Anomaly Detection with Laser Surface Heat Treatment Process 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实施激光表面热处理（又称激光热处理）工艺的视频。本数据集旨在通过非异常视频样本学习模型，实现激光热处理过程中的异常检测。该激光热处理流程中，激光束以100Hz的频率沿类似‘8’字形的路径运动，该运动路径有时会针对工件内的障碍物进行调整。本次录制采用热成像相机，视频帧率为1000帧每秒；该热成像相机的像素值取值范围为0至1024，数值越高代表温度越高。该热成像相机原生分辨率为32×32像素，但已对视频应用感兴趣区域（ROI，Region of Interest）裁剪，最终画面仅保留激光热处理相关区域。