A Novel Monocular Vision Technique for the Detection of Electric Transmission Tower Tilting Trend

Transmission lines are primarily deployed overhead, and the transmission tower, acting as fulcrum, can be affected by unbalanced force of wire extreme weather, resulting in tower tilt, deformation, or collapse. This jeopardize safe operation power grid even cause widespread failures, significant economic losses. Given limitations current tilt detection methods, this paper proposes a analysis method based on monocular vision images. The camera collects profile contour features model is combined to realize calculation tilt. Through improved visual monitoring method, perception accuracy 7.5%, axial eccentricity accurate ±2 mm. provides real-time reliability simple for detecting inclination, significantly reducing staff inspection intensity ensuring system operates safely efficiently.