Product testing is an indispensable procedure in the production and manufacturing process. The product qualification rate is not only the guarantee of product quality, but also the necessary condition for enterprise word-of-mouth publicity. Nowadays, the market has high standards and strict requirements for food health and safety, and human eye detection is far from reaching. At this time, machine vision detection system needs to be used for visual detection.
How does the machine vision inspection system detect on the automatic packaging assembly line? Common visual inspection contents of food packaging assembly line include: two-dimensional code inspection, production date warranty period inspection, bar code inspection, etc. with the increasingly high requirements of the food packaging industry, the most important point is to realize the traceability of product information. All these need machine vision inspection system to complete.
At present, most food production enterprises use ink-jet printer or laser printer to print production date and other information. Although the flexibility of the ink-jet printer is relatively high, it is prone to poor printing, such as skew, blurred and incomplete printing; The application of laser printing is relatively not so extensive, but it is easy to have defects such as printing overlap and missed printing. For these problems, if manual detection is used, there will be a large workload and the detection speed cannot be improved.
Generally, the printing inspection and imaging quality of machine vision system has high requirements. To enable the vision system to correctly judge and make decisions, the following five requirements must be met:
1. The camera should have sufficient resolution, that is, the tiny details on the printed product package can be clearly reproduced;
2. First, the quality of the original image information should be high;
3. The camera shall have sufficient dynamic range, that is, the bright and dark parts on the printed matter can be accurately reflected;
4. The reading speed of the camera shall be consistent with the forward speed of the printed matter to ensure sufficient accuracy and 100% acquisition.
5. The camera shall be able to truly reproduce the color of the printed matter;
For the detection of machine vision defects, images are collected first. There are two methods of collection: offline and online. Offline means that the images stored in the folder are taken in advance. Online collection means that the camera is connected to collect images in real time. Then add a positioning tool to train the model that needs to be positioned, and train the bottle cap as a positioning model for pattern positioning. Then add a contrast tool, select the detection area, and set the upper and lower limits. If the contrast is within the range, it is OK, otherwise it is ng.
Unlike manual inspectors, we can apply numerical values to each defect, quantify these defects according to size, shape, position, frequency and incidence, create trend analysis data, and enable the production department to fine tune the process, so as to improve product quality and production efficiency.
With the increasingly high quality standards of the food industry and the requirements of laws and regulations, not only the defects, characters and spray codes need to be strictly tested, but also the reading and verification of bar codes and two-dimensional codes have become increasingly important in many testing processes.
Based on years of industry experience, Shandong Hongbao Automation Co., Ltd. has served many well-known enterprises. Through the field application of machine vision detection system, it can not only monitor the production quality of products in real time and improve the production efficiency, but also greatly save labor costs. It is the best choice for manufacturing enterprises. Welcome to call for consultation.