DeepAI AI Chat
Log In Sign Up

Object detection-based inspection of power line insulators: Incipient fault detection in the low data-regime

12/21/2022
by   Laya Das, et al.
0

Deep learning-based object detection is a powerful approach for detecting faulty insulators in power lines. This involves training an object detection model from scratch, or fine tuning a model that is pre-trained on benchmark computer vision datasets. This approach works well with a large number of insulator images, but can result in unreliable models in the low data regime. The current literature mainly focuses on detecting the presence or absence of insulator caps, which is a relatively easy detection task, and does not consider detection of finer faults such as flashed and broken disks. In this article, we formulate three object detection tasks for insulator and asset inspection from aerial images, focusing on incipient faults in disks. We curate a large reference dataset of insulator images that can be used to learn robust features for detecting healthy and faulty insulators. We study the advantage of using this dataset in the low target data regime by pre-training on the reference dataset followed by fine-tuning on the target dataset. The results suggest that object detection models can be used to detect faults in insulators at a much incipient stage, and that transfer learning adds value depending on the type of object detection model. We identify key factors that dictate performance in the low data-regime and outline potential approaches to improve the state-of-the-art.

READ FULL TEXT

page 6

page 7

page 8

03/09/2022

Evaluation of YOLO Models with Sliced Inference for Small Object Detection

Small object detection has major applications in the fields of UAVs, sur...
11/21/2018

Rethinking ImageNet Pre-training

We report competitive results on object detection and instance segmentat...
12/11/2018

Reading Industrial Inspection Sheets by Inferring Visual Relations

The traditional mode of recording faults in heavy factory equipment has ...
09/21/2020

Segmentation and Defect Classification of the Power Line Insulators: A Deep Learning-based Approach

Power transmission network physically connects the power generators to t...
12/06/2021

Seeing BDD100K in dark: Single-Stage Night-time Object Detection via Continual Fourier Contrastive Learning

Despite tremendous improvements in state-of-the-art object detectors, ad...
05/14/2020

Temperate Fish Detection and Classification: a Deep Learning based Approach

A wide range of applications in marine ecology extensively uses underwat...