机器学习在产品信息字符视觉检测中的应用

Machine Learning for the Visual Inspection of Product Information Characters

现代工业自动化生产对产品信息字符视觉检测提出了更高要求.应用基于实例学习的机器学习方法,通过训练建立适合特定应用任务的字体实例和产品信息字符模式实例,获得优化检测参数,从而进行实时高效产品信息检测.

The requirement for product information characters visual inspection is continuously increased in the modern industry manufacturing. The machine learning method of instance-based learning was applied in the machine vision inspection of information characters. Both font instance and characters pattern instance of production information adapted well to special application were established by training, optimized inspection parameters were also acquired. Then products information can be effectively inspected in real time.