Offering a solution that combines innovation, precision and adaptability in automatic inspection systems, Dimac’s new proprietary Artificial Intelligence (AI) software is redefining fastener quality control.
With the AI software, Dimac Srl enables fastener manufacturers to achieve unprecedented levels of defect detection and classification. Unlike traditional vision systems that rely on pre-set rules, Dimac’s AI software uses neural networks and advanced algorithms to analyse vast datasets of defective and non-defective fasteners.
Through this process, the software ‘learns’ to identify even subtle defects, such as surface irregularities or dimensional anomalies, that may not be apparent through standard inspection techniques. By generating new defect images based on similarity criteria, the system continuously refines its detection capabilities, enabling manufacturers to stay ‘one step ahead’ of evolving quality standards.
A key innovation is the software’s ability to autonomously generate search parameters, enabling it to adapt dynamically to different fastener types and production variables. This flexibility not only enhances detection accuracy but also reduces set-up time, making the software ideal for high-mix, high volume manufacturing environments.
Dimac’s AI software has been successfully integrated into flagship systems including the MCV6 and SPC 360°, where it drives 360° profile analysis and robotic sampling efficiently.
“With its proven ability to push the boundaries of what is possible in automated control and inspection, this software represents not just an advancement, but a new benchmark in industrial innovation,” highlights Dimac.
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