In the electronics/PCBA industry, the quality of gold fingers is crucial for product performance. DaoAI's 2D AI AOI equipment provides an efficient solution for detecting gold finger scratches and oxidation problems with advanced technology.
User Scenario: In the PCBA production line of a leading electronics manufacturing company, after the circuit board assembly process, a comprehensive inspection of the gold fingers on the circuit board is required. As the key part connecting the circuit board to external devices, scratches and oxidation defects on the surface of the gold fingers can seriously affect the signal transmission and stability of the circuit board, making it a key object of product inspection.
Pain Points: In the current intelligent manufacturing process under the Agentic Infra architecture, the company faces many dilemmas. The false negative rate of traditional inspection methods is as high as 3%, resulting in some defective products flowing into the market and affecting the company's reputation. At the same time, the false positive rate reaches 20%. A large number of false alarms increase the workload of manual re-inspection, and the labor cost rises significantly. Moreover, the model change time is as long as 30 minutes, seriously affecting production efficiency and unable to meet the rapidly changing market demand.
Technical Principle
DaoAI's 2D AI AOI equipment uses high-resolution 2D imaging technology and deep-learning secondary image judgment algorithm. High - resolution 2D imaging can capture the tiny details of the gold finger surface, accurately converting the morphology of the gold finger into image data. Its resolution can reach the micrometer level, clearly presenting minor defects such as scratches and oxidation. The deep-learning secondary image judgment algorithm conducts a further in - depth analysis of the suspected defect areas on the basis of the initial image analysis. Through a large number of positive-sample learning, the model can accurately identify defect features and distinguish real defects from normal surface textures. The algorithm also combines semantic false-alarm filtering technology. According to the semantic information of defects, such as shape, size, and position, it filters false-alarm information, greatly improving the accuracy of detection.
- High - resolution 2D imaging: It can capture micrometer-level details to ensure the complete acquisition of defect information.
- Deep - learning secondary image judgment: It improves the ability to identify defects through positive-sample learning.
- Semantic false-alarm filtering: It reduces false alarms according to defect semantic information and improves detection accuracy.
DaoAI Solution and Product
DaoAI provides a complete solution for the company with the 2D AI AOI equipment as the core. The equipment has the ability of high-speed online full inspection and can conduct a comprehensive inspection of each gold finger without affecting the production rhythm. In the implementation process, the DaoAI AI AOI software system is used for programming. It only takes 5 minutes to complete the 0-code automatic programming of a good product, and through APDT positive-sample/few-sample learning (only 10 good samples are needed), an accurate detection model can be quickly established. At the same time, the semantic false-alarm filtering function of the equipment is combined with the software system to further reduce the false positive rate.
The 2D AI AOI equipment provides an efficient and accurate solution for the gold finger inspection in the electronics/PCBA industry with high-resolution imaging and deep-learning algorithms.
Quantitative Results: After using DaoAI's 2D AI AOI equipment, the defect detection rate of the company's gold fingers has increased to 99.2%, and the false negative rate has been reduced to <0.8%, effectively preventing defective products from flowing into the market. At the same time, the false positive rate has been reduced by -65%, greatly reducing the workload of manual re-inspection. The model change time has been shortened to 5min, and the production efficiency has been significantly improved, enabling better adaptation to market changes.
FAQ
How small gold finger defects can the 2D AI AOI equipment detect?
The equipment uses high-resolution 2D imaging technology with a resolution up to the micrometer level. It can clearly capture minor scratches and oxidation on the gold finger surface and effectively detect micrometer-level defects.
How much can the model change time be shortened after using this equipment?
After using DaoAI's 2D AI AOI equipment in combination with the DaoAI AI AOI software system, the model change time can be shortened from the original 30 minutes to 5min, significantly improving production efficiency.
How does the equipment reduce the false positive rate?
The equipment uses a deep-learning secondary image judgment algorithm and semantic false-alarm filtering technology. It accurately identifies defects through positive-sample learning and filters false alarms according to defect semantic information, reducing the false positive rate by -65%.