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Lumber Defects

Lumber Defects

Lumber defects, which can affect both the appearance and structural integrity of wood, include a variety of growth and manufacturing flaws. Growth defects such as knots and knotholes occur where branches were once attached to the tree trunk, with knotholes forming when these knots fall out. Other natural defects include decay and insect damage, which compromise the wood's strength and durability.
Shakes are minor fractures that run along or across the wood's annual rings, while wane is...

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Updated: May 16, 2026

A 3D-printed Chamber for Organic Optoelectronic Device Degradation Testing

A 3D-printed Chamber for Organic Optoelectronic Device Degradation Testing

Published on: August 10, 2018

YOLO-BFRV:用于检测印刷电路板缺陷的高效模型.

Jiaxin Liu¹, Bingyu Kang¹, Chao Liu¹

¹College of Computer and Control Engineering, Northeast Forestry University, Harbin 150040, China.

Sensors (Basel, Switzerland)

|September 28, 2024

概括

本研究介绍了YOLO-BFRV,这是一个改进的YOLOv8模型,用于准确检测印刷电路板 (PCB) 缺陷. 新型号显著提高了准确性和速度,同时减少了计算负载,从而提高了电路板的安全性.

关键词:

在BIFPN和BIFPN之间.快速网络 (FasterNet) 是一个快速的网络.电路板缺陷检测检测 PCB缺陷检测在RepHead中,使用的是RepHead.这就是YOLOv8的意义.功能损失的功能损失的功能.

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Last Updated: May 16, 2026

A 3D-printed Chamber for Organic Optoelectronic Device Degradation Testing

A 3D-printed Chamber for Organic Optoelectronic Device Degradation Testing

Published on: August 10, 2018

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Published on: January 31, 2019

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科学领域:

电气工程电气工程
计算机视觉计算机视觉
人工智能的人工智能

背景情况:

印刷电路板 (PCB) 缺陷检测对于电子设备的安全性和稳定性至关重要.
小的PCB区域会导致密集分布的缺陷,挑战传统的检测方法并降低准确性.
现有的模型在复杂的PCB缺陷识别所需的效率和准确性方面扎.

研究的目的:

提出一个改进的基于YOLOv8的模型,YOLO-BFRV,以实现更高效,更准确的PCB缺陷识别.
为了增强特征提取,减少计算负载,并提高密集分布的缺陷的检测速度和准确性.
为了验证该模型在PCB缺陷检测方面比现有基准的优势.

主要方法:

整合双向特征金字塔网络 (BIFPN) 以丰富语义信息和扩大受感领域.
将YOLOv8骨干改进为轻量级的FasterNet,以改进轻微缺陷检测和减少计算.
实现了高速重新参数化的检测头 (RepHead) 和VarifocalLoss,以实现更快的推断和更高的准确性.

主要成果:

与YOLOv8s基准相比,YOLO-BFRV模型的平均精度 (mAP) 提高了4.12%.
检测速度提升了45.89%,明显超过了基线模型.
以千兆浮点运算 (GFLOPs) 测量的计算负载减少了82.53%.

结论:

拟议的YOLO-BFRV模型在PCB缺陷检测方面表现出卓越的性能,提供更高的准确性和效率.
BIFPN,FasterNet,RepHead和VarifocalLoss的组合有效地解决了密集分布的缺陷所带来的挑战.
这种先进的模型通过更可靠的PCB检查,有助于提高电子设备的安全性和稳定性.