Abstract. Quality control is a key requirement of the Fourth Industrial Revolution, especially in manufacturing. For high-value technical parts, the geometric and appearance quality need to be guaranteed. The control of the part, directly on the manufacturing line, can be achieved with noncontact sensors. Visible spectrum imaging is commonly used. However, more information could be obtained from broader spectrum imaging and from the degree of linear polarization of the light from the part. We investigate polarimetry. We have developed a simple polarimetric imaging system to verify whether linear polarization is capable of amplifying geometric and appearance defects. We evaluate the use of this polarimetric imager given the industrial constraints of injection molding. We compare the performances of different machine learning pipelines with hand-crafted feature extraction and deep transfer learning. With its industrial robustness, polarimetry could be a valuable addition to noncontact imagers for geometric and appearance quality control of plastic molded parts.

中文翻译：

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用于注塑成型质量控制的偏振成像

摘要。质量控制是第四次工业革命的关键要求，尤其是在制造业。对于高价值的技术零件，需要保证几何和外观质量。可以使用非接触式传感器直接在生产线上控制零件。通常使用可见光谱成像。但是，可以从更宽的光谱成像和来自零件的光的线性偏振度中获得更多信息。我们研究偏光法。我们开发了一个简单的偏振成像系统来验证线性偏振是否能够放大几何和外观缺陷。考虑到注塑成型的工业限制，我们评估了这种偏振成像仪的使用。我们将不同机器学习管道与手工特征提取和深度迁移学习的性能进行了比较。凭借其工业稳健性，旋光法可以成为非接触式成像器的重要补充，用于塑料成型部件的几何和外观质量控制。