Abstract
In order to effectively improve the work efficiency and real-time performance of an automatic inspection of power transmission and transformation, this paper studies the automatic inspection method of power transmission and transformation based on artificial intelligence image recognition technology. First, we use cameras and unmanned aerial vehicles (UAVs) to obtain image data for power transmission and transformation inspection. Second, through the artificial sample calibration and reconstruction technology, the power transmission, and transformation inspection sample database is constructed. Then, the model is trained using the Faster-R CNN algorithm based on regional relationship features. Finally, the model is further optimized through model release and evaluation to realize intelligent diagnosis in power transmission and transformation detection. This research raises the recognition accuracy of power transmission and transformation inspection, improves the intelligence and efficiency of inspection, and provides good technical support for the construction of intelligent operation inspection.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
