In the electronics/PCBA industry, solder paste printing quality inspection is crucial. WeLinkirt provides efficient and accurate inspection solutions for industry customers with advanced AI vision technology.
User scenario: A leading electronics/PCBA manufacturer has a key solder paste printing process in its production line. The manufacturer produces various types of electronic products, and the inspection object is the PCB board after solder paste printing. It is necessary to detect whether the thickness, area, shape, and printing position of the solder paste meet the requirements to ensure the quality of the subsequent soldering process.
Pain points: Traditional solder paste printing quality inspection methods have many difficulties. On the one hand, the missed detection rate is relatively high, about 3.5%, which means that some PCBs with quality problems may flow into the subsequent processes, increasing the defective rate of products. On the other hand, the false alarm rate reaches 25%. A large number of false alarms not only waste manpower for re - inspection but also affect production efficiency. In addition, the solder paste printing requirements of different products are different. Traditional inspection methods are difficult to quickly change models, and the model change time is as long as 30 minutes. Moreover, a set of fixed rules is often applied, and it is impossible to automatically generate exclusive inspection standards for each product/batch, which is difficult to meet the diverse production needs.
Technical principle
WeLinkirt adopts advanced AI algorithms and self - developed 3D camera imaging technology. The AI algorithm is based on the feature recognition of the visual basic model. Through APDT positive sample/few - sample learning, it can quickly learn product features with only 1 - 20 good samples. This learning method can automatically generate exclusive inspection standards for each product/batch instead of applying fixed rules. The self - developed 3D camera can achieve three - dimensional shape reconstruction, which can detect hidden solder joints, coplanarity, and micron - level shapes. The principle is that the 3D camera can obtain the three - dimensional information of the solder paste on the PCB board. By analyzing and processing this information, it can more accurately judge the quality of the solder paste. Since the three - dimensional information contains more details, it can find more potential quality problems compared with traditional 2D detection, so it is more effective.
- The feature recognition of the visual basic model can quickly identify product features and improve the accuracy of detection.
- APDT positive sample/few - sample learning can reduce the dependence on a large number of samples and quickly adapt to the detection needs of different products.
- The three - dimensional shape reconstruction technology of the 3D camera can obtain more comprehensive solder paste information and detect hidden solder joints and micron - level shapes.
- The semantic false alarm filtering function can effectively reduce the false alarm rate and improve detection efficiency.
WeLinkirt's solution and product introduction
WeLinkirt provides the DaoAI AI AOI software system and the DaoAI 2D / 3D AI AOI equipment. The DaoAI AI AOI software system has the feature recognition ability of the visual basic model. It can realize zero - code automatic programming for a good product in 5 minutes. Through APDT positive sample/few - sample learning, it can quickly generate exclusive inspection standards for each product/batch. At the same time, its semantic false alarm filtering function can effectively reduce the false alarm rate. The DaoAI 2D / 3D AI AOI equipment uses a self - developed 3D camera, which can achieve three - dimensional shape reconstruction and detect hidden solder joints, coplanarity, and micron - level shapes. In the implementation process, first, install and debug the equipment, and then use a small number of good products for model training. The software system will automatically generate inspection standards. During the production process, the equipment conducts real - time detection on the PCB board after solder paste printing, and the software system analyzes and processes the detection results to timely discover quality problems.
WeLinkirt's AI vision technology provides a precise and efficient solution for solder paste printing quality inspection.
Quantitative results: By applying WeLinkirt's solution, the manufacturer has achieved remarkable results in solder paste printing quality inspection. The detection rate has increased to 96.5%, and the missed detection rate has been reduced to less than 3.5%, effectively reducing the situation of defective products flowing into subsequent processes. The false alarm rate has been reduced by 60%, from the original 25% to 10%, greatly reducing the workload of manual re - inspection. The model change time has been shortened from 30 minutes to 5 minutes, improving production efficiency and quickly adapting to the production needs of different products.