent replaces mechanical fixturing systems with an optical-vision-based positioning system. Instead of using physical fixtures to constrain and position the workpiece mechanically, the system uses cameras or laser scanners to capture visual data, processes the data to identify fiducial features, and computes alignment through software algorithms. This substitution of mechanical systems with optical and computational methods eliminates the need for fixturing equipment while maintaining positioning stability.
Data Source
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AI summary
A pusher merchandising system adapted to be attached to a shelf for displaying merchandise items at a forward edge of the shelf comprising a shelf attachment portion that is shaped and configured to attach to a forward edge of a merchandise shelf. The system comprises an attachment section to be mounted on the front edge of a shelf surface, a number of tracks including pusher biased toward the front of the shelf, and divider portions that separate the chutes for retaining products for sale. The end of shelf dividers include a wall that can be flush or immediately adjacent the shelf supports at the end of a shelf, and have attachment mechanisms at either the back or front end, making them universally attachable in different orientations to either a left or right end of shelf configuration. The attachment of the tracks and dividers to the attachment portion comprise opposed triangular teeth or other appropriate retention means at a proximal end of the portion, and a cutout in the base removed from the proximal end that attaches when the portions is depressed toward the surface, which locks the portion in place until it is removed by pivoting the portion away from the shelf surface.