In the electronics manufacturing industry, the problems of missing components and incorrect connector installation in the PCBA assembly process seriously affect product quality and production efficiency. WeLinkirt's AI vision inspection solution provides an effective way to solve this problem.
User scenario: A leading electronics/PCBA manufacturer's PCBA assembly line, which mainly produces printed circuit board assemblies for various electronic products. The inspection objects are whether there are missing components on the PCBA and whether the connectors are installed correctly, including the direction and position of the connectors.
Pain points: Traditional inspection methods have many problems. In terms of missed detections, manual inspection is prone to fatigue, resulting in a missed detection rate of about 3% for missing components and incorrect connector installation. This means that for every 100 products produced, about 3 may have quality problems and flow into the market. The false alarm rate is also relatively high, about 20%. A large number of false alarms disperse the limited re - inspection resources, increasing the workload and cost of manual re - inspection. In addition, when changing the production line model, the programming and debugging time of traditional inspection equipment is relatively long, about 30 minutes, which seriously affects production efficiency.
Technical Principle
WeLinkirt's AI vision inspection solution is based on advanced algorithms and imaging technologies. In terms of algorithms, it uses the feature recognition technology of the visual basic model, which can accurately identify the features of electronic components and connectors on the PCBA. Through APDT positive sample/few - sample learning, only 1 - 20 good samples are needed for the model to learn the correct features of components and connectors. In terms of imaging, the self - developed 3D camera of the DaoAI 2D/3D AI AOI device combined with the three - dimensional topography reconstruction technology can obtain the three - dimensional information of the PCBA. It can not only detect surface components but also hidden solder joints, coplanarity, and micrometer - level topography. It can also conduct a more comprehensive inspection of the connector installation. This technology is effective because it can analyze the PCBA from multiple dimensions and continuously optimize the model using deep learning algorithms to improve the accuracy and reliability of detection.
- The feature recognition technology of the visual basic model can quickly and accurately identify the features of components and connectors.
- APDT positive sample/few - sample learning reduces the workload of sample collection and improves the efficiency of model training.
- The 3D camera and three - dimensional topography reconstruction technology provide more comprehensive detection information, which helps to find hidden problems.
- Deep learning algorithms continuously optimize the model to adapt to different production environments and product types.
WeLinkirt's Solution and Product Introduction
WeLinkirt provides the DaoAI AI AOI software system and the DaoAI 2D/3D AI AOI device. The DaoAI AI AOI software system has a powerful feature recognition ability. It only takes 5 minutes to complete 0 - code automatic programming for a good product, greatly shortening the production line change time. At the same time, the system also has a semantic false alarm filtering function, which can effectively reduce the false alarm rate. The self - developed 3D camera and three - dimensional topography reconstruction technology of the DaoAI 2D/3D AI AOI device can achieve all - round detection of the PCBA, including the detection of hidden solder joints and micrometer - level topography. In terms of implementation, we deploy the system and equipment to the customer's production line. Through SDK/API/Docker and other methods, we support 100% local private deployment to ensure that the data does not leave the factory and protect the customer's data security.
WeLinkirt's AI vision inspection solution provides efficient and accurate guarantee for PCBA assembly inspection.
Quantitative results: After adopting WeLinkirt's solution, the detection rate of missing components and incorrect connector installation has increased to 98%, and the missed detection rate has decreased to <2%. The false alarm rate has decreased by - 60%, greatly reducing the workload of manual re - inspection. The production line change time has been shortened from the original 30 minutes to 5 minutes, significantly improving production efficiency.
FAQ
What problems in PCBA assembly can Microchain DaoAI's AI visual inspection solution solve?
Microchain DaoAI's solution can solve the problems of missing components and incorrect connector installation in PCBA assembly. It can achieve a 98% detection rate, a <2% missed detection rate, reduce the false alarm rate by 60%, shorten the production line changeover time, and ensure data security.
What are the pain points of traditional PCBA detection methods?
Traditional detection methods have a missed detection rate of about 3% and a false alarm rate of about 20%. Manual inspection is prone to fatigue. A large number of false alarms disperse re-inspection resources, increasing the workload and cost of manual re-inspection. Programming and debugging take about 30 minutes for production line changeover.
What are the technical advantages of Microchain DaoAI's solution?
It uses the feature recognition technology of the visual basic model for accurate identification, APDT positive/small-sample learning to improve efficiency, self-developed 3D cameras combined with 3D topography reconstruction technology for comprehensive detection, and deep learning algorithms to optimize the model.