In the electronics/PCBA industry, three-proof coating coverage and foreign object detection are of great importance. WeLinkirt provides efficient and accurate detection solutions for industry customers with its advanced AI vision technology.
User Scenario: In the production line of a leading electronics/PCBA manufacturer, there is a process of detecting the three-proof coating coverage and foreign objects on various PCBA products. The three-proof coating can provide protection against moisture, dust, and corrosion for PCBA, while the presence of foreign objects may affect the performance and stability of the product. Therefore, the main detection objects are the coverage of the three-proof coating, including whether it is evenly covered and whether there is any missed coating, as well as foreign objects on the PCBA surface, such as dust and debris.
Pain Points: Traditional detection methods have many quantitative dilemmas. In terms of missed detection, manual detection and some traditional machine vision detections are difficult to identify tiny missed coating areas and small foreign objects, and the missed detection rate is as high as about 3%. The false alarm problem is also relatively serious. Due to environmental factors and some minor differences in the products themselves, the false alarm rate reaches 20%, which not only increases the re - inspection workload but also reduces production efficiency. In terms of labor cost, each production line needs to be equipped with 3 - 4 inspectors, resulting in a large labor input. Moreover, when changing product models, the reprogramming and debugging of traditional detection equipment take 2 - 3 hours, seriously affecting the production schedule.
Technical Principle
WeLinkirt uses advanced algorithms and imaging principles to solve these problems. In terms of algorithms, a deep - learning - based visual basic model is used, which has a powerful feature recognition ability. Through learning from a large number of good product samples, it can accurately identify the normal features of the three-proof coating coverage and the abnormal features of foreign objects. In terms of imaging, the self - developed 3D camera combined with 3D morphology reconstruction technology can obtain the 3D information of the PCBA surface. This is because 3D imaging can more clearly show the thickness change of the three-proof coating and the tiny undulations on the surface, which is more accurate for detecting missed coating and foreign objects. For example, for some foreign objects hidden under components, 3D imaging can observe from different angles, avoiding the blind spots of 2D imaging. In terms of hardware, high - precision sensors and a stable image acquisition system ensure the quality of image data, providing a reliable basis for subsequent algorithm analysis.
- The deep - learning algorithm can continuously learn and optimize to adapt to different products and detection requirements.
- The 3D camera and 3D morphology reconstruction technology provide more comprehensive and accurate surface information.
- High - precision hardware ensures the stability and quality of image acquisition.
- The semantic false alarm filtering function reduces false alarms caused by environmental and product differences.
- The ability of positive sample/few - sample learning reduces the dependence on a large number of samples.
WeLinkirt 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 powerful programming capabilities. It only takes 5 minutes to complete 0 - code automatic programming for a good product. At the same time, it supports APDT positive sample/few - sample learning, and only 1 - 20 good product samples are needed for effective model training. Its semantic false alarm filtering function can greatly reduce the false alarm rate. The DaoAI 2D / 3D AI AOI equipment uses a self - developed 3D camera and 3D morphology reconstruction technology, which can detect hidden solder joints, coplanarity, and micron - level morphology, and has high - precision detection capabilities for three-proof coating coverage and foreign object detection. In terms of implementation, first, sample the on - site products and use the software system for rapid programming and model training. Then deploy the equipment to the production line to detect products in real - time, and continuously optimize the model through system feedback to improve the detection effect.
WeLinkirt's AI vision technology brings an efficient and accurate solution to electronics/PCBA detection.
Quantitative Results: By applying WeLinkirt's solution, the detection effect of the manufacturer has been significantly improved. The detection rate has increased from the original 97% to 99.2%, and the missed detection rate has been reduced to <0.8%. The false alarm rate has been greatly reduced by - 70%, which significantly reduces the re - inspection workload. The product model change time has been shortened from the original 2 - 3 hours to 5min, improving the flexibility and efficiency of production.