TTower-345: a multi-categories multi-perspectives benchmark for automatic naming of transmission line inspection photos
by Jinqing Shen; Hong Ye; Chunjun Tang; Guoqin Zhang; Yan He; Min Xie
International Journal of Advanced Mechatronic Systems (IJAMECHS), Vol. 11, No. 1, 2024

Abstract: Efficient naming of inspection photos of transmission line towers is vital in the maintenance of power grid equipment. Current inspection photo naming methods are mainly manual, which is neither rapid nor effective. Research on inspection photo naming is limited due to a shortage of inspection image datasets and low image resolution. Hence, we gathered inspection photos of real tangent towers using drones and created an inspection photo dataset TTower-345 for automatic naming model training purposes. We proposed an automatic naming model, IELC (improved EfficientNet network and LBP classification model), based on this dataset. IELC comprises a dual-branch structure that integrates a jointly improved EfficientNet model and an local binary patterns (LBP) classification model. Experimental results indicated that the proposed dataset contains more diverse inspection image features, which in turn helped the model learn more features. In our experiments, our proposed automatic naming method achieved a classification accuracy of over 95% and demonstrated reliability by exhibiting good generalisability in practical scenarios.

Online publication date: Mon, 25-Mar-2024

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Advanced Mechatronic Systems (IJAMECHS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com