Check Neck is an inspection system that uses neural networks to detect breaks, microcracks and damage to the mouths and edges of bottles and glass-type products, ensuring accurate and reliable control even on high-speed lines.
Bottling
Check Neck is an advanced inspection solution designed to analyse the mouth and upper edge of glass bottles and glass-like products with maximum precision.
Thanks to the integration of neural networks and artificial vision algorithms, the system is capable of detecting breaks, microcracks, chips, deformations and any damage that could compromise the safety of the container or the correct application of the closure. Neural networks enable continuous learning based on thousands of images, improving the system's ability to identify defects over time, even under changing conditions, material variations or complex imperfections. This provides a level of reliability and sensitivity far superior to traditional inspection methods.
Check Neck integrates easily into high-speed lines, ensuring comprehensive control without slowing down production. Its ability to offer robust, fast and adaptable inspection makes it an essential tool for sectors such as beverages, food, cosmetics and pharmaceuticals, where packaging quality is critical. With this solution, manufacturers can ensure early defect detection, reduce final rejects, minimise risks and guarantee maximum safety of the final product.
Precise quality control and reliable inspection of bottle necks and mouths.
Suitable for multiple bottle formats.
Our solution works with Unsupervised Neural Networks, simplifying programming by eliminating the need to manually label good and bad images. The system trains itself using samples of ‘good’ products, learning the pattern of normality and automatically discarding ‘bad’ pieces.
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