In electronic production, the coplanarity inspection of pin headers/connectors is of great importance. WeLinkirt's AI vision technology provides an effective solution to relevant inspection problems.
User Scenario: On the PCBA production line of a leading electronics manufacturer, the coplanarity inspection of pin headers/connectors in various electronic products is a crucial process. As important components for signal transmission and power supply in electronic devices, the coplanarity of pin headers/connectors directly affects the performance and stability of the devices, so high - precision inspection is required.
Pain Points: Traditional inspection methods have many problems. In terms of missed detection, due to factors such as fatigue in manual inspection, the missed detection rate reaches about <0.6%. This means that some unqualified products may enter the market, affecting product quality and brand reputation. In terms of false alarms, the false alarm rate of traditional machine vision inspection is as high as about 30%. This not only increases the re - inspection workload but also reduces production efficiency. In addition, when changing production models, it takes about 30 minutes to adjust the inspection parameters in the traditional way, which seriously affects the flexibility and efficiency of production.
Technical Principles
WeLinkirt uses advanced AI algorithms and self - developed imaging technology to solve the coplanarity inspection problem of pin headers/connectors. Its visual basic model has a powerful feature recognition ability and can accurately identify the features of pin headers/connectors. Through the APDT positive sample/few - sample learning algorithm, only 1 - 20 good samples are needed to quickly learn the normal features of the products. In terms of imaging, the self - developed 3D camera can obtain the three - dimensional morphology information of pin headers/connectors. Combined with the three - dimensional morphology reconstruction technology, it can accurately present the surface shape. This method is effective because 3D information can reflect the real shape of an object more than 2D information and can detect coplanarity problems more comprehensively. At the same time, the learning ability of the AI algorithm enables the system to adapt to different types of pin headers/connectors, improving the accuracy and universality of the inspection.
- The visual basic model accurately identifies features, providing a basis for inspection.
- The APDT few - sample learning algorithm reduces sample dependence and quickly adapts to new product types.
- The self - developed 3D camera obtains the three - dimensional morphology and accurately presents the object surface in combination with the reconstruction technology.
- 3D information reflects the object shape more comprehensively, improving inspection accuracy.
- The learning ability of the AI algorithm enhances the system's universality.
WeLinkirt's Solutions and Product Introduction
WeLinkirt provides a complete set of solutions, involving the DaoAI AI AOI software system and DaoAI 2D / 3D AI AOI equipment. The DaoAI AI AOI software system uses the feature recognition of the visual basic model and the APDT positive sample/few - sample learning ability. It can complete zero - code automatic programming in 5 minutes with one good product and has the semantic false - alarm filtering function, which can effectively reduce the false - alarm rate. The self - developed 3D camera of the DaoAI 2D / 3D AI AOI equipment performs three - dimensional morphology reconstruction, which can detect hidden solder joints, coplanarity, and micron - level morphology. In the implementation process, the software system is first used for rapid programming and learning of products, and then high - precision inspection is carried out through the AOI equipment, realizing an efficient and accurate inspection process.
WeLinkirt's AI vision technology provides an efficient and accurate solution for the coplanarity inspection of pin headers/connectors in the electronics industry.
Quantitative Results: By applying WeLinkirt's solutions, the detection rate has been increased to about 99.4%, greatly reducing the risk of missed - detected products entering the market. The false - alarm rate has been reduced by about - 63%, effectively reducing the re - inspection workload and improving production efficiency. The model - change time has been shortened from the original 30 minutes to 5 minutes, significantly improving the flexibility and efficiency of production.