The variable information detection system is mainly used to detect the quality of variable information on carriers such as printed materials, labels, or display screens, such as barcodes, QR codes, numbers, characters, etc. The system is capable of real-time and accurate identification and verification of this information during high-speed printing processes, ensuring the correctness and completeness of data, thereby improving production efficiency and product quality.
Variable information detection systems are typically equipped with high-resolution cameras and image processing algorithms, which can quickly capture and analyze variable information on printed materials or displays. By comparing with preset data, the system can promptly detect and report errors, duplicates, missing or unrecognizable information, thereby avoiding the occurrence of quality problems.
In the high-speed printing process, due to the fast movement speed of the printed matter, the human eye cannot directly see the details of the printed matter. Operators find it difficult to analyze and judge the variable data quality of the printed matter without stopping the machine, resulting in defects that cannot be detected and corrected in a timely manner during the printing process, leading to a large amount of waste of printing paper and affecting the quality and cost of printed products. The variable information detection system can identify and verify this information in real-time and accurately, ensuring the correctness and integrity of the data, thereby improving production efficiency and product quality.
Main functions and application scenarios
Variable information recognition: The system can accurately recognize various types of variable information, including one-dimensional barcodes, two-dimensional barcodes, numbers, characters, etc.
Quality inspection: By comparing the identified information with preset data, the system can detect and report quality issues such as incorrect codes, duplicate codes, missing codes, and bad codes.
Defect handling: Based on the detection results, the system can trigger sound and light alarms, shutdown signals, etc., to remind operators to handle quality issues in a timely manner. At the same time, the system also supports multiple defect handling methods, such as real-time rejection, shutdown control, spraying, scraping, labeling, etc.
Data traceability: The system can store detection data in real-time, support traceability queries, and facilitate quality analysis and improvement for users.