Abstract: With the widespread applications of drones, inspection robots, and remote monitoring systems in power scenarios such as transmission, transformation, distribution, and safety supervision, the power vision technology is utilized to automatically process massive inspection images, thus the intelligent operation and maintenance level of power systems can be further enhanced, playing a crucial role in the rapid advancement of China's source-grid-load-storage integration process. With the rise of general-purpose large vision models, the electric power vision technology is embarking on an important transition from the traditional deep learning era to the era of large models. In this paper, the latest research progress in electric power vision technology and general-purpose large vision models is summarized. Combined the precedents of large vision models' applications in various public scenarios, three main capability boundary issues that large vision models will face in the field of power vision are investigated. From initially attempting to apply general-purpose large vision models to establishing power-specific large vision models, the four model application paradigms to break through the capability boundaries of large vision models are proposed. Finally, the impact of large vision models on electric power vision researchers is analyzed, and prospects in the development direction of electric power vision technology under the wave of large models are put forward.