Edge Computing-Based Auxiliary Identification of Airborne Transmission Line Inspection Defects

This paper presents an innovative approach for identifying defects in transmission line inspections using edge computing. This technology, known as 'Airborne Defects Auxiliary Identification Technology of Transmission Line Inspection based on Edge Calculation,' leverages the power of edge devices to enhance defect detection accuracy and efficiency. By processing data at the edge, near the source of information, this approach reduces latency and improves real-time analysis capabilities. The paper explores the advantages of edge computing in this context, including improved data processing speed, reduced bandwidth requirements, and enhanced security. It also discusses the implementation of the technology and its potential impact on the effectiveness of transmission line inspections. The research highlights the benefits of this technology in improving the efficiency, accuracy, and reliability of transmission line inspections.