Anomaly Detection with Laser Heat Treatment Thermal Videos

This data set comprises 4223 videos from a laser surface heat treatment process (also called laser heat treatment) applied to cylindrical workpieces made of steel. The purpose of the dataset is to detect anomalies in the laser heat treatment learning a model from a set of non-anomalous videos.In the laser heat treatment, the laser beam is following a pattern similar to an "eight" with a frequency of 100 Hz. This pattern is sometimes modified to avoid obstacles in the workpieces.The videos are recorded at a frequency of 1000 frames per second with a thermal camera. The thermal camera pixel values range from 0 to 1024, where higher values means higher temperatures. The thermal camera has a resolution of 32x32 pixels, but a region of interest (ROI) is applied to the videos, so only the laser heat treatment is shown in the videos.

本数据集包含4223段针对钢制圆柱形工件的激光表面热处理（laser surface heat treatment，亦可简称激光热处理）过程视频。本数据集的应用目标为实现激光表面热处理过程的异常检测，具体实现路径为从一批无异常视频样本中学习构建检测模型。在该激光热处理流程中，激光束以100Hz的频率沿近似“8”字形的轨迹运动，该运动轨迹有时会因避让工件上的障碍物而进行调整。本次采集的视频由热成像相机录制，帧率达1000帧每秒。该热成像相机的像素值取值范围为0至1024，像素值越高则对应区域的温度越高。该热成像相机的原始分辨率为32×32像素，但视频已通过感兴趣区域（Region of Interest, ROI）进行裁剪，最终仅展示激光表面热处理相关的区域画面。