Violation Recognition for Power Infrastructure Operation Scenarios Based on YOLOv8

With the complexity of power infrastructure operation scenarios and the improvement of safety requirements, timely identification and prevention of operation violations by operators have become an important means to ensure work safety. Based on the YOLOv8 target detection algorithm, this study proposes a violation recognition method for power infrastructure operation scenarios. By constructing an image dataset containing typical operation scenarios and labeling and classifying the irregularities in combination with the actual operation specifications, the model is able to detect and identify potential irregularities in real time. The experimental results show that the recognition method based on YOLOv8 has high accuracy and efficiency in power infrastructure scenarios, which provides technical support for the development of intelligent monitoring systems.