What is the content of machine vision inspection?

 Machine vision inspection is mainly used in some dangerous working environments that are not suitable for manual work or in situations where artificial vision cannot meet the requirements. Machine vision is often used to replace artificial vision. At the same time, in the process of mass industrial production, artificial vision is used to inspect product quality and efficiency. Low and low precision, using machine vision inspection methods can greatly improve production efficiency and production automation. Moreover, machine vision is easy to realize information integration and is the basic technology for realizing computer integrated manufacturing.

So what are the contents of the machine vision inspection project? Such as the following list:

1. Full bottle inspection: appropriate filling amount; presence or absence of cap, height, color, whether it is skewed; presence or absence of label, location and identification.

2. Internal inspection of packaging: correctness of product presence, placement, direction, counting and capping.

3. Packing external inspection: box decoration, ID and capping position; printing product code and date/batch number

4. Correct cover position detection: cover detection: presence or absence, height, inclination, color, safety belt integrity

5. Product ID verification: Ensure that the ID code for any product is present, readable, and correct.

6. Bottleneck measurement: edge to edge, height and thread width) Detect the width (E – edge to edge), height (H) and thread width (T) of the glass bottleneck.

7. Flatness detection: Check whether hair, silk threads or wavy flat surfaces appear on the top of the container due to uneven cutting during the fine-tuning process.

8. Contaminant detection: Detect any defects on the side walls of the container, including dust, scratches, stains, and built-in or surface particulate matter accumulated during the injection molding process. 

9. Broken Top Detection: Verify that the top of the glass container is free of holes, chips, missing glass and debris. The presence of softwood can also be determined.

10. Other detection: barcode/QR code verification, label control number (LCN) verification, tilted label detection,

Corner label detection, label presence check, etc.