在深度学习的推动下, 目标检测方法在工业安防领域取得了很大的进展, 安全帽佩戴检测任务
逐渐成为智能图像识别领域的一项重要研究课题. 为了综合分析深度学习技术在安全帽佩戴检测 …

安全帽是施工现场最常见和实用的个人防护工具, 能够有效防止和减轻意外带来的头部伤害.
安全帽检测是施工现场人员安全管理的主要工作, 也是施工现场智能化监控技术的重要内容 …

Workplace video surveillance and timely response to operational violations are critical to
avoid operator injuries at power construction sites. Here, a system that combines remote …

Despite the continuous advancement of intelligent power substations, the terminal block
components within equipment cabinet inspection work still often require loads of personnel …

Electrocution accidents caused by operation and maintenance personnel and high-voltage
live equipment frequently occur in substations. Although many cameras have been installed …

The accurate and timely detection of irregular behavior of substation personnel plays an
important role in maintaining personal safety and preventing power outage accidents. This …

Ensuring compliance with safety regulations regarding wearing is essential for the safety
and security of those working on substation construction sites. However, relying on …

Purpose Computer vision and deep learning (DL) methods have been investigated for
personal protective equipment (PPE) monitoring and detection for construction workers' …

With the development of intelligent substations, inspection robots are widely used to ensure
the safe and stable operation of substations. Due to the prevalence of grass around the …

Timely and accurately detecting personal protective equipment (PPE) usage among workers
is essential for substation safety management. However, traditional algorithms encounter …