In the electronics/PCBA industry, the quality of gold fingers directly affects product performance. WeLinkirt (DaoAI) provides an efficient inspection solution for gold finger scratches and oxidation in this industry with advanced AI vision technology.
User scenario: On the production line of a leading electronics/PCBA manufacturer, the gold fingers on the PCBA boards need to be inspected before the assembly process. As the key part for the connection between the PCBA board and other devices, the scratches and oxidation on the surface of the gold fingers directly affect the electrical performance and stability of the product. Therefore, the manufacturer needs to conduct high-precision inspection on the gold fingers of each PCBA board to ensure product quality.
Pain points: Traditional automatic optical inspection (AOI) equipment has many problems in the inspection of gold finger scratches and oxidation. Due to the influence of ambient light, AOI equipment is prone to false alarms, with a false alarm rate as high as 30%. This not only increases the workload of manual re-inspection but also leads to low production efficiency. At the same time, traditional AOI is limited by rules and has difficulty in accurately identifying some subtle scratches and oxidation, with a missed detection rate of 5%. In addition, when the product is changed, traditional AOI equipment needs to spend a lot of time on programming and debugging, and the changeover time is as long as 30 minutes, seriously affecting the production progress.
Technical principle
WeLinkirt (DaoAI) uses deep learning algorithms combined with advanced imaging technology to solve the problem of gold finger scratch and oxidation detection. Deep learning algorithms have powerful feature learning capabilities and can learn the feature patterns of gold finger scratches and oxidation from a large amount of image data. By training the gold finger images under different lighting conditions, the algorithm can adaptively adjust the feature extraction strategy to reduce the influence of ambient light.
- In terms of imaging, WeLinkirt (DaoAI) uses high-resolution cameras and a special lighting system to clearly capture the surface details of the gold fingers. High-resolution cameras can provide sufficient pixel information, enabling accurate identification of subtle scratches and oxidation.
- The special lighting system uses multi-angle lighting technology. By irradiating the gold fingers with light from different angles, the features of the scratch and oxidation parts are highlighted, improving the accuracy of detection.
- WeLinkirt (DaoAI) also uses 3D topography reconstruction technology to perform 3D modeling of the surface of the gold fingers. By analyzing the 3D topography of the gold fingers, the degree of scratches and oxidation can be more accurately judged, further improving the accuracy of detection.
WeLinkirt (DaoAI) solution and products
WeLinkirt (DaoAI) provides the DaoAI AI AOI software system and the DaoAI 2D / 3D AI AOI equipment to solve the problem of gold finger scratch and oxidation detection. The DaoAI AI AOI software system has powerful feature recognition capabilities. Through the visual basic model, a good product can complete 0-code automatic programming in only 5 minutes. The system uses APDT positive sample/few sample learning technology. With only 1 - 20 good product images, it can quickly learn the normal features of the gold fingers, realize semantic false alarm filtering, and effectively reduce the false alarm rate.
The DaoAI 2D / 3D AI AOI equipment uses self-developed 3D cameras and 3D topography reconstruction technology, which can detect hidden solder joints, coplanarity, and micron-level topography. In the gold finger inspection, the equipment can accurately identify the scratches and oxidation on the surface of the gold fingers, and at the same time, it can also detect parameters such as the height and flatness of the gold fingers to ensure that the quality of the gold fingers meets the requirements.
Quantitative results: By using the WeLinkirt (DaoAI) solution, the detection rate of gold finger scratches and oxidation of the manufacturer reaches 98%, and the missed detection rate is reduced to <2%. The false alarm rate is reduced by -65%, greatly reducing the workload of manual re-inspection. The product changeover time is shortened from 30 minutes to 5 minutes, improving production efficiency.
FAQ
What solutions does DaoAI provide for gold finger detection in the electronics/PCBA industry?
DaoAI offers the DaoAI AI AOI software system and DaoAI 2D / 3D AI AOI equipment. The former enables zero-code automatic programming and reduces false alarms, while the latter can detect various parameters to ensure gold finger quality.
What are the pain points of traditional AOI equipment in gold finger detection?
Traditional AOI equipment has many problems in gold finger detection. It is easily affected by ambient light, with a false alarm rate as high as 30%. Limited by rules, the missed detection rate reaches 5%. Also, it takes 30 minutes for programming and debugging when changing product models, affecting production progress.
What are the effects of DaoAI's solution in gold finger detection?
By using DaoAI's solution, the detection rate of scratches and oxidation of gold fingers by electronics/PCBA manufacturers reaches 98%, the missed detection rate drops to <2%, and the false alarm rate is reduced by 65%, effectively improving detection quality and efficiency.