检测仪应用图像处理与神经网络技术， 依照烧结看火工对烧结矿ＦｅＯ 含量的判断方法， 用ＣＣＤ 摄像机采集烧结机尾断面图像，对所采集的图像进行实时处理，并提取特征，再由根据烧结看火工的经验知识训练的ＢＰ神经网络对图像样本分类识别，最后给出相应的ＦｅＯ 含量等级。 Detector using image processing and neural network technology, in accordance with the sintering to see the determination of the sinter FeO content of sinter, with a CCD camera to collect sinter tail cross-section images of the collected images in real-time processing, and extracted features, and then by Sintering to see the experience of the fire-trained BP neural network image samples for classification and identification, and finally give the corresponding FeO content level.