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Optical-Cavity-Based Multiwavelength Sensor for Spectral Discrimination and Object Position Detection

机译:基于光腔的多波长传感器,用于光谱识别和目标位置检测

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摘要

An optical-cavity-based multiwavelength sensor is developed for object discrimination and position finding. The working principle of this device employs the multiple laser beam triangulation method to determine object position in addition to its ability to recognize them. The multiwavelength sensor employs five different identically polarized and overlapped laser light beams that are sequentially pulsed and launched through a custom-made curved optical cavity to generate multiple laser spots for each laser. The intensities of the reflected light beams from the different spots are detected by a high-speed area scan image sensor. The discrimination between five different objects, namely, brick, cement sheet, roof tile, cotton, and leather is accomplished by calculating the slopes of the objects' reflectance spectra at the employed wavelengths. The object position (coordinates) are determined using the triangulation method, which is based on the projection of laser spots along determined angles on the objects and the measurements of the objects' reflectance spectra using an image sensor. Experimental results demonstrate the ability of the multiwavelength spectral reflectance sensor to simultaneously discriminate between different objects and predict their positions over a 6 m range with an accuracy exceeding 92%.
机译:开发了基于光腔的多波长传感器,用于物体识别和位置查找。该设备的工作原理除了能够识别物体之外,还采用多束激光三角测量法来确定物体位置。多波长传感器采用五种不同的相同偏振和重叠的激光束,这些激光束通过定制的弯曲光学腔依次脉冲并发射,以为每个激光器生成多个激光点。来自不同点的反射光束的强度由高速区域扫描图像传感器检测。通过计算所用波长下物体反射光谱的斜率,可以实现对五个不同物体(砖,水泥板,屋面瓦,棉和皮革)的区分。使用三角测量法确定对象位置(坐标),该方法基于激光点沿确定角度在对象上的投影以及使用图像传感器对对象反射光谱的测量。实验结果表明,多波长光谱反射率传感器能够同时区分不同物体并预测其在6 m范围内的位置,其准确度超过92%。

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