In the chemical/materials industry, the quality inspection of printed film/label rolls is crucial. With the exploration of large-scale commercial use of local large models in the field of industrial visual quality inspection, WeLinkirt's 2D AI AOI device brings a new solution to solve inspection problems.
User Scenario: A leading manufacturer in the chemical materials field needs to inspect the printing quality, character clarity, and assembly integrity of the product surface on its production line for printed film/label rolls. The inspection objects include various types of printed films and label rolls, which are widely used in packaging, labeling, and other fields.
Pain Points: Under the traditional inspection method, the manufacturer faces serious quantitative difficulties. The missed detection rate is about 1.2%, causing some defective products to enter the market and affecting the brand reputation. The false alarm rate is as high as 35%, which leads to a large number of qualified products being misjudged and requires manual re-inspection, increasing labor and time costs. At the same time, as the large-scale commercial use of local large models in the field of industrial visual quality inspection becomes a hot topic, traditional inspection methods are difficult to meet the needs of intelligence and high efficiency.
Technical Principle
WeLinkirt's 2D AI AOI device uses high-resolution 2D imaging and deep-learning secondary image judgment technology. High - resolution 2D imaging can capture the tiny details on the surface of printed film/label rolls. Its micron-level accuracy can detect defects such as tiny scratches and uneven ink. The deep-learning secondary image judgment analyzes the images using advanced algorithms. Through a large number of sample trainings, the model can accurately identify different types of defects. The semantic false-alarm filtering function is one of its core advantages. It can effectively filter false alarms based on the semantic information of defects, such as the type, location, and size of defects. For example, for false alarms caused by normal phenomena such as material texture, the system can exclude them through semantic analysis, thus greatly reducing the false-alarm rate.
- High - resolution 2D imaging: Provides clear and accurate images for subsequent analysis.
- Deep - learning secondary image judgment: Improves the accuracy of defect recognition through continuous learning and optimization.
- Semantic false-alarm filtering: Accurately excludes false alarms based on semantic information.
WeLinkirt's Solution and Product
Centered around the 2D AI AOI device, this device has the ability of high-speed online full inspection. It can comprehensively inspect printed film/label rolls without affecting the production rhythm. Its micron-level detection accuracy can meet the strict requirements of the industry. The supporting DaoAI AI AOI software system uses the feature recognition of the visual basic model. It can achieve zero-code automatic programming for a good sample in 5 minutes and supports APDT positive-sample/few-sample learning (1-20 good samples), which can quickly adapt to different product inspection needs. In the actual implementation process, the device is first installed on the production line to detect products in real-time. The software system will analyze and process the images according to the preset inspection standards and issue an alarm in time once a defect is found.
WeLinkirt's 2D AI AOI device brings an efficient solution to the inspection of printed film/label rolls in the chemical/materials industry with advanced technology.
Quantitative Results: After using WeLinkirt's 2D AI AOI device, the manufacturer has achieved remarkable results. The detection rate has increased to 98.8%, and the missed detection rate has been reduced to <0.2%, ensuring product quality. The false-alarm rate has been reduced by -65%, greatly reducing the workload of manual re-inspection. The change-over time has been shortened to 5min, improving the flexibility and efficiency of the production line.
FAQ
What types of defects can the 2D AI AOI device detect?
This device can detect planar defects such as surface defects of printed film/label rolls, printing defects, character OCR errors, and assembly omissions. With high-resolution 2D imaging and deep learning, it can achieve micron-level accuracy detection.
How does the device achieve false-alarm filtering?
Through the semantic false-alarm filtering function, false alarms are accurately analyzed and excluded based on the semantic information of defects, such as type, location, and size, effectively reducing the false-alarm rate.
Can the device quickly adapt when changing product models?
Yes. The supporting software supports zero-code automatic programming. It only takes 5 minutes to set up with one good sample. It also supports positive-sample/few-sample learning and can quickly adapt to different product inspections.