Uploaded February 2023 | Updated September 2026, 1 hour ago
No defective weld seam may leave production: This is an irrevocable law in the series production of safety-relevant vehicle parts. Therefore, it is urgently important to optimize the welding process with Big Data. How can this be ensured?
VITRONIC's Weldloop software integrates weld inspection data with process data from the welding line. This makes it easier to identify causes of defective seams and optimize welding processes. The latest version of the solution has been enhanced with additional evaluations, visualizations and tools. They make it easier to analyze data and eliminate the sources of defects - and save valuable time in production.
Optimizing welding processes to avoid scrap
In the production of body parts or axles for vehicles, every single weld seam must be inspected: there can be no compromises when it comes to safety. Automated inspection systems use image processing to reliably find all defects and document the inspection results. The non-OK parts are rejected and reworked.
Every welding defect costs unnecessary time and money. Vehicle manufacturers have to work efficiently. Detecting defective parts before delivery is not enough. The aim must be to avoid defects and rejects from the outset if possible - by quickly finding and eliminating sources of error. In this way, welding processes can be made progressively more stable and reliable.
💡 More about Weldloop: vitronic.com/en-us/welding-process-optimization-weldloop
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Website: vitronic.com/en-us/corporate-home
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Weldloop – Optimize your automated welding process by linking process and inspection data | VITRONIC
No defective weld seam may leave production: This is an irrevocable law in the series production of safety-relevant vehicle parts. Therefore, it is urgently important to optimize the welding process with Big Data. How can this be ensured?
VITRONIC's Weldloop software integrates weld inspection data with process data from the welding line. This makes it easier to identify causes of defective seams and optimize welding processes. The latest version of the solution has been enhanced with additional evaluations, visualizations and tools. They make it easier to analyze data and eliminate the sources of defects - and save valuable time in production.
Optimizing welding processes to avoid scrap
In the production of body parts or axles for vehicles, every single weld seam must be inspected: there can be no compromises when it comes to safety. Automated inspection systems use image processing to reliably find all defects and document the inspection results. The non-OK parts are rejected and reworked.
Every welding defect costs unnecessary time and money. Vehicle manufacturers have to work efficiently. Detecting defective parts before delivery is not enough. The aim must be to avoid defects and rejects from the outset if possible - by quickly finding and eliminating sources of error. In this way, welding processes can be made progressively more stable and reliable.
💡 More about Weldloop: vitronic.com/en-us/welding-process-optimization-weldloop
__________________________
📨 Sign up for our newsletter to receive special news and insights about VITRONIC and our solutions: vitronic.com/en-us/newsletter-signup
Did you like this video? Subscribe to our channel and press the notification bell to never miss a new video!
__________________________
Follow us! 🔗
Instagram: instagram.com/vitronic
LinkedIn: linkedin.com/company/vitronic-dr--ing-stein-bildverarbeitungssysteme-gmbh
Website: vitronic.com/en-us/corporate-home
__________________________
Weldloop – Optimize your automated welding process by linking process and inspection data | VITRONIC
