In the pharmaceutical industry, the accuracy of label information is crucial for medication safety and compliance. Traditional quality inspection methods struggle to meet the needs of high-speed production. WeLinkirt's 2D AI AOI equipment offers a solution to this challenge.
User scenario: A leading pharmaceutical manufacturer needs to inspect the OCR text, serial numbers and other information on the drug labels during the labeling process of the drug packaging production line. As an important carrier of drug information, the accuracy of the label content is directly related to the safety and compliance of drug use. Therefore, the inspection of label information is a key link in the drug production process.
Pain points: The traditional manual inspection method is inefficient, with high labor costs, and is prone to missed inspections and misjudgments. The missed inspection rate can reach about 2%. Meanwhile, manual inspection is difficult to adapt to the rhythm of the high-speed production line, with slow inspection speed, which affects production efficiency. In the general trend of industrial AI controllers helping industrial vision quality inspection achieve productivity leap, the traditional inspection method is obviously lagging behind and cannot meet the enterprise's demand for improving production efficiency and quality. In addition, with the increasingly strict regulations in the pharmaceutical industry, the requirements for the accuracy and traceability of label information are getting higher and higher, and the traditional inspection method is difficult to ensure compliance.
Technical principle
The 2D AI AOI equipment adopts high-resolution 2D imaging technology, which can clearly capture the text and serial number information on the pharmaceutical labels. Its imaging principle is based on an advanced optical system and image sensor, which can present the tiny characters and patterns on the label in high resolution. In terms of image processing, the equipment uses a deep-learning secondary image-judging algorithm. Through learning a large number of positive samples, this algorithm can accurately identify various characters and symbols on the label, and can filter false alarms according to semantic information. For example, when the detected characters do not match the preset template semantically, the algorithm will automatically judge it as a false alarm, thus greatly reducing the false alarm rate. This is because the deep-learning algorithm has strong feature extraction and classification capabilities, which can extract meaningful information from complex images and make accurate judgments.
- High - resolution 2D imaging: Use advanced optical systems and image sensors to obtain clear and high-resolution label images.
- Deep - learning secondary image-judging: Learn from a large number of positive samples to accurately identify characters and symbols, and filter false alarms according to semantic information.
- Micron - level accuracy: It can detect tiny defects and character differences on the label to ensure the accuracy of inspection.
- High - speed online full inspection: Adapt to the rhythm of the high-speed production line to achieve real-time and comprehensive inspection of label information.
WeLinkirt's solution and product
WeLinkirt provides a complete solution for the pharmaceutical manufacturer with the 2D AI AOI equipment as the core. This equipment has the ability of high-speed online full inspection and can comprehensively inspect pharmaceutical labels with micron-level accuracy. During the inspection process, the equipment obtains label images through high-resolution 2D imaging technology, and then uses the DaoAI AI AOI software system for image processing and analysis. The software system uses the feature recognition of the visual basic model, which can achieve zero-code automatic programming within 5 minutes for a good sample, and supports APDT positive-sample/few-sample learning (1-20 good samples), greatly improving programming efficiency and inspection accuracy. At the same time, the semantic false-alarm filtering function further reduces the false-alarm rate and ensures the reliability of inspection results.
The 2D AI AOI equipment provides an efficient and accurate solution for pharmaceutical label inspection with its advanced technology and powerful functions.
Quantitative results: After using the 2D AI AOI equipment, the pharmaceutical manufacturer's label information detection rate reached 99.2%, and the missed-inspection rate was reduced to <0.8%, greatly improving the inspection accuracy. At the same time, the false-alarm rate was reduced by -65%, reducing unnecessary reinspection work and improving production efficiency. In addition, the rapid change-over function of the equipment shortens the change-over time to 5min, which can better meet the inspection requirements of pharmaceutical labels of different specifications.
FAQ
What types of label defects can the 2D AI AOI equipment detect?
This equipment can detect planar defects such as surface defects, printing defects, character OCR errors, and assembly omissions. It can accurately identify errors and omissions of text and serial numbers on labels.
Is the programming complex after using this equipment?
No, it isn't. With the DaoAI AI AOI software system, zero-code automatic programming can be achieved within 5 minutes for a good sample, and it also supports positive-sample/few-sample learning with 1-20 good samples.
To what extent can the false-alarm rate of the equipment be reduced?
Through deep-learning secondary image-judging and semantic false-alarm filtering, the false-alarm rate can be reduced by -65%, effectively reducing unnecessary reinspection work.