◆ Industrial AI visual inspection solution
Deep-learning-based intelligent detection of PCB solder joint defects, replacing manual visual inspection.
One SMT line needs 4-8 fewer quality inspectors, saving hundreds of thousands in labor costs each year.
Is your factory struggling with these problems?
Inspector wages, social insurance, meals and lodging, and management overhead are all expensive. Staff turnover, long training cycles, and shifting moods cause misjudgments, and night-shift rotation makes management harder.
Cold solder joints, bridged solder joints, and other defects flow downstream, causing batch rework, customer returns, and brand claims. Frequent complaints damage your company reputation.
Different inspectors apply different levels of strictness, so the same batch can be judged in opposite ways. Quality data is scattered and cannot satisfy IATF 16949 or medical device audit requirements.
The system automatically identifies PCB solder joint defects, runs 24 hours a day without interruption, and applies one permanent inspection standard, delivering quantifiable economic benefits.
Covers the entire PCB solder joint inspection workflow and recognizes a wide range of defect types
Automatically identifies cold solder joints, insufficient solder, excess solder, solder bridging, solder balls, pinholes, misalignment, hidden BGA defects, and many other solder joint problems
A visual dashboard shows inspection progress, pass rate, top defect analysis, capacity trends, and other key metrics in real time
Daily, weekly, and monthly reports are generated automatically. During a factory audit, every inspection record can be pulled up with one click, so quality traceability is always documented
Inspects multiple PCB images in sequence and automatically aggregates the results, greatly improving inspection efficiency
Defect locations are automatically marked with red boxes, so repair technicians can go straight to the spot, reducing rework difficulty and workload
A visual interface with one-click inspection start-up. No algorithm specialists are needed, and an ordinary operator can pick it up quickly
A clean, easy-to-use interface that makes quality management more efficient
Deep learning algorithms trained on millions of real industrial samples
Iterated on millions of real production-line PCB solder joint samples rather than a generic open-source model, with strong interference resistance in reflective, color-shifted, and low-light environments
Each frame takes only 0.1 seconds to process, matching high-speed SMT lines. The system runs 24 hours a day with an extremely low failure rate
Standard API and SDK interfaces complete MES/ERP integration in 3-7 days. On-premises deployment keeps data inside the factory intranet
Runs on an ordinary industrial PC with no need for expensive high-end GPUs, and is compatible with the vast majority of industrial cameras, so existing hardware can be reused
New defect types raised by customers are added to the model free of charge, with long-term after-sales technical support and regular remote tuning, so you never need to build an in-house algorithm team
Built for the high temperatures and dust of a factory floor. Anomalies raise automatic pop-up alerts, and image dropouts or camera failures are reported in real time to keep production running without interruption
Flexible engagement models that lower your upfront investment
Free on-site survey, sample testing, and a 7-day on-site trial. Work with us once you are satisfied
Professional engineers deploy and commission the system on site and train your staff so they get up to speed quickly
Model iteration and updates, fast remote after-sales support, and free optimization for newly added defect types
Choose from a full hardware-and-software package, a software-only license, or per-line rental
Book a free demo today and see how AI inspection cuts costs and boosts efficiency
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