This system enables even those with limited coding skills to create AI-based applications. It deeply integrates process parameters and quality correlation models to achieve production-level reliability with a false alarm rate of less than 0.1%. Combined with a modular licensing model, it enables small and medium-sized manufacturers to upgrade to smart inspection at one-third the cost of traditional AOI equipment.
This system overcomes the bottleneck that hinders the industrialization of traditional AI: it integrates supervised classification and unsupervised anomaly detection to address the cost pain point of industrial data annotation. It achieves a 98% defect recognition accuracy with only 30 sets of samples. It can be directly connected to PLC or PC systems, seamlessly integrating with existing production lines, and requires only the computing power of a single graphics card.