Ensuring quality, while running a productive and efficient line, can be daunting. That’s why we develop complex, sophisticated, and highly-accurate automated inspection systems.
Our integrated vision systems can go into any assembly and serve your desired need through deep machine learning. As part of our reject verification system, our vision system capabilities include:
Video:
Blog:
We use cookies to improve your experience on our site. By using our site, you consent to cookies.
Manage your cookie preferences below:
Essential cookies enable basic functions and are necessary for the proper function of the website.
Google reCAPTCHA helps protect websites from spam and abuse by verifying user interactions through challenges.
Google Tag Manager simplifies the management of marketing tags on your website without code changes.
Statistics cookies collect information anonymously. This information helps us understand how visitors use our website.
Google Analytics is a powerful tool that tracks and analyzes website traffic for informed marketing decisions.
Service URL: policies.google.com (opens in a new window)
You can find more information in our .
Norwalt's automated inspection vision systems offer a comprehensive suite of capabilities designed to meticulously scrutinize products and ensure adherence to stringent quality standards. These advanced systems go beyond basic visual checks, employing sophisticated algorithms and hardware to identify even the most subtle imperfections.
Key functionalities include precise defect detection, AI-assisted inspection leveraging deep learning for complex pattern recognition, and detailed 3D inspection to assess form and dimension. Furthermore, the systems excel at reading 1D and 2D barcodes, verifying fill heights, confirming product shapes, and performing cosmetic label and assembly inspections, all contributing to a robust quality control process.
The integration of Artificial Intelligence, particularly deep learning, revolutionizes defect detection by enabling systems to learn and identify anomalies that might be missed by traditional methods. This AI-driven approach allows for the recognition of nuanced defect types and variations across different product batches.
AI-assisted inspection excels in identifying issues such as missing material, liner defects on closures, and subtle cosmetic imperfections. By continuously learning from new data, these systems improve their accuracy over time, providing manufacturers with reliable and efficient quality assurance, thereby reducing waste and enhancing customer satisfaction.
Beyond two-dimensional analysis, Norwalt's vision systems incorporate advanced 3D inspection capabilities. This technology allows for the precise measurement and verification of product geometry, depth, and volume, crucial for ensuring components fit correctly and meet dimensional tolerances.
3D inspection is particularly valuable for tasks like ovality measurement, post-mold inspection of intricate parts, and verifying the overall shape integrity of products. This detailed spatial analysis ensures that every manufactured item conforms to its intended design specifications, preventing costly errors and rework.