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段针对钢制圆柱工件开展激光表面热处理工艺（亦称激光热处理）所采集的视频。本数据集的设计目标为开展激光热处理异常检测，具体实现路径为基于一批无异常视频样本训练得到检测模型。在该激光热处理过程中，激光束以100Hz的频率沿类似“8字形”的路径运动，该运动路径有时会根据工件内的障碍物情况进行调整。视频由热成像摄像机以1000帧每秒的帧率录制。该热成像摄像机的像素值取值范围为0至1024，像素值越高代表工件温度越高。该热成像摄像机的分辨率为32×32像素，但视频已被裁剪至感兴趣区域（ROI, Region of Interest），因此仅展示激光热处理相关区域。