基于改进的YOLOv7的带钢表面缺陷检测研究
Baozhan Lv1, Beiyang Duan1, Yeming Zhang1
1School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454003, China.
Sensors (Basel, Switzerland)
|May 11, 2024
概括
这项研究引入了改进的YOLOv7算法,用于实时检测钢带表面缺陷. 改进的方法实现了更高的准确性和更快的检测速度,这对于钢铁生产的质量控制至关重要.
科学领域:
- 材料科学 材料科学 材料科学
- 计算机视觉 计算机视觉
- 人工智能的人工智能
背景情况:
- 表面缺陷检测对于条形钢质量控制至关重要.
- 现有的方法与各种缺陷类型,尺度和不规则分布作斗争,阻碍了快速准确的检测.
- 挑战包括各种缺陷纹理和复杂的环境因素.
研究的目的:
- 开发一个实时的,高精度的表面缺陷检测算法,用于条形钢.
- 提高工业环境中缺陷识别的效率和准确性.
- 解决目前检测多样化和不规则分布的缺陷的方法的局限性.
主要方法:
- 使用YOLOv7作为基线架构.
- 在骨干网络中集成部分卷积 (Partial Conv),以减少模型大小和增加检测速度.
- 将CA注意力机制集成到ELAN模块中,以提高复杂环境中的特征提取能力.
- 在输出处实现了SPD卷积模块,以增强检测小表面缺陷的功能.
主要成果:
- 在NEU-DET数据集上获得了80.4%的平均平均精度 (mAP@IoU = 0.5),比基线改善了4.0%.
- 减少了8.9%的网络参数数量.
- 计算负载减少了21.9% (GFLOPs),同时达到90.9 FPS的检测速度.
结论:
- 拟议的基于YOLOv7的算法在实时钢带表面缺陷检测方面取得了重大进展.
- 这些修改有效地提高了检测准确度,速度和效率,特别是在小型和复杂的缺陷方面.
- 该算法满足了在条形钢生产中实时质量控制的严格要求.
相关概念视频
01:18Reducing Line Loss
151
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
151
01:12Differential Leveling
170
Differential leveling is a precise method in surveying used to determine the elevation difference between two points. Its primary goal is to establish accurate vertical measurements to create level surfaces or grade lines critical for designing and constructing infrastructures such as roads, bridges, and buildings.The procedure for differential leveling begins with setting up and leveling the instrument at a point where the benchmark can be seen. The level rod is held on the benchmark (BM), and...
170
00:56Extraction: Advanced Methods
446
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
446
01:00Detection of Gross Error: The Q Test
6.1K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
6.1K
01:05Difference from Background: Limit of Detection
6.4K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
The LOD indicates the presence or absence...
6.4K