The vision level is the integral solution for the level and cap control for high productivity bottling lines. Visiolevel is a High-Speed vision Inspection with one or more Camera Views. The system snaps an image of neck and closure as bottles pass through the inspection tunnel.
Complete turnkey installation for inspection of:
Fill level - Overfill/ Underfill/ No fill
Closure - Missing closure, Closure height, Cap thread definition, Wrong closure
Wraparound label - Missing label, Flagging label
The process of detecting bottle caps defects
Data Monsters provide high-performance computer vision solutions that can be integrated into production lines to inspect bottle caps. The solutions use cameras to capture high-resolution images of bottles as they move along the conveyor belt and machine learning algorithms to detect bottle caps defects.
The algorithm of detecting bottle cap defects includes the following steps:
Image acquisition (industrial cameras take high-speed images of moving bottles of various shapes and designs and pass them to the pipeline);
Pre-processing. This step includes noise removal, contrast enhancement, lighting conditions normalization and so on;
Object detection and segmentation. The bottles are detected on the image and segmented;
Feature extraction. Usually the shape, texture and color of bottle caps are extracted in this step;
Defect detection. The extracted features are used to detect abnormalities. Texture inspection allows to detect surface defects like cracks, dents, and scratches. By comparing inspected cap shape against a standard shape, it is possible to identify deformations. Also, to detect defects the algorithm compares the color of the cap against a standard color.
