The plastic packaging industry faces ever-growing challenges in terms of product quality and efficiency. As a leading provider of vision systems for quality control, INTRAVIS harnesses the transformative power of Artificial Intelligence (AI) and Deep Learning to meet these challenges and set new standards in the industry.
 |
|
AI in Vision Inspection: Pioneering Advancements at INTRAVIS |
The Power of AI in Vision Inspection
AI and Deep Learning have fundamentally changed the landscape of quality assurance. These technologies enable:
• Automated Defect Detection: Using neural networks even the smallest defects can be detected with high precision.
• Anomaly Detection: AI systems identify not only predefined patterns but also unexpected deviations from the normal state.
• Adaptive Learning: The models adapt to varying production conditions, ensuring consistent quality control.
INTRAVIS: Pioneer in AI-Powered Quality Control
INTRAVIS has established itself as a frontrunner in integrating AI technologies into vision inspection systems. In fact, INTRAVIS uses the first AI algorithms in a system over 10 years ago, long before AI was a hot topic. Over the years, the company has gained experience that it has been able to use for new solutions in the areas it serves.
For instance, the IMLWatcher uses AI to precisely inspect transparent in-mold labels for deviations, while the SleeveWatcher ensures higher robustness in sleeve label inspection through anomaly detection. Additionally, the newly developed software for the Tethered Caps inspection enables efficient detection of closure defects, even with complex designs. And for the PreMon, the preform detection is optimized through using neural networks, which significantly simplifies the setup of new products.
 |
|
As experts in vision inspection INTRAVIS balances AI & traditional solutions for ideal inspection results |
The INTRAVIS Advantage
At INTRAVIS team has over 30 years of experience in vision inspection. And because they have been using modules with artificial intelligence in their systems for over 10 years, they know that AI cannot be the standard answer for everything in the future. That's why they provide their customers with specific and targeted advice for their projects and only use AI where it offers real added value – and not just because it sounds good.
One example? The use of AI algorithms can mean that the processing of image data takes significantly longer than with conventional, experienced methods. Especially with high-performance systems, where up to 80 objects per second are inspected for more than 20 criteria, the integrated industrial PC can sometimes reach its limits. Here, it is important to weigh up very carefully whether the performance losses resulting from the use of AI are actually outweighed by the added value provided. When making this decision, it's good to have an experienced partner like INTRAVIS at your side to provide you with comprehensive advice.
So why is INTRAVIS using AI?
By employing AI and Deep Learning in the vision systems, INTRAVIS pushes the standards in quality control for plastic packaging to new limits. These technologies not only enable more precise and efficient inspections but also proactive quality assurance that detects errors before they occur (which, by the way, is INTRAVIS slogan for many years). With INTRAVIS as a partner, companies in the plastic packaging industry can be confident that they are benefiting from the latest developments in AI-powered quality control while relying on proven expertise and reliable solutions.
